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

Pengyu Ni

Yale University

ORCID: 0000-0001-9878-5480
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
10.2Author DataRank

Indexed papers

6in 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 6 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.

GENCODE: reference annotation for the human and mouse genomes in 2023

Nucleic Acids Research(2022)10.1093/nar/gkac1071
Top 4%
5.1DataRank
Top 4%663 citations

Sílvia Carbonell Sala, Mark Diekhans, Irwin Jungreis, Jane E Loveland, Jonathan M. Mudge +57 more

Papers

Driven by 14 papers — median percentile 72. Top paper: “GENCODE: reference annotation for the human and mouse genomes in 2023”.

GENCODE: reference annotation for the human and mouse genomes in 2023

Nucleic Acids Research(2022)10.1093/nar/gkac1071
Top 4%
5.1DataRank
Top 4%663 citations

Sílvia Carbonell Sala, Mark Diekhans, Irwin Jungreis, Jane E Loveland, Jonathan M. Mudge +57 more

GENCODE 2025: reference gene annotation for human and mouse

Nucleic Acids Research(2024)10.1093/nar/gkae1078
Top 8%
2.7DataRank
Top 8%348 citations

Sílvia Carbonell Sala, Mark Diekhans, Jose Gonzalez Martinez, Toby Hunt, Irwin Jungreis +51 more

Single-cell genomics and regulatory networks for 388 human brains

Science(2024)10.1126/science.adi5199
Top 12%
1.7DataRank
Top 12%155 citations

Jason Liu, Declan Clarke, Matthew Jensen, Jonathan Warrell, Chirag Gupta +91 more

Single-cell multi-cohort dissection of the schizophrenia transcriptome

Science(2024)10.1126/science.adg5136
N/A
1.3DataRank · unranked
125 citations

Shahin Mohammadi, José Dávila-Velderrain, Sivan Subburaju, Daniel Reed Tso, Makayla Hourihan +196 more

Massively parallel characterization of regulatory elements in the developing human cortex

Science(2024)10.1126/science.adh0559
N/A
1.2DataRank · unranked
61 citations

Sean Whalen, Marilyn Steyert, Ryan Ziffra, Pawel F. Przytycki, Fumitaka Inoue +197 more

Single-cell genomics and regulatory networks for 388 human brains

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.18.585576
Top 44%
0.419DataRank
Top 44%9 citations

Jason J. Liu, Declan Clarke, Matthew L. Jensen, Jonathan Warrell, Chirag Gupta +75 more

An expanded reference catalog of translated open reading frames for biomedical research

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.07.03.662928
Top 53%
0.319DataRank
Top 53%7 citations

Jorge Ruiz-Orera, Jack A. S. Tierney, Jim Clauwaert, Eric W. Deutsch, M. Mar Albà +41 more

Transcriptional determinism and stochasticity contribute to the complexity of autism-associated SHANK family genes

Cell Reports(2024)10.1016/j.celrep.2024.114376
N/A
0.292DataRank · unranked
6 citations

Pengyu Ni, Paola Suarez-Meade, Yu Ma, Emily Niemitz Forrest, Guilin Wang +7 more

An expanded reference catalog of translated open reading frames for biomedical research

Nucleic Acids Research(2026)10.1093/nar/gkag234
Top 59%
0.269DataRank
Top 59%5 citations

Jorge Ruiz-Orera, Jack A S Tierney, Michal I Swirski, Hakon Tjeldnes, Leron W Kok +43 more

Machine Learning Models Based on Histological Images from Healthy Donors Identify ImageQTLs and Predict Chronological Age

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.04.674328
N/A
0.104DataRank · unranked
1 citations

William Zhu, Christopher J. F. Cameron, Pengyu Ni, Xiao Zhou, Tselmeg Ulammandakh +2 more

Less-is-more: selecting transcription factor binding regions informative for motif inference

Nucleic Acids Research(2024)10.1093/nar/gkad1240
N/A
0DataRank · unranked
7 citations

Jiahao Gao, Pengyu Ni, Mark Gerstein, Jinrui Xu

Transcriptional Determinism and Stochasticity Contribute to the Complexity of Autism Associated SHANK Family Genes

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.18.585480
N/A
0DataRank · unranked
2 citations

Pengyu Ni, Paola Suárez-Meade, Yu Ma, Emily Forrest, Guilin Wang +5 more

Machine-learning models based on histological images from healthy donors identify imageQTLs and predict chronological age

Proceedings of the National Academy of Sciences(2025)10.1073/pnas.2423469122
N/A
0DataRank · unranked
1 citations

William Zhu, Christopher J. F. Cameron, Pengyu Ni, Xiao Zhou, Tselmeg Ulammandakh +2 more

Prevalent uses and evolution of exonic regulatory sequences in the human genome

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.09.06.459186
N/A
0DataRank · unranked
1 citations

Pengyu Ni, Meng Niu, Jun-tao Guo, Zhengsheng Su, Jing Chen