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

Fang Wan

Inner Mongolia Agricultural University

ORCID: 0000-0003-1647-3278

Also affiliated with Shanghai Jiao Tong University, Inner Mongolia University, Renji Hospital, California University of Pennsylvania, University of Pennsylvania

MedicineComputer ScienceBiochemistry, 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 4%percentile
0.625Author DataRank

Indexed papers

3in 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 3 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.

A Community Challenge for Pancancer Drug Mechanism of Action Inference from Perturbational Profile Data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.21.423514
Top 32%
0.625DataRank
Top 32%20 citations

Robert J. Allaway, Bence Szalai, Wenyu Wang, Tingzhong Tian, Adrià Fernández‐Torras +23 more

Papers

Driven by 19 papers — median percentile 68. Top paper: “Crowdsourced mapping of unexplored target space of kinase inhibitors”.

Crowdsourced mapping of unexplored target space of kinase inhibitors

Nature Communications(2021)10.1038/s41467-021-23165-1
N/A
0.675DataRank · unranked
89 citations

Balaguru Ravikumar, Robert J. Allaway, Fang Wan, Sung‐Joon Park, Olexandr Isayev +94 more

Deep learning tools to accelerate antibiotic discovery

Expert Opinion on Drug Discovery(2023)10.1080/17460441.2023.2250721
N/A
0.626DataRank · unranked
64 citations

Mojtaba Bagheri, Marcelo D. T. Torres, Fang Wan, César de la Fuente‐Núñez, Angela Cesaro

A Community Challenge for Pancancer Drug Mechanism of Action Inference from Perturbational Profile Data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.21.423514
Top 32%
0.625DataRank
Top 32%20 citations

Robert J. Allaway, Bence Szalai, Wenyu Wang, Tingzhong Tian, Adrià Fernández‐Torras +23 more

Crowdsourced mapping extends the target space of kinase inhibitors

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2019.12.31.891812
N/A
0.552DataRank · unranked
11 citations

Balaguru Ravikumar, Robert J. Allaway, Sung‐Joon Park, Fang Wan, Olexandr Isayev +22 more

Risk of COVID‐19 death for people with a pre‐existing cancer diagnosis prior to COVID‐19‐vaccination: A systematic review and meta‐analysis

International Journal of Cancer(2023)10.1002/ijc.34798
N/A
0.396DataRank · unranked
13 citations

Suzanne Hughes, Harriet Hui, Matthew Allsop, Sam Egger, Michael David +57 more

Psychological Impact of Analytical Treatment Interruption on Young Women Enrolled in an HIV Cure-Related Clinical Trial in Durban, South Africa

AIDS Research and Human Retroviruses(2026)10.1177/08892229251405807
N/A
0.208DataRank · unranked
3 citations

Krista L. Dong, Maryam Hussain, Mzwakhe Wiseman Ngcobo, Ntombifuthi Langa, Ayanda Zulu +10 more

Impact of analytical treatment interruptions on sexual behaviors: a mixed-methods longitudinal study of women enrolled in an HIV cure–related trial in Durban, South Africa

HIV Research & Clinical Practice(2025)10.1080/25787489.2025.2599070
N/A
0.104DataRank · unranked
1 citations

Mzwakhe Wiseman Ngcobo, Ali Ahmed, Maryam Hussain, Ntombifuthi Langa, Ayanda Zulu +10 more

Molecular de-extinction of antibiotics enabled by deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.01.560353
N/A
0DataRank · unranked
8 citations

Marcelo D. T. Torres, Jacqueline Peng, César de la Fuente‐Núñez, Fang Wan

Machine learning for antimicrobial peptide identification and design

Nature Reviews Bioengineering(2024)10.1038/s44222-024-00152-x
N/A
0DataRank · unranked
229 citations

Felix Wong, James J. Collins, César de la Fuente‐Núñez, Fang Wan

Deep-learning-enabled antibiotic discovery through molecular de-extinction

Nature Biomedical Engineering(2024)10.1038/s41551-024-01201-x
N/A
0DataRank · unranked
163 citations

Marcelo D. T. Torres, Jacqueline Peng, César de la Fuente‐Núñez, Fang Wan

Design of multimodal antibiotics using deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.12.20.629780
N/A
0DataRank · unranked
5 citations

Fang Wan, Marcelo D. T. Torres, César de la Fuente‐Núñez, Angela Cesaro

Generative latent diffusion language modeling yields anti-infective synthetic peptides

Cell Biomaterials(2025)10.1016/j.celbio.2025.100183
N/A
0DataRank · unranked
16 citations

Tianlai Chen, Fang Wan, Pranam Chatterjee, César de la Fuente‐Núñez, Marcelo D. T. Torres

Antiviral discovery using sparse datasets by integrating experiments, molecular simulations, and machine learning

Cell Reports Physical Science(2025)10.1016/j.xcrp.2025.102554
N/A
0DataRank · unranked
2 citations

Fang Wan, Haoyuan Shi, Kaiyang Wang, C. Mark Maupin, Matt L. Barker +5 more

Generative latent diffusion language modeling yields anti-infective synthetic peptides

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.31.636003
N/A
0DataRank · unranked
10 citations

Tianlai Chen, Fang Wan, Pranam Chatterjee, César de la Fuente‐Núñez, Marcelo D. T. Torres

Improving functional protein generation via foundation model-derived latent space likelihood optimization

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.07.631724
N/A
0DataRank · unranked
2 citations

Fang Wan, Marcelo D. T. Torres, César de la Fuente‐Núñez, Changge Guan

Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization

arXiv (Cornell University)(2025)10.48550/arxiv.2501.19342
N/A
0DataRank · unranked
0 citations

Kyurae Kim, Yimeng Zeng, Haydn T. Jones, Fang Wan, Marcelo D. T. Torres +3 more

Integrative machine learning predicts activating kinase mutations for precision oncology

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.10.14.682355
N/A
0DataRank · unranked
0 citations

Fang Wan, Zhangtao Chen, Jonathan Nukpexzah, Tom Pan, Kathleen J. Stebe +3 more

A community challenge for a pancancer drug mechanism of action inference from perturbational profile data

Cell Reports Medicine(2022)10.1016/j.xcrm.2021.100492
N/A
0DataRank · unranked
69 citations

Robert J. Allaway, Bence Szalai, Wenyu Wang, Tingzhong Tian, Adrià Fernández‐Torras +23 more

Deep generative models for peptide design

Digital Discovery(2022)10.1039/d1dd00024a
N/A
0DataRank · unranked
129 citations

Daphne Kontogiorgos-Heintz, César de la Fuente‐Núñez, Fang Wan