🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Eran Halperin

University of California, Los Angeles

ORCID: 0000-0002-2373-3691

Also affiliated with Santa Clara University, American Jewish University, Optum (United States), Precision Research (United States)

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 6%percentile
0.342Author 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 →

Top data-sharing exemplar

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

Remote blood collection from older adults in the Brain Health Registry for plasma biomarker and genetic analysis

Alzheimer s & Dementia(2022)10.1002/alz.12617
Top 51%
0.342DataRank
Top 51%6 citations

Miriam T. Ashford, Joseph Eichenbaum, Taylor Howell, Aniekan Ekanem, Derek Flenniken +9 more

Papers

Driven by 27 papers — median percentile 49. Top paper: “The causal effect of obesity on prediabetes and insulin resistance reveals the important role of adipose tissue in insulin resistance”.

The causal effect of obesity on prediabetes and insulin resistance reveals the important role of adipose tissue in insulin resistance

PLoS Genetics(2020)10.1371/journal.pgen.1009018
N/A
2.0DataRank · unranked
71 citations

Marcus Alvarez, Arthur Ko, Yash Bhagat, Elior Rahmani, Brandon Jew +11 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

Compositional Lotka-Volterra describes microbial dynamics in the simplex

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007917
N/A
0.648DataRank · unranked
74 citations

Liat Shenhav, João B. Xavier, Eran Halperin, Itsik Pe’er, Tyler Joseph

Imputation of the continuous arterial line blood pressure waveform from non-invasive measurements using deep learning

Scientific Reports(2021)10.1038/s41598-021-94913-y
N/A
0.641DataRank · unranked
71 citations

Nadav Rakocz, Ákos Rudas, Jeffrey N. Chiang, Sidong Wang, Ira Hofer +3 more

Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis

Nature Communications(2020)10.1038/s41467-020-19365-w
N/A
0.635DataRank · unranked
68 citations

Tommer Schwarz, Arunabha Majumdar, Kangcheng Hou, Leah Briscoe, Richard K. Perez +7 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

Multi-context genetic modeling of transcriptional regulation resolves novel disease loci

Nature Communications(2022)10.1038/s41467-022-33212-0
N/A
0.524DataRank · unranked
32 citations

Mary Grace Gordon, Andrew Lu, Anchit Tandon, Eran Halperin, Alexander Gusev +4 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

BATMAN: Fast and Accurate Integration of Single-Cell RNA-Seq Datasets via Minimum-Weight Matching

iScience(2020)10.1016/j.isci.2020.101185
N/A
0.360DataRank · unranked
10 citations

Brian L. Hill, Malika Freund, Michael Thompson, Eran Halperin, Igor Mandric

Association of a Variant in VWA3A with Response to Anti-Vascular Endothelial Growth Factor Treatment in Neovascular AMD

Investigative Ophthalmology & Visual Science(2020)10.1167/iovs.61.2.48
N/A
0.360DataRank · unranked
10 citations

Gala Beykin, Elior Rahmani, Regev Schweiger, Gal Barel, Shira Hagbi-Levi +7 more

Remote blood collection from older adults in the Brain Health Registry for plasma biomarker and genetic analysis

Alzheimer s & Dementia(2022)10.1002/alz.12617
Top 51%
0.342DataRank
Top 51%6 citations

Miriam T. Ashford, Joseph Eichenbaum, Taylor Howell, Aniekan Ekanem, Derek Flenniken +9 more

The Effect of Model Directionality on Cell-Type-Specific Differential DNA Methylation Analysis

Frontiers in Bioinformatics(2022)10.3389/fbinf.2021.792605
N/A
0.208DataRank · unranked
3 citations

Brandon Jew, Eran Halperin, Elior Rahmani

Integrated ambient modeling and genetic demultiplexing of single-cell RNA+ATAC multiome experiments with Ambimux

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.08.21.671671
N/A
0DataRank · unranked
0 citations

Terence Li, Seung Hyuk Lee, Uma Thanigai Arasu, Ilakya Selvarajan, Tiit Örd +13 more

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

Enhancing droplet-based single-nucleus RNA-seq resolution using the semi-supervised machine learning classifier DIEM

Scientific Reports(2020)10.1038/s41598-020-67513-5
N/A
0DataRank · unranked
106 citations

Elior Rahmani, Brandon Jew, Kristina M. Garske, Zong Miao, Jihane N. Benhammou +6 more

A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity

PLoS ONE(2020)10.1371/journal.pone.0239474
N/A
0DataRank · unranked
71 citations

Ákos Rudas, Jeffrey N. Chiang, Paul C. Adamson, Joseph E. Ebinger, Nancy Sun +15 more

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

Pre-existing conditions in Hispanics/Latinxs that are COVID-19 risk factors

iScience(2021)10.1016/j.isci.2021.102188
N/A
0DataRank · unranked
19 citations

Yi Ding, Malika Freund, Ruth Johnson, Tommer Schwarz, Julie M. Yabu +34 more

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

Accurate estimation of cell composition in bulk expression through robust integration of single-cell information

Nature Communications(2020)10.1038/s41467-020-15816-6
N/A
0DataRank · unranked
459 citations

Marcus Alvarez, Elior Rahmani, Zong Miao, Arthur Ko, Kristina M. Garske +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

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

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

Genome-wide association study and genomic risk prediction of age-related macular degeneration in Israel

medRxiv(2023)10.1101/2023.09.06.23295126
N/A
0DataRank · unranked
0 citations

Daria Triffon, Gala Beykin, Elior Rahmani, Regev Schweiger, Liran Tiosano +10 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/v2
N/A
0DataRank · unranked
0 citations

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

Genome wide association study and genomic risk prediction of age related macular degeneration in Israel

Scientific Reports(2024)10.1038/s41598-024-63065-0
N/A
0DataRank · unranked
9 citations

Daria Triffon, Gala Beykin, Elior Rahmani, Regev Schweiger, Liran Tiosano +10 more