Thomas Yu

Also affiliated with Central South University, Chinese Academy of Medical Sciences & Peking Union Medical College, Hunan Cancer Hospital, Mayo Clinic in Florida, Siemens Healthcare (United States), Siemens (Switzerland), École Polytechnique Fédérale de Lausanne, University of South China, University of Lausanne

MedicineBiochemistry, Genetics and Molecular BiologyComputer Science

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

5.0Author 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 →

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

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Nature Communications(2019)10.1038/s41467-019-09799-2

Top 4%

5.0DataRank

Top 4%368 citations

Dennis Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan +426 more

Papers

Driven by 23 papers — median percentile 96. Top paper: “Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen”.

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Nature Communications(2019)10.1038/s41467-019-09799-2

Top 4%

5.0DataRank

Top 4%368 citations

Dennis Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan +426 more

Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth

Cell Reports Medicine(2021)10.1016/j.xcrm.2021.100323

N/A

2.3DataRank · unranked

110 citations

Bálint Pataki, Roberto Romero, Marina Sirota, Yuanfang Guan, Rintu Kutum +13 more

Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics

Cell Systems(2020)10.1016/j.cels.2020.06.013

N/A

1.1DataRank · unranked

32 citations

Francesca Petralia, Zhi Li, Hongyang Li, Weiping Ma, Xiaoyu Song +87 more

Community assessment of methods to deconvolve cellular composition from bulk gene expression

Nature Communications(2024)10.1038/s41467-024-50618-0

N/A

0.867DataRank · unranked

34 citations

Aurélien de Reyniès, Aaron M. Newman, Joshua J. Waterfall, Andrew Lamb, Florent Petitprez +63 more

Tractography dissection variability: what happens when 42 groups dissect 14 white matter bundles on the same dataset?

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.10.07.321083

N/A

0DataRank · unranked

24 citations

François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang‐Cheng Yeh +95 more

Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.05.130971

N/A

0DataRank · unranked

12 citations

Bálint Pataki, Roberto Romero, Marina Sirota, Yuanfang Guan, Rintu Kutum +13 more

Inference of sexual selection from pairwise contests

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.25.964973

N/A

0DataRank · unranked

0 citations

Andrew G. Clark, Thomas Yu

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

NeuroImage(2021)10.1016/j.neuroimage.2021.118502

N/A

0DataRank · unranked

188 citations

François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang‐Cheng Yeh +95 more

A community challenge to evaluate RNA-seq, fusion detection, and isoform quantification methods for cancer discovery

Cell Systems(2021)10.1016/j.cels.2021.05.021

N/A

0DataRank · unranked

42 citations

David Haan, Kristen D. Dang, Kami Chiotti, Matthew Inkman, Andrew Lamb +32 more

Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd

Molecular Systems Biology(2021)10.15252/msb.202110402

N/A

0DataRank · unranked

14 citations

Marco Tognetti, Alice Driessen, Jovan Tanevski, Baosen Guo, Wencai Cao +90 more

A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis

medRxiv(2021)10.1101/2021.10.25.21265495

N/A

0DataRank · unranked

6 citations

Thanh Nguyen, Robert J. Allaway, Jelai Wang, Verena Chung, Thomas Yu +17 more

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

medRxiv(2021)10.1101/2021.01.18.21250072

N/A

0DataRank · unranked

5 citations

Thomas Schaffter, Yao Yan, Thomas Yu, Justin Prosser, Jifan Gao +16 more

Cell-to-cell and type-to-type heterogeneity of signaling networks: Insights from the crowd

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.23.436603

N/A

0DataRank · unranked

3 citations

Marco Tognetti, Alice Driessen, Jovan Tanevski, Baosen Guo, Wencai Cao +6 more

Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI

NeuroImage(2022)10.1016/j.neuroimage.2022.119327

N/A

0DataRank · unranked

47 citations

Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka +46 more

A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis

JAMA Network Open(2022)10.1001/jamanetworkopen.2022.27423

N/A

0DataRank · unranked

25 citations

Thanh Minh Nguyen, Robert J. Allaway, Jelai Wang, Verena Chung, Thomas Yu +43 more

Community assessment of methods to deconvolve cellular composition from bulk gene expression

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.06.03.494221

N/A

0DataRank · unranked

11 citations

Aurélien de Reyniès, Aaron M. Newman, Joshua J. Waterfall, Andrew Lamb, Florent Petitprez +35 more

A Community Challenge to Predict Clinical Outcomes After Immune Checkpoint Blockade in Non-Small Cell Lung Cancer

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.12.05.518667

N/A

0DataRank · unranked

6 citations

Óscar Lapuente-Santana, Anni S. Halkola, Wenyu Wang, Raghvendra Mall, Xu Xiao +40 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

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)

arXiv (Cornell University)(2023)10.48550/arxiv.2305.09011

N/A

0DataRank · unranked

12 citations

Gian Marco Conte, Hu, Qingqiao, Syed Muhammad Anwar, Florian Kofler, Ivan Ezhov +60 more

Collaborating across sectors in service of open science, precision oncology, and patients: an overview of the AACR Project GENIE (Genomics Evidence Neoplasia Information Exchange) Biopharma Collaborative (BPC)

ESMO Real World Data and Digital Oncology(2025)10.1016/j.esmorw.2024.100097

N/A

0DataRank · unranked

4 citations

Philippe L. Bédard, Samantha Brown, Evelina Ceca, Michael V. Fiandalo, Hannah E. Fuchs +29 more

Key Parameters of Tumor Epitope Immunogenicity Revealed Through a Consortium Approach Improve Neoantigen Prediction

Cell(2020)10.1016/j.cell.2020.09.015

N/A

0DataRank · unranked

541 citations

Marit M. van Buuren, Kristen K. Dang, Vanessa M. Hubbard-Lucey, Kathleen C. F. Sheehan, Katie M. Campbell +95 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

0DataRank · unranked

15 citations

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

Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

Life Science Alliance(2020)10.26508/lsa.202000867

N/A

0DataRank · unranked

25 citations

Thin Nguyen, Buu Truong, Nikos Karaiskos, Mehmet Eren Ahsen, Xinyu Zhang +33 more

Thomas Yu

Indexed papers

Top data-sharing exemplar

Papers