Sriram Sankararaman

Biochemistry, Genetics and Molecular Biology

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile

15.8Author DataRank

Indexed papers

3in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 3 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The Simons Genome Diversity Project: 300 genomes from 142 diverse populations

Nature(2016)10.1038/nature18964

Top 2%

8.6DataRank

Top 2%1785 citations

Alexandra P. Lewis, Mark Lipson, Iain Mathieson, Madhusudan Gujral, Fernando Racimo +86 more

Papers

Driven by 65 papers — median percentile 98. Top paper: “The Simons Genome Diversity Project: 300 genomes from 142 diverse populations”.

The Simons Genome Diversity Project: 300 genomes from 142 diverse populations

Nature(2016)10.1038/nature18964

Top 2%

8.6DataRank

Top 2%1785 citations

Alexandra P. Lewis, Mark Lipson, Iain Mathieson, Madhusudan Gujral, Fernando Racimo +86 more

The complete genome sequence of a Neanderthal from the Altai Mountains

Nature(2013)10.1038/nature12886

Top 2%

7.2DataRank

Top 2%2430 citations

Fernando Racimo, Nick Patterson, Flora Jay, Sriram Sankararaman, Susanna Sawyer +45 more

Quantifying the contribution of dominance deviation effects to complex trait variation in biobank-scale data

The American Journal of Human Genetics(2021)10.1016/j.ajhg.2021.03.018

N/A

1.4DataRank · unranked

45 citations

Alec Chiu, Kathryn S. Burch, Bogdan Paşaniuc, Sriram Sankararaman, Ali Pazokitoroudi

Large uncertainty in individual PRS estimation impacts PRS-based risk stratification

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.30.403188

N/A

0.955DataRank · unranked

11 citations

Kangcheng Hou, Kathryn S. Burch, Sandra Lapinska, Florian Privé, Bjarni J. Vilhjálmsson +3 more

Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology

Nature Communications(2019)10.1038/s41467-019-11052-9

N/A

0.782DataRank · unranked

183 citations

Regev Schweiger, Brooke Rhead, Lindsey A. Criswell, Lisa F. Barcellos, Eleazar Eskin +4 more

Cross-trait assortative mating is widespread and inflates genetic correlation estimates

Science(2022)10.1126/science.abo2059

N/A

0.762DataRank · unranked

160 citations

Georgios Athanasiadis, Alfonso Buil, Andrew J. Schork, Na Cai, Alexander I. Young +7 more

Causal effects on complex traits are similar for common variants across segments of different continental ancestries within admixed individuals

Nature Genetics(2023)10.1038/s41588-023-01338-6

N/A

0.727DataRank · unranked

126 citations

Yi Ding, Ziqi Xu, Yue Wu, Arjun Bhattacharya, Rachel Mester +24 more

Efficient variance components analysis across millions of genomes

Nature Communications(2020)10.1038/s41467-020-17576-9

N/A

0.624DataRank · unranked

63 citations

Yue Wu, Kathryn S. Burch, Kangcheng Hou, Aaron Zhou, Bogdan Paşaniuc +2 more

Fast estimation of genetic correlation for biobank-scale data

The American Journal of Human Genetics(2021)10.1016/j.ajhg.2021.11.015

N/A

0.568DataRank · unranked

43 citations

Kathryn S. Burch, Andrea Ganna, Päivi Pajukanta, Bogdan Paşaniuc, Sriram Sankararaman +1 more

Personalized mood prediction from patterns of behavior collected with smartphones

npj Digital Medicine(2024)10.1038/s41746-024-01035-6

N/A

0.529DataRank · unranked

33 citations

Chris Douglas, Darsol Seok, Liat Shenhav, Yue Wu, Doxa Chatzopoulou +13 more

Automated identification of clinical features from sparsely annotated 3-dimensional medical imaging

npj Digital Medicine(2021)10.1038/s41746-021-00411-w

N/A

0.489DataRank · unranked

25 citations

Jeffrey N. Chiang, Muneeswar Gupta Nittala, Giulia Corradetti, Liran Tiosano, Swetha Bindu Velaga +9 more

Accurate prediction of disease-risk factors from volumetric medical scans by a deep vision model pre-trained with 2D scans

Nature Biomedical Engineering(2024)10.1038/s41551-024-01257-9

N/A

0.406DataRank · unranked

14 citations

Berkin Durmus, Nadav Rakocz, Giulia Corradetti, Ulzee An, Muneeswar Gupta Nittala +28 more

Fair positive unlabeled learning for predicting undiagnosed Alzheimer’s disease in diverse electronic health records

npj Digital Medicine(2025)10.1038/s41746-025-02111-1

N/A

0.241DataRank · unranked

4 citations

Mingzhou Fu, Jessica Fung, Sriram Sankararaman, David Elashoff, Keith Vossel +2 more

The date of interbreeding between Neandertals and modern humans

arXiv (Cornell University)(2012)10.48550/arxiv.1208.2238

N/A

0.241DataRank · unranked

4 citations

Nick Patterson, Alexandra P. Lewis, Svante Pääbo, David Reich, Sriram Sankararaman

A scalable and robust variance components method reveals insights into the architecture of gene-environment interactions underlying complex traits

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.12.12.571316

N/A

0.104DataRank · unranked

1 citations

Andrew Dahl, Noah Zaitlen, Saharon Rosset, Sriram Sankararaman, Ali Pazokitoroudi

Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative

Genome Medicine(2022)10.1186/s13073-022-01106-x

N/A

0DataRank · unranked

51 citations

Yi Ding, Vidhya Venkateswaran, Arjun Bhattacharya, Kristin Boulier, Alec Chiu +21 more

Robust Mendelian randomization in the presence of residual population stratification, batch effects and horizontal pleiotropy

Nature Communications(2022)10.1038/s41467-022-28553-9

N/A

0DataRank · unranked

31 citations

Nathan LaPierre, Brian L. Hill, Sriram Sankararaman, Eleazar Eskin, Carlos Cinelli

Autonomous wearable sweat rate monitoring based on digitized microbubble detection

Lab on a Chip(2022)10.1039/d2lc00670g

N/A

0DataRank · unranked

10 citations

Wenzhuo Yu, Jorge Emiliano De Dios Suarez, Harish Athavan, Yibo Wang, Christopher Yeung +5 more

Evaluating supervised and unsupervised background noise correction in human gut microbiome data

PLoS Computational Biology(2022)10.1371/journal.pcbi.1009838

N/A

0DataRank · unranked

11 citations

Brunilda Balliu, Sriram Sankararaman, Eran Halperin, Nandita R. Garud, Leah Briscoe

Deep Learning-based Phenotype Imputation on Population-scale Biobank Data Increases Genetic Discoveries

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.15.503991

N/A

0DataRank · unranked

12 citations

Ali Pazokitoroudi, Marcus Alvarez, Lianyun Huang, Silviu‐Alin Bacanu, Andrew J. Schork +8 more

Phenotype integration improves power and preserves specificity in biobank-based genetic studies of MDD

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.15.503980

N/A

0DataRank · unranked

5 citations

Michael Thompson, Ulzee An, Morten Dybdahl Krebs, Vivek Appadurai, Richard Border +8 more

Causal effects on complex traits are similar across segments of different continental ancestries within admixed individuals

medRxiv(2022)10.1101/2022.08.16.22278868

N/A

0DataRank · unranked

4 citations

Yi Ding, Ziqi Xu, Yue Wu, Arjun Bhattacharya, Rachel Mester +23 more

Causal effects on complex traits are similar across segments of different continental ancestries within admixed individuals

Research Square(2022)10.21203/rs.3.rs-1950966/v1

N/A

0DataRank · unranked

2 citations

Yi Ding, Ziqi Xu, Yue Wu, Arjun Bhattacharya, Rachel Mester +23 more

The lingering effects of Neanderthal introgression on human complex traits

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.06.07.495223

N/A

0DataRank · unranked

1 citations

Christopher R. Robles, Ali Pazokitoroudi, Andrea Ganna, Alexander Gusev, Arun Durvasula +5 more

Personalized Mood Prediction from Patterns of Behavior Collected with Smartphones

medRxiv(2022)10.1101/2022.10.12.22281007

N/A

0DataRank · unranked

1 citations

Chris Douglas, Darsol Seok, Liat Shenhav, Yue Wu, Doxa Chatzopoulou +13 more

MaLAdapt reveals novel targets of adaptive introgression from Neanderthals and Denisovans in worldwide human populations

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.05.16.491756

N/A

0DataRank · unranked

0 citations

Bernard Kim, Armaan Singh, Sriram Sankararaman, Arun Durvasula, Kirk E. Lohmueller +1 more

Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder

Nature Genetics(2023)10.1038/s41588-023-01559-9

N/A

0DataRank · unranked

55 citations

Michael Thompson, Ulzee An, Morten Dybdahl Krebs, Vivek Appadurai, Richard Border +8 more

Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries

Nature Genetics(2023)10.1038/s41588-023-01558-w

N/A

0DataRank · unranked

53 citations

Ali Pazokitoroudi, Marcus Alvarez, Lianyun Huang, Silviu‐Alin Bacanu, Andrew J. Schork +8 more

The lingering effects of Neanderthal introgression on human complex traits

eLife(2023)10.7554/elife.80757

N/A

0DataRank · unranked

44 citations

Christopher R. Robles, Ali Pazokitoroudi, Andrea Ganna, Alexander Gusev, Arun Durvasula +5 more

MaLAdapt Reveals Novel Targets of Adaptive Introgression From Neanderthals and Denisovans in Worldwide Human Populations

Molecular Biology and Evolution(2023)10.1093/molbev/msad001

N/A

0DataRank · unranked

34 citations

Bernard Kim, Armaan Singh, Sriram Sankararaman, Arun Durvasula, Kirk E. Lohmueller +1 more

Fast kernel-based association testing of non-linear genetic effects for biobank-scale data

Nature Communications(2023)10.1038/s41467-023-40346-2

N/A

0DataRank · unranked

15 citations

Ali Pazokitoroudi, Mukund Sudarshan, Zhengtong Liu, Lakshminarayanan Subramanian, Sriram Sankararaman +1 more

Leveraging family data to design Mendelian randomization that is provably robust to population stratification

Genome Research(2023)10.1101/gr.277664.123

N/A

0DataRank · unranked

12 citations

Boyang Fu, S. A. Turnbull, Eleazar Eskin, Sriram Sankararaman, Nathan LaPierre

A biobank-scale test of marginal epistasis reveals genome-wide signals of polygenic epistasis

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.09.10.557084

N/A

0DataRank · unranked

9 citations

Ali Pazokitoroudi, Albert Xue, Aakarsh Anand, Prateek Anand, Noah Zaitlen +2 more

GPC: An expressive and tractable deep generative model for genetic variation data

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.16.541036

N/A

0DataRank · unranked

2 citations

Anji Liu, Meihua Dang, Boyang Fu, Xinzhu Wei, Guy Van den Broeck +2 more

SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data

Research Square(2023)10.21203/rs.3.rs-3044914/v1

N/A

0DataRank · unranked

2 citations

Berkin Durmus, Nadav Rakocz, Giulia Corradetti, Ulzee An, Muneeswar G. Nitalla +25 more

dotears: Scalable, consistent DAG estimation using observational and interventional data

arXiv (Cornell University)(2023)10.48550/arxiv.2305.19215

N/A

0DataRank · unranked

0 citations

J. N. K. Rao, Sriram Sankararaman, Harold Pimentel, Albert Xue

SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data

Research Square(2023)10.21203/rs.3.rs-3044914/v2

N/A

0DataRank · unranked

0 citations

Berkin Durmus, Nadav Rakocz, Giulia Corradetti, Ulzee An, Muneeswar G. Nitalla +25 more

A scalable and robust variance components method reveals insights into the architecture of gene-environment interactions underlying complex traits

The American Journal of Human Genetics(2024)10.1016/j.ajhg.2024.05.015

N/A

0DataRank · unranked

17 citations

Zhengtong Liu, Andrew Dahl, Noah Zaitlen, Saharon Rosset, Sriram Sankararaman +1 more

Characterizing the genetic architecture of drug response using gene-context interaction methods

Cell Genomics(2024)10.1016/j.xgen.2024.100722

N/A

0DataRank · unranked

15 citations

Mike Thompson, Joel Mefford, Tanushree Haldar, Akinyemi Oni‐Orisan, Richard Border +7 more

Admix-kit: an integrated toolkit and pipeline for genetic analyses of admixed populations

Bioinformatics(2024)10.1093/bioinformatics/btae148

N/A

0DataRank · unranked

16 citations

Stephanie M. Gogarten, Joohyun Kim, Xing Hua, Julie‐Alexia Dias, Quan Sun +89 more

dotears: Scalable and consistent directed acyclic graph estimation using observational and interventional data

iScience(2024)10.1016/j.isci.2024.111673

N/A

0DataRank · unranked

2 citations

J. N. K. Rao, Sriram Sankararaman, Harold Pimentel, Albert Xue

Scalable summary-statistics-based heritability estimation method with individual genotype level accuracy

Genome Research(2024)10.1101/gr.279207.124

N/A

0DataRank · unranked

3 citations

Ali Pazokitoroudi, Zhengtong Liu, Sriram Sankararaman, Moonseong Jeong

A scalable adaptive quadratic kernel method for interpretable epistasis analysis in complex traits

Genome Research(2024)10.1101/gr.279140.124

N/A

0DataRank · unranked

3 citations

Prateek Anand, Aakarsh Anand, Joel Mefford, Sriram Sankararaman, Boyang Fu

Epigenetic patient stratification via contrastive machine learning refines hallmark biomarkers in minoritized children with asthma

Research Square(2024)10.21203/rs.3.rs-5066762/v1

N/A

0DataRank · unranked

1 citations

Aditya Gorla, Esteban G. Burchard, Jonathan Witonsky, Noah Zaitlen, Jennifer R. Elhawary +11 more

Identifying common disease trajectories of Alzheimer’s disease with electronic health records

EBioMedicine(2025)10.1016/j.ebiom.2025.105831

N/A

0DataRank · unranked

5 citations

Sriram Sankararaman, Bogdan Paşaniuc, Keith Vossel, Timothy S. Chang, Mingzhou Fu

Identifying Common Disease Trajectories of Progressive Supranuclear Palsy with Electronic Health Records

Movement Disorders Clinical Practice(2025)10.1002/mdc3.70119

N/A

0DataRank · unranked

3 citations

Sriram Sankararaman, Keith Vossel, Timothy S. Chang, Mingzhou Fu

Investigating the sources of variable impact of pathogenic variants in monogenic metabolic conditions

Nature Communications(2025)10.1038/s41467-025-60339-7

N/A

0DataRank · unranked

3 citations

Richard Border, Boyang Fu, Sinéad Cullina, Nadav Brandes, Seon-Kyeong Jang +7 more

Leveraging ancestral recombination graphs for scalable mixed-model analysis of complex traits

Cell Genomics(2025)10.1016/j.xgen.2025.101072

N/A

0DataRank · unranked

1 citations

Georgios Kalantzis, Ali Pazokitoroudi, Árni Freyr Gunnarsson, Hrushikesh Loya, Han Chen +3 more

Comprehensive gene heritability estimation reveals the genetic architecture of rare coding variants underlying complex traits

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.07.681018

N/A

0DataRank · unranked

0 citations

Boyang Fu, Moonseong Jeong, Prateek Anand, Aakarsh Anand, Seon-Kyeong Jang +8 more

CACTI: Leveraging Copy Masking and Contextual Information to Improve Tabular Data Imputation

PubMed(2025)10.48550/arxiv.2506.02306

N/A

0DataRank · unranked

0 citations

Qi Wang, Zhengtong Liu, Ulzee An, Sriram Sankararaman, Aditya Gorla

Causal effects on complex traits are similar for common variants across segments of different continental ancestries within admixed individuals

UNC Libraries(2024)10.17615/7x9d-na26

N/A

0DataRank · unranked

0 citations

Rachel Mester, David V. Conti, M. FORNAGE, S. Buyske, E.E. Kenny +24 more

Recovering signals of ghost archaic introgression in African populations

Science Advances(2020)10.1126/sciadv.aax5097

N/A

0DataRank · unranked

178 citations

Sriram Sankararaman, Arun Durvasula

Scalable probabilistic PCA for large-scale genetic variation data

PLoS Genetics(2020)10.1371/journal.pgen.1008773

N/A

0DataRank · unranked

52 citations

Alec Chiu, Minh Quan Lê, Eran Halperin, Sriram Sankararaman, Aman Agrawal

Methods for detecting introgressed archaic sequences

Current Opinion in Genetics & Development(2020)10.1016/j.gde.2020.05.026

N/A

0DataRank · unranked

13 citations

Sriram Sankararaman

A two-step approach to testing overall effect of gene–environment interaction for multiple phenotypes

Bioinformatics(2020)10.1093/bioinformatics/btaa1083

N/A

0DataRank · unranked

9 citations

Kathryn S. Burch, Tanushree Haldar, Sriram Sankararaman, Bogdan Paşaniuc, W. James Gauderman +2 more

Quantifying the contribution of dominance effects to complex trait variation in biobank-scale data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.10.376897

N/A

0DataRank · unranked

7 citations

Alec Chiu, Kathryn S. Burch, Bogdan Paşaniuc, Sriram Sankararaman, Ali Pazokitoroudi

A scalable method for estimating the regional polygenicity of complex traits

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.15.908095

N/A

0DataRank · unranked

0 citations

Kathryn S. Burch, Kangcheng Hou, Mario Paciuc, Bogdan Paşaniuc, Sriram Sankararaman +1 more

Large uncertainty in individual polygenic risk score estimation impacts PRS-based risk stratification

Nature Genetics(2021)10.1038/s41588-021-00961-5

N/A

0DataRank · unranked

153 citations

Kangcheng Hou, Kathryn S. Burch, Sandra Lapinska, Florian Privé, Bjarni J. Vilhjálmsson +3 more

Detection of Neanderthal Adaptively Introgressed Genetic Variants That Modulate Reporter Gene Expression in Human Immune Cells

Molecular Biology and Evolution(2021)10.1093/molbev/msab304

N/A

0DataRank · unranked

52 citations

James R. Xue, Steven K. Reilly, Michael Dannemann, Fernando Racimo, Emilia Huerta‐Sánchez +6 more

Advancing admixture graph estimation via maximum likelihood network orientation

Bioinformatics(2021)10.1093/bioinformatics/btab267

N/A

0DataRank · unranked

49 citations

Arun Durvasula, Sriram Sankararaman, Erin K. Molloy

Estimation of regional polygenicity from GWAS provides insights into the genetic architecture of complex traits

PLoS Computational Biology(2021)10.1371/journal.pcbi.1009483

N/A

0DataRank · unranked

25 citations

Kathryn S. Burch, Kangcheng Hou, Mario Paciuc, Bogdan Paşaniuc, Sriram Sankararaman +1 more

Functional dynamic genetic effects on gene regulation are specific to particular cell types and environmental conditions

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.01.29.428868

N/A

0DataRank · unranked

5 citations

Alan Monziani, Allison L. Richards, Katie Rhodes, Michelle C. Ward, Cynthia A. Kalita +9 more

Inferring population structure in biobank-scale genomic data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.11.443705

N/A

0DataRank · unranked

4 citations

Erin K. Molloy, Zilong Tan, Ameet Talwalkar, Sriram Sankararaman, Alec Chiu

Advancing admixture graph estimation via maximum likelihood network orientation

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.02.02.429467

N/A

0DataRank · unranked

2 citations

Arun Durvasula, Sriram Sankararaman, Erin K. Molloy

Methylation risk scores are associated with a collection of phenotypes within electronic health record systems

npj Genomic Medicine(2022)10.1038/s41525-022-00320-1

N/A

0DataRank · unranked

58 citations

Brian L. Hill, Nadav Rakocz, Jeffrey N. Chiang, Daniel H. Geschwind, Sriram Sankararaman +5 more

Sriram Sankararaman

Indexed papers

Top data-sharing exemplar

Papers