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

Michael Zietz

Cedars-Sinai Medical Center

ORCID: 0000-0003-0539-630X

Also affiliated with ZHAW Zurich University of Applied Sciences, Columbia University Irving Medical Center, Columbia University

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 3%percentile
1.2Author DataRank

Indexed papers

7in 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 7 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.

OnSIDES (ON-label SIDE effectS resource) Database : Extracting Adverse Drug Events from Drug Labels using Natural Language Processing Models

medRxiv(2024)10.1101/2024.03.22.24304724
Top 33%
0.589DataRank
Top 33%12 citations

Hsin Yi Chen, Pietro Belloni, Undina Gisladottir, Jenna Kefeli, Jason Patterson +7 more

Papers

Driven by 23 papers — median percentile 0. Top paper: “Associations between blood type and COVID-19 infection, intubation, and death”.

Associations between blood type and COVID-19 infection, intubation, and death

Nature Communications(2020)10.1038/s41467-020-19623-x
N/A
15.6DataRank · unranked
470 citations

Jason Zucker, Nicholas P. Tatonetti, Michael Zietz

Opportunities and obstacles for deep learning in biology and medicine

bioRxiv (Cold Spring Harbor Laboratory)(2017)10.1101/142760
N/A
11.2DataRank · unranked
310 citations

Daniel S. Himmelstein, Brett K. Beaulieu‐Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way +31 more

Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions

Nature Communications(2021)10.1038/s41467-021-21361-7
N/A
6.5DataRank · unranked
190 citations

Christopher Mozsary, Cem Meydan, Jonathan Foox, Joel Rosiene, Alon Shaiber +74 more

Shotgun Transcriptome and Isothermal Profiling of SARS-CoV-2 Infection Reveals Unique Host Responses, Viral Diversification, and Drug Interactions

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.20.048066
N/A
5.1DataRank · unranked
96 citations

Christopher Mozsary, Cem Meydan, David Danko, Jonathan Foox, Joel Rosiene +47 more

Opportunities and obstacles for deep learning in biology and medicine

Journal of The Royal Society Interface(2018)10.1098/rsif.2017.0387
N/A
1.2DataRank · unranked
2203 citations

Daniel S. Himmelstein, Brett K. Beaulieu‐Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way +31 more

Testing the association between blood type and COVID-19 infection, intubation, and death

medRxiv(2020)10.1101/2020.04.08.20058073
N/A
0.836DataRank · unranked
263 citations

Jason Zucker, Nicholas P. Tatonetti, Michael Zietz

The probability of edge existence due to node degree: a baseline for network-based predictions

GigaScience(2024)10.1093/gigascience/giae001
N/A
0.792DataRank · unranked
19 citations

Daniel S. Himmelstein, Kyle Kloster, Christopher K. I. Williams, Michael W. Nagle, Casey S. Greene +1 more

OnSIDES (ON-label SIDE effectS resource) Database : Extracting Adverse Drug Events from Drug Labels using Natural Language Processing Models

medRxiv(2024)10.1101/2024.03.22.24304724
Top 33%
0.589DataRank
Top 33%12 citations

Hsin Yi Chen, Pietro Belloni, Undina Gisladottir, Jenna Kefeli, Jason Patterson +7 more

OnSIDES database: Extracting adverse drug events from drug labels using natural language processing models

Med(2025)10.1016/j.medj.2025.100642
Top 35%
0.550DataRank
Top 35%16 citations

Hsin Yi Chen, Pietro Belloni, Undina Gisladottir, Jenna Kefeli, Jason Patterson +7 more

Sequential compression of gene expression across dimensionalities and methods reveals no single best method or dimensionality

bioRxiv (Cold Spring Harbor Laboratory)(2019)10.1101/573782
N/A
0.476DataRank · unranked
9 citations

Michael Zietz, Vincent Rubinetti, Daniel S. Himmelstein, Casey S. Greene, Gregory P. Way

The probability of edge existence due to node degree: a baseline for network-based predictions

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.05.522939
N/A
0.365DataRank · unranked
5 citations

Daniel S. Himmelstein, Kyle Kloster, Christopher K. I. Williams, Michael W. Nagle, Casey S. Greene +1 more

Estimating the heritability of SARS-CoV-2 susceptibility and COVID-19 severity

Nature Communications(2024)10.1038/s41467-023-44250-7
N/A
0.360DataRank · unranked
10 citations

Vijendra Ramlall, Michael Zietz, Undina Gisladottir, Nicholas P. Tatonetti, Kathleen LaRow Brown

Hetnet connectivity search provides rapid insights into how biomedical entities are related

GigaScience(2022)10.1093/gigascience/giad047
N/A
0.292DataRank · unranked
6 citations

Michael Zietz, Vincent Rubinetti, Kyle Kloster, Benjamin J. Heil, Faisal Alquaddoomi +7 more

Node connectivity measurements for Hetionet v1.0 metapaths

Zenodo (CERN European Organization for Nuclear Research)(2018)10.5281/zenodo.1435833
Top 78%
0.104DataRank
Top 78%1 citations

Michael Zietz, Kyle Kloster, Michael W. Nagle, Blair D. Sullivan, Casey S. Greene +1 more

Additional file 6 of Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations

Figshare(2020)10.6084/m9.figshare.12285518
Top 100%
0DataRank
Top 100%0 citations

Michael Zietz, Vincent Rubinetti, Daniel S. Himmelstein, Casey S. Greene, Gregory P. Way

Additional file 3 of Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations

(2020)10.6084/m9.figshare.12285506
N/A
0DataRank · unranked
0 citations

Michael Zietz, Vincent Rubinetti, Daniel S. Himmelstein, Casey S. Greene, Gregory P. Way

Hetnet connectivity search provides rapid insights into how two biomedical entities are related

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.05.522941
N/A
0DataRank · unranked
0 citations

Michael Zietz, Vincent Rubinetti, Kyle Kloster, Benjamin J. Heil, Faisal Alquaddoomi +7 more

WebGWAS: A web server for instant GWAS on arbitrary phenotypes

medRxiv(2024)10.1101/2024.12.11.24318870
N/A
0DataRank · unranked
0 citations

Undina Gisladottir, Kathleen LaRow Brown, Nicholas P. Tatonetti, Michael Zietz

Node connectivity measurements for Hetionet v1.0 metapaths

Zenodo (CERN European Organization for Nuclear Research)(2018)10.5281/zenodo.1435834
Top 100%
0DataRank
Top 100%0 citations

Michael Zietz, Kyle Kloster, Michael W. Nagle, Blair D. Sullivan, Casey S. Greene +1 more

greenelab/BioBombe: Accepted Manuscript - Genome Biology

Zenodo (CERN European Organization for Nuclear Research)(2020)10.5281/zenodo.3744941
Top 100%
0DataRank
Top 100%0 citations

Michael Zietz, Vincent Rubinetti, Daniel S. Himmelstein, Casey S. Greene, Gregory P. Way

Additional file 4 of Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations

Figshare(2020)10.6084/m9.figshare.12285512
N/A
0DataRank · unranked
0 citations

Michael Zietz, Vincent Rubinetti, Daniel S. Himmelstein, Casey S. Greene, Gregory P. Way

Node connectivity measurements for Hetionet v1.0 metapaths

Zenodo (CERN European Organization for Nuclear Research)(2018)10.5281/zenodo.3978766
Top 100%
0DataRank
Top 100%0 citations

Michael Zietz, Kyle Kloster, Michael W. Nagle, Blair D. Sullivan, Casey S. Greene +1 more

Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations

Genome biology(2020)10.1186/s13059-020-02021-3
N/A
0DataRank · unranked
84 citations

Michael Zietz, Vincent Rubinetti, Daniel S. Himmelstein, Casey S. Greene, Gregory P. Way