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

Vikas Pejaver

Mount Sinai Health System

ORCID: 0000-0002-1943-0284

Also affiliated with Icahn School of Medicine at Mount Sinai

MedicineBiochemistry, 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 5%percentile
0.487Author DataRank

Indexed papers

4in 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 4 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.

The IGVF catalog—from genetic variation to function

Nucleic Acids Research(2025)10.1093/nar/gkaf1341
Top 63%
0.219DataRank
Top 63%3 citations

Shane Liu, Pedro Assis, Mingjie Li, Shengcheng Dong, Ian Whaling +42 more

Papers

Driven by 26 papers — median percentile 26. Top paper: “Deciphering the impact of genomic variation on function”.

Deciphering the impact of genomic variation on function

Nature(2024)10.1038/s41586-024-07510-0
N/A
1.1DataRank · unranked
89 citations

Jesse M. Engreitz, Heather A. Lawson, Harinder Singh, Lea M. Starita, Gary C. Hon +95 more

Inferring the molecular and phenotypic impact of amino acid variants with MutPred2

Nature Communications(2020)10.1038/s41467-020-19669-x
N/A
1.0DataRank · unranked
830 citations

Jorge Urresti, Jose Lugo-Martinez, Kymberleigh A. Pagel, Guan Ning Lin, Hyun‐Jun Nam +7 more

Target site specificity and in vivo complexity of the mammalian arginylome

Scientific Reports(2018)10.1038/s41598-018-34639-6
N/A
0.944DataRank · unranked
30 citations

Vikas Rao Pejaver, Geoffrey P. Dann, Max Y. Wolf, Sharon L. R. Kardia, Yun Huang +5 more

Assessment of the evidence yield for the calibrated PP3/BP4 computational recommendations

Genetics in Medicine(2024)10.1016/j.gim.2024.101213
N/A
0.434DataRank · unranked
17 citations

Vikas Pejaver, Timothy Bergquist, Leslie G. Biesecker, Alicia B. Byrne, Emily A.W. Nadeau +21 more

Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data

BMC Medical Informatics and Decision Making(2023)10.1186/s12911-022-02096-x
N/A
0.425DataRank · unranked
16 citations

Pradeep Suri, Vikas Pejaver, Janna Friedly, Laura S. Gold, Eric N. Meier +5 more

Piloting a model-to-data approach to enable predictive analytics in health care through patient mortality prediction

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa083
N/A
0.416DataRank · unranked
15 citations

Yao Yan, Thomas Schaffter, Thomas Yu, Vikas Pejaver, Noah Hammarlund +4 more

The IGVF catalog—from genetic variation to function

Nucleic Acids Research(2025)10.1093/nar/gkaf1341
Top 63%
0.219DataRank
Top 63%3 citations

Shane Liu, Pedro Assis, Mingjie Li, Shengcheng Dong, Ian Whaling +42 more

CAGI6 ID panel challenge: assessment of phenotype and variant predictions in 415 children with neurodevelopmental disorders (NDDs)

Human Genetics(2025)10.1007/s00439-024-02722-w
Top 70%
0.165DataRank
Top 70%2 citations

Alessio Del Conte, Shaowen Zhu, Wuwei Tan, Yang Shen, Yexian Zhang +24 more

Evaluating predictors of kinase activity of STK11 variants identified in primary human non-small cell lung cancers

Human Genetics(2025)10.1007/s00439-025-02726-0
Top 78%
0.104DataRank
Top 78%1 citations

Kyoungyeul Lee, Junwoo Woo, Dong Wook Kim, Changwon Keum, Giulia Babbi +18 more

Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine

Journal of the American Medical Informatics Association(2023)10.1093/jamia/ocad159
N/A
0DataRank · unranked
8 citations

Thomas Schaffter, Yao Yan, Thomas Yu, Justin Prosser, Jifan Gao +62 more

CAGI6 ID-Challenge: Assessment of phenotype and variant predictions in 415 children with Neurodevelopmental Disorders (NDDs)

Research Square(2023)10.21203/rs.3.rs-3209168/v1
N/A
0DataRank · unranked
0 citations

Alessio Del Conte, Shaowen Zhu, Wuwei Tan, Yang Shen, Yexian Zhang +24 more

Calibration of additional computational tools expands ClinGen recommendation options for variant classification with PP3/BP4 criteria

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.09.17.611902
N/A
0DataRank · unranked
13 citations

Sarah L. Stenton, Emily A.W. Nadeau, Alicia B. Byrne, Marc S. Greenblatt, Steven M. Harrison +8 more

Calibration of additional computational tools expands ClinGen recommendation options for variant classification with PP3/BP4 criteria

Genetics in Medicine(2025)10.1016/j.gim.2025.101402
N/A
0DataRank · unranked
45 citations

Sarah L. Stenton, Emily A.W. Nadeau, Alicia B. Byrne, Marc S. Greenblatt, Steven M. Harrison +20 more

Critical assessment of missense variant effect predictors on disease-relevant variant data

Human Genetics(2025)10.1007/s00439-025-02732-2
N/A
0DataRank · unranked
21 citations

Ryan Chung, Sindy Li, Chang Li, Kyoungyeul Lee, Junwoo Woo +31 more

Extracting and calibrating evidence of variant pathogenicity from population biobank data

The American Journal of Human Genetics(2025)10.1016/j.ajhg.2025.06.012
N/A
0DataRank · unranked
9 citations

Tian Yu, Lara Brown, Vikas Pejaver, Matthew S. Lebo, Steven M. Harrison +2 more

Gene-based calibration of high-throughput functional assays for clinical variant classification

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.29.651326
N/A
0DataRank · unranked
6 citations

Ross Stewart, Shantanu Jain, Malvika Tejura, Abbye E. McEwen, Shawn Fayer +9 more

A Scalable Framework to Integrate Social Determinants of Health into Disease Risk Models using Biobank Survey Data

medRxiv(2025)10.1101/2025.09.29.25336903
N/A
0DataRank · unranked
0 citations

Abhijith Biji, Kathleen D.M. Ferar, Vikas Pejaver, Eimear E. Kenny, Bian Liu +2 more

Drivers of Diagnostic Delay in Mitochondrial Disease: Missed Recognition of Canonical Features

medRxiv(2025)10.1101/2025.10.09.25337582
N/A
0DataRank · unranked
0 citations

Neil Jacob, Mohammad Ghouse Syed, Janhawi Kelkar, Colleen Donnelly, Ibrahim Elsharkawi +6 more

Evaluation of the secondary use of electronic health records to detect seasonal, holiday-related, and rare events related to traumatic injury and poisoning

BMC Public Health(2020)10.1186/s12889-020-8153-7
N/A
0DataRank · unranked
5 citations

Vikas Pejaver, Noah Hammarlund, Sean D. Mooney, Stephen J. Mooney, Timothy Bergquist

REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants

UNC Libraries(2020)10.17615/gd7n-3n77
Top 100%
0DataRank
Top 100%0 citations

Olivier Cussenot, Diptasri Mandal, Nilah M. Ioannidis, Graham G. Giles, Shannon K. McDonnell +36 more

A Comparison of Natural Language Processing Methods for the Classification of Lumbar Spine Imaging Findings Related to Lower Back Pain

Academic Radiology(2021)10.1016/j.acra.2021.09.005
N/A
0DataRank · unranked
10 citations

Vikas Pejaver, Trevor Cohen, Sean D. Mooney, Patrick J. Heagerty, Jeffrey G. Jarvik +1 more

Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria

The American Journal of Human Genetics(2022)10.1016/j.ajhg.2022.10.013
N/A
0DataRank · unranked
548 citations

Alicia B. Byrne, Bing Feng, Kymberleigh A. Pagel, Sean D. Mooney, Rachel Karchin +20 more

Recommended practices and ethical considerations for natural language processing‐assisted observational research: A scoping review

Clinical and Translational Science(2022)10.1111/cts.13463
N/A
0DataRank · unranked
26 citations

Liwei Wang, Sungrim Moon, Nansu Zong, Huan He, Vikas Pejaver +6 more

Evidence-based calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for clinical use of PP3/BP4 criteria

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.03.17.484479
N/A
0DataRank · unranked
34 citations

Alicia B. Byrne, Bing Feng, Kymberleigh A. Pagel, Sean D. Mooney, Rachel Karchin +9 more

Multi-objective prioritization of genes for high-throughput functional assays towards improved clinical variant classification

PubMed(2022)10.1142/9789811270611_0030
N/A
0DataRank · unranked
3 citations

Shantanu Jain, Daniel Zeiberg, Lilia M. Iakoucheva, Sean D. Mooney, PREDRAG RADIVOJAC +2 more

Association of HSD17B13 and PNPLA3 With Liver Enzymes and Fibrosis in Hispanic/Latino Individuals of Diverse Genetic Ancestries

Clinical Gastroenterology and Hepatology(2023)10.1016/j.cgh.2022.12.025
N/A
0DataRank · unranked
20 citations

Emily R. Soper, Ning Ma, Vikas Pejaver, Scott L. Friedman, Andrea D. Branch +4 more