David A. Knowles

Also affiliated with Io Therapeutics (United States), Columbia University

Biochemistry, Genetics and Molecular BiologyComputer Science

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

5.1Author DataRank

Indexed papers

2in 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 2 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.

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Nature Communications(2019)10.1038/s41467-019-09799-2

Top 4%

5.0DataRank

Top 4%368 citations

Dennis Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan +426 more

Papers

Driven by 34 papers — median percentile 63. Top paper: “Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen”.

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Nature Communications(2019)10.1038/s41467-019-09799-2

Top 4%

5.0DataRank

Top 4%368 citations

Dennis Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan +426 more

A human lung tumor microenvironment interactome identifies clinically relevant cell-type cross-talk

Genome biology(2020)10.1186/s13059-020-02019-x

N/A

2.1DataRank · unranked

54 citations

Angela Bik‐Yu Hui, Weiguo Feng, Armon Azizi, Ramesh V. Nair, Gina Bouchard +15 more

Molecular Choreography of Acute Exercise

Cell(2020)10.1016/j.cell.2020.04.043

N/A

0.929DataRank · unranked

488 citations

Si Wu, Kegan Moneghetti, Daniel Hornburg, Sara Ahadi, Ming‐Shian Tsai +27 more

An integrated approach to identify environmental modulators of genetic risk factors for complex traits

The American Journal of Human Genetics(2021)10.1016/j.ajhg.2021.08.014

N/A

0.524DataRank · unranked

32 citations

Ivan Carcamo‐Orive, Michael J. Gloudemans, Daniel Nachun, Matthew G. Durrant, Steven Gazal +7 more

Smoother: a unified and modular framework for incorporating structural dependency in spatial omics data

Genome biology(2023)10.1186/s13059-023-03138-x

N/A

0.330DataRank · unranked

8 citations

Jean-Baptiste Reynier, Xi Fu, Guojie Zhong, Jiahao Jiang, Rydberg Supo Escalante +6 more

Cas13d-mediated isoform-specific RNA knockdown with a unified computational and experimental toolbox

Nature Communications(2025)10.1038/s41467-025-62066-5

N/A

0.330DataRank · unranked

8 citations

Andrew Stirn, Keren Isaev, Laura C. J. Pereira, S H Park, Anjali Das +8 more

Large-scale causal discovery using interventional data sheds light on the regulatory network architecture of blood traits

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.13.562293

N/A

0.236DataRank · unranked

3 citations

John Morris, Tuuli Lappalainen, David A. Knowles, Brielin C. Brown

Alternating hemiplegia of childhood associated mutations in Atp1a3 reveal diverse neurological alterations in mice

Neurobiology of Disease(2025)10.1016/j.nbd.2025.106954

N/A

0.224DataRank · unranked

3 citations

Georgii Krivoshein, Scott I. Adamson, Elena Arystarkhova, Laura Anderson, John Szwec +16 more

Leveraging functional annotations to map rare variants associated with Alzheimer disease with gruyere

The American Journal of Human Genetics(2025)10.1016/j.ajhg.2025.07.016

N/A

0.165DataRank · unranked

2 citations

Chirag M. Lakhani, Chloé Terwagne, Jui-Shan T Lin, Tatsuhiko Naito, Towfique Raj +2 more

Molecular Choreography of Acute Exercise

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.13.905349

N/A

0.165DataRank · unranked

2 citations

Si Wu, Kegan Moneghetti, Daniel Hornburg, Sara Ahadi, Ming‐Shian Tsai +27 more

Mapping genetic effects on splicing in ten thousand post-mortem brain samples reveals novel mediators of neurological disease risk

medRxiv(2025)10.1101/2025.09.25.25336663

Top 70%

0.165DataRank

Top 70%2 citations

Kailash BP, Winston H. Cuddleston, Benjamin Müller, Beomjin Jang, Alex Tokolyi +5 more

An integrated approach to identify environmental modulators of genetic risk factors for complex traits

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.02.23.432608

N/A

0.104DataRank · unranked

1 citations

Ivan Carcamo‐Orive, Michael J. Gloudemans, Daniel Nachun, Matthew G. Durrant, Steven Gazal +7 more

Meta-analysis of genetic regulation of RNA editing in the human brain identifies new genes underlying neurological disease

medRxiv(2025)10.1101/2025.09.30.25337026

N/A

0.104DataRank · unranked

1 citations

Kailash BP, Aline Réal, Benjamin Müller, Beomjin Jang, Ting Fu +8 more

Alternating hemiplegia of childhood associated mutations in Atp1a3 reveal diverse neurological alterations in mice

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.12.24.630241

N/A

0DataRank · unranked

1 citations

Georgii Krivoshein, Scott I. Adamson, Elena Arystarkhova, Laura Anderson, John Szwec +16 more

SingleBrain: A Meta-Analysis of Single-Nucleus eQTLs Linking Genetic Risk to Brain Disorders

medRxiv(2025)10.1101/2025.03.06.25323424

N/A

0DataRank · unranked

11 citations

B P Kailash, Alex Tokolyi, Winston H. Cuddleston, Ashvin Ravi, Sang‐Hyuk Jung +12 more

Mosaic chromosomal alterations in blood are associated with an increased risk of Alzheimer’s disease

medRxiv(2025)10.1101/2025.05.29.25328544

N/A

0DataRank · unranked

3 citations

Kosei Hirata, Beomjin Jang, Chirag M. Lakhani, Alice Buonfiglioli, Wan‐Ping Lee +9 more

Perplexity as a Metric for Isoform Diversity in the Human Transcriptome

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.07.02.662769

N/A

0DataRank · unranked

3 citations

S H Park, Jiayu Su, Fairlie Reese, Gloria Sheynkman, David A. Knowles +1 more

Integration of Deep Learning Annotations with Functional Genomics Improves Identification of Causal Alzheimer's Disease Variants

medRxiv(2025)10.1101/2025.03.07.25323578

N/A

0DataRank · unranked

2 citations

Jui-Shan T Lin, Anjali Das, Tatsuhiko Naito, Towfique Raj, David A. Knowles +1 more

Multi-sample, multi-platform isoform quantification using empirical Bayes

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.02.08.637184

N/A

0DataRank · unranked

1 citations

Shree Thavarekere, Madison Mehlferber, Gloria M Sheynkman, David A. Knowles, Arghamitra Talukder

Deriving Mendelian Randomization–Based Causal Networks of Brain Imaging Phenotypes and Bipolar Disorder

Biological Psychiatry Cognitive Neuroscience and Neuroimaging(2025)10.1016/j.bpsc.2025.07.010

N/A

0DataRank · unranked

0 citations

Brielin C. Brown, Dara M. Cannon, Pilib Ó Broin, Nadine Parker, Dag Alnæs +8 more

Biobank-scale Bayesian TWAS reveals splicing-mediated mechanisms of complex disease

medRxiv(2025)10.1101/2025.09.19.25336165

N/A

0DataRank · unranked

0 citations

Saikat Banerjee, David A. Knowles, Alex Tokolyi

Distributional genetic effects reveal context-dependent molecular regulation in human brain aging and Alzheimer’s disease

Research Square(2025)10.21203/rs.3.rs-8219833/v1

N/A

0DataRank · unranked

0 citations

Roulan Jiang, Ruixi Li, Xuewei Cao, Zining Qi, Ru Feng +13 more

Integrative genetic analysis of the amyotrophic lateral sclerosis spinal cord implicates glial activation and suggests new risk genes

medRxiv(2021)10.1101/2021.08.31.21262682

N/A

0DataRank · unranked

3 citations

Sanan Venkatesh, Rahat Hasan, Jake T. Herb, Kátia de Paiva Lopes, Fahri Küçükali +10 more

Integrative transcriptomic analysis of the amyotrophic lateral sclerosis spinal cord implicates glial activation and suggests new risk genes

Nature Neuroscience(2022)10.1038/s41593-022-01205-3

N/A

0DataRank · unranked

141 citations

Sanan Venkatesh, Rahat Hasan, Jake T. Herb, Kátia de Paiva Lopes, Fahri Küçükali +10 more

Single-cell multi-omics defines the cell-type specific impact of splicing aberrations in human hematopoietic clonal outgrowths

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.06.08.495292

N/A

0DataRank · unranked

9 citations

Paulina Chamely, Allegra G. Hawkins, Mariela Cortés-López, Ariel D. Swett, Saravanan Ganesan +21 more

Smoother: A Unified and Modular Framework for Incorporating Structural Dependency in Spatial Omics Data

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.25.513785

N/A

0DataRank · unranked

3 citations

Jean-Baptiste Reynier, Xi Fu, Guojie Zhong, Jiahao Jiang, Rydberg Supo Escalante +6 more

Novel Computational Models of Evoked Dopamine Release In Vivo Measured by Fast Scan Cyclic Voltammetry Quantify the Regulation of Presynaptic Kinetics by Synucleins

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.05.04.490695

N/A

0DataRank · unranked

0 citations

Mahalakshmi Somayaji, Mattia Miotto, Eugene V. Mosharov, David A. Knowles, Giancarlo Ruocco +2 more

Single-cell multi-omics defines the cell-type-specific impact of splicing aberrations in human hematopoietic clonal outgrowths

Cell stem cell(2023)10.1016/j.stem.2023.07.012

N/A

0DataRank · unranked

63 citations

Paulina Chamely, Allegra G. Hawkins, Robert F. Stanley, Ariel D. Swett, Saravanan Ganesan +29 more

Multiset correlation and factor analysis enables exploration of multi-omics data

Cell Genomics(2023)10.1016/j.xgen.2023.100359

N/A

0DataRank · unranked

18 citations

Collin Wang, Silva Kasela, François Aguet, Daniel Nachun, Kent D. Taylor +20 more

Using epigenomics to understand cellular responses to environmental influences in diseases

PLoS Genetics(2023)10.1371/journal.pgen.1010567

N/A

0DataRank · unranked

12 citations

Srilakshmi M. Raj, David A. Knowles, John M. Greally, Julia Wattacheril

Cas13d-mediated isoform-specific RNA knockdown with a unified computational and experimental toolbox

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.09.12.557474

N/A

0DataRank · unranked

6 citations

Andrew Stirn, Keren Isaev, Laura C. J. Pereira, Anjali Das, Claire Harbison +5 more

DIISCO: A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.14.566956

N/A

0DataRank · unranked

1 citations

Shouvik Mani, Nicolas Beltran-Velez, Katie Maurer, Satyen H. Gohil, Shuqiang Li +5 more

A Bayesian framework for inferring dynamic intercellular interactions from time-series single-cell data

Genome Research(2024)10.1101/gr.279126.124

N/A

0DataRank · unranked

10 citations

Shouvik Mani, Nicolas Beltran-Velez, Katie Maurer, Teddy Huang, Shuqiang Li +6 more

Deriving Mendelian Randomization-based Causal Networks of Brain Imaging Phenotypes and Bipolar Disorder

medRxiv(2024)10.1101/2024.12.12.24318953

N/A

0DataRank · unranked

1 citations

Brielin C. Brown, Dara M. Cannon, Pilib Ó Broin, David A. Knowles, Nadine Parker +8 more

David A. Knowles

Indexed papers

Top data-sharing exemplar

Papers