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

Runyu Hong

Sun Yat-sen University

ORCID: 0000-0002-0941-351X

Also affiliated with Hunan University, Regeneron (United States), Institute for Systems Biology, Sun Yat-sen University Cancer Center, New York University

Computer ScienceBiochemistry, Genetics and Molecular BiologyMedicine

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 2%percentile

3.4Author 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.

Proteogenomic data and resources for pan-cancer analysis

Cancer Cell(2023)10.1016/j.ccell.2023.06.009

Top 6%

3.4DataRank

Top 6%241 citations

Yongchao Dou, Felipe da Veiga Leprevost, Yifat Geffen, Anna Calinawan, François Aguet +93 more

Papers

Driven by 15 papers — median percentile 94. Top paper: “Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma”.

Proteogenomic Characterization Reveals Therapeutic Vulnerabilities in Lung Adenocarcinoma

Cell(2020)10.1016/j.cell.2020.06.013

N/A

9.1DataRank · unranked

837 citations

Shankha Satpathy, Song Cao, Saravana M. Dhanasekaran, Suhas Vasaikar, Karsten Krug +95 more

Proteogenomic and metabolomic characterization of human glioblastoma

Cancer Cell(2021)10.1016/j.ccell.2021.01.006

N/A

8.7DataRank · unranked

702 citations

Alla Y. Karpova, Marina A. Gritsenko, Jennifer Kyle, Song Cao, Yize Li +95 more

Histopathologic and proteogenomic heterogeneity reveals features of clear cell renal cell carcinoma aggressiveness

Cancer Cell(2022)10.1016/j.ccell.2022.12.001

N/A

3.6DataRank · unranked

216 citations

T. Mamie Lih, Saravana M. Dhanasekaran, Rahul Mannan, Lijun Chen, Marcin Cieślik +95 more

Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation

Cell(2023)10.1016/j.cell.2023.07.013

N/A

3.5DataRank · unranked

197 citations

Shankara Anand, Yo Akiyama, Tomer M. Yaron, Yizhe Song, Jared L. Johnson +90 more

Proteogenomic data and resources for pan-cancer analysis

Cancer Cell(2023)10.1016/j.ccell.2023.06.009

Top 6%

3.4DataRank

Top 6%241 citations

Yongchao Dou, Felipe da Veiga Leprevost, Yifat Geffen, Anna Calinawan, François Aguet +93 more

Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin

Cancer Cell(2023)10.1016/j.ccell.2023.07.013

N/A

1.8DataRank · unranked

107 citations

Rita Jui-Hsien Lu, Reyka G. Jayasinghe, Steven M. Foltz, Eduard Porta‐Pardo, Yifat Geffen +95 more

Pan-cancer proteogenomics characterization of tumor immunity

Cell(2024)10.1016/j.cell.2024.01.027

N/A

1.7DataRank · unranked

91 citations

Weiping Ma, Tomer M. Yaron, Francesca Pia Caruso, Nicole Tignor, Joshua M. Wang +95 more

Deep Learning and Pathomics Analyses Reveal Cell Nuclei as Important Features for Mutation Prediction of BRAF-Mutated Melanomas

Journal of Investigative Dermatology(2021)10.1016/j.jid.2021.09.034

N/A

1.4DataRank · unranked

49 citations

Sofia Nomikou, Nicolas Coudray, George Jour, Zarmeena Dawood, Runyu Hong +15 more

Proteogenomic insights suggest druggable pathways in endometrial carcinoma

Cancer Cell(2023)10.1016/j.ccell.2023.07.007

N/A

1.2DataRank · unranked

54 citations

Lizabeth Katsnelson, Marina A. Gritsenko, Yingwei Hu, Boris Reva, Runyu Hong +95 more

Deep learning integrates histopathology and proteogenomics at a pan-cancer level

Cell Reports Medicine(2023)10.1016/j.xcrm.2023.101173

N/A

0.843DataRank · unranked

33 citations

Runyu Hong, Elizabeth G. Demicco, Jimin Tan, Rossana Lazcano, André L. Moreira +95 more

Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning models

Cell Reports Medicine(2021)10.1016/j.xcrm.2021.100400

N/A

0.744DataRank · unranked

142 citations

Wenke Liu, Deborah F. DeLair, Narges Razavian, David Fenyö, Runyu Hong

Deep Learning and Its Applications in Computational Pathology

BioMedInformatics(2022)10.3390/biomedinformatics2010010

N/A

0.396DataRank · unranked

13 citations

David Fenyö, Runyu Hong

Deep Learning and Its Applications in Computational Pathology

Preprints.org(2022)10.20944/preprints202201.0224.v1

N/A

0.165DataRank · unranked

2 citations

David Fenyö, Runyu Hong

Predicting and Visualizing STK11 Mutation in Lung Adenocarcinoma Histopathology Slides Using Deep Learning

BioMedInformatics(2021)10.3390/biomedinformatics2010006

N/A

0DataRank · unranked

7 citations

Wenke Liu, David Fenyö, Runyu Hong

Single-cell characterization of subsolid and solid lesions in the lung adenocarcinoma spectrum

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.25.424416

N/A

0DataRank · unranked

2 citations

Linh M. Tran, EPY Fung, William D. Wallace, Ashley E. Prosper, Gregory A. Fishbein +16 more