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

Feng Pan

Physical Devices (United States)

ORCID: 0000-0002-0814-1364

Also affiliated with Insilicos (United States)

Biochemistry, Genetics and Molecular BiologyNeuroscience

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 4%percentile
0.899Author DataRank

Indexed papers

1in 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 1 indexed paper 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.

A comprehensive large-scale biomedical knowledge graph for AI-powered data-driven biomedical research

Nature Machine Intelligence(2025)10.1038/s42256-025-01014-w
Top 22%
0.899DataRank
Top 22%30 citations

Xin Sui, Feng Pan, Kaixian Yu, Keqiao Li, Shubo Tian +15 more

Papers

Driven by 10 papers — median percentile 78. Top paper: “A comprehensive large-scale biomedical knowledge graph for AI-powered data-driven biomedical research”.

A comprehensive large-scale biomedical knowledge graph for AI-powered data-driven biomedical research

Nature Machine Intelligence(2025)10.1038/s42256-025-01014-w
Top 22%
0.899DataRank
Top 22%30 citations

Xin Sui, Feng Pan, Kaixian Yu, Keqiao Li, Shubo Tian +15 more

Atypical structures of GAA/TTC trinucleotide repeats underlying Friedreich’s ataxia: DNA triplexes and RNA/DNA hybrids

Nucleic Acids Research(2020)10.1093/nar/gkaa665
N/A
0DataRank · unranked
39 citations

Ashkan Fakharzadeh, Feng Pan, Christopher Roland, Celeste Sagui, Jiahui Zhang

Molecular conformations and dynamics of nucleotide repeats associated with neurodegenerative diseases: double helices and CAG hairpin loops

Computational and Structural Biotechnology Journal(2021)10.1016/j.csbj.2021.04.037
N/A
0DataRank · unranked
19 citations

Yuan Zhang, Pengning Xu, Viet Hoang Man, Christopher Roland, Keith Weninger +2 more

Applications of AlphaFold beyond Protein Structure Prediction

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.03.467194
N/A
0DataRank · unranked
25 citations

Peizhao Li, Feng Pan, Hongfu Liu, Pengyu Hong, Xiuwen Liu +2 more

Protein loop modeling and refinement using deep learning models

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.03.467148
N/A
0DataRank · unranked
3 citations

Yuan Zhang, Chun‐Chao Lo, Arunima Mandal, Xiuwen Liu, Jinfeng Zhang +1 more

Dynamics of strand slippage in DNA hairpins formed by CAG repeats: roles of sequence parity and trinucleotide interrupts

Nucleic Acids Research(2020)10.1093/nar/gkaa036
N/A
0DataRank · unranked
62 citations

Feng Pan, Christopher Roland, Celeste Sagui, Keith Weninger, Pengning Xu

AmberTools

Journal of Chemical Information and Modeling(2023)10.1021/acs.jcim.3c01153
N/A
0DataRank · unranked
1916 citations

Hasan Metin Aktulga, Kellon Belfon, David S. Cerutti, G. Andrés Cisneros, Vinícius Wilian D. Cruzeiro +42 more

Frustration Between Preferred States of Complementary Trinucleotide Repeat DNA Hairpins Anticorrelates with Expansion Disease Propensity

Journal of Molecular Biology(2023)10.1016/j.jmb.2023.168086
N/A
0DataRank · unranked
12 citations

Jiahui Zhang, Feng Pan, Chelsea Mahn, Christopher Roland, Celeste Sagui +2 more

A comprehensive large scale biomedical knowledge graph for AI powered data driven biomedical research

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.13.562216
N/A
0DataRank · unranked
11 citations

Xin Sui, Feng Pan, Kaixian Yu, Keqiao Li, Shubo Tian +15 more

A reinforcement learning approach for protein–ligand binding pose prediction

BMC Bioinformatics(2022)10.1186/s12859-022-04912-7
N/A
0DataRank · unranked
24 citations

Yang Chen, Yuan Zhang, Keqiao Li, Menghan Lin, Feng Pan +3 more