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

Renzhi Cao

Pacific Lutheran University

ORCID: 0000-0002-8345-343X
Biochemistry, Genetics and Molecular BiologyMaterials ScienceComputer 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 3%percentile
1.2Author 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.

Outcomes of the EMDataResource cryo-EM Ligand Modeling Challenge

Nature Methods(2024)10.1038/s41592-024-02321-7
Top 23%
0.871DataRank
Top 23%18 citations

Andriy Kryshtafovych, Grigore Pintilie, S.K. Burley, Jiri Cerny, Vincent B. Chen +76 more

Papers

Driven by 7 papers — median percentile 64. Top paper: “Outcomes of the EMDataResource cryo-EM Ligand Modeling Challenge”.

Outcomes of the EMDataResource cryo-EM Ligand Modeling Challenge

Nature Methods(2024)10.1038/s41592-024-02321-7
Top 23%
0.871DataRank
Top 23%18 citations

Andriy Kryshtafovych, Grigore Pintilie, S.K. Burley, Jiri Cerny, Vincent B. Chen +76 more

Outcomes of the 2019 EMDataResource model challenge: validation of cryo-EM models at near-atomic resolution

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.12.147033
Top 48%
0.375DataRank
Top 48%7 citations

Andriy Kryshtafovych, Paul D. Adams, Pavel V. Afonine, Matthew L. Baker, Benjamin A. Barad +49 more

Artificial Intelligence for Bioinformatics: Applications in Protein Folding Prediction

2019 IEEE Technology & Engineering Management Conference (TEMSCON)(2019)10.1109/temscon.2019.8813656
N/A
0.292DataRank · unranked
6 citations

Leong Chan, Dong Si, Kasey Johnson, Connor Whyte, Renzhi Cao +1 more

Outcomes of the EMDataResource Cryo-EM Ligand Modeling Challenge

Research Square(2024)10.21203/rs.3.rs-3864137/v1
N/A
0DataRank · unranked
2 citations

Andriy Kryshtafovych, Grigore Pintilie, S.K. Burley, Jiri Cerny, Vincent Chen +76 more

Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps

Briefings in Bioinformatics(2023)10.1093/bib/bbac632
N/A
0DataRank · unranked
28 citations

Hanze Meng, Minglei Zhao, Fengbin Wang, Jie Hou, Renzhi Cao +2 more

Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge

Nature Methods(2021)10.1038/s41592-020-01051-w
N/A
0DataRank · unranked
119 citations

Andriy Kryshtafovych, Paul D. Adams, Pavel V. Afonine, Matthew L. Baker, Benjamin A. Barad +49 more

Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps

Scientific Reports(2020)10.1038/s41598-020-60598-y
N/A
0DataRank · unranked
110 citations

Spencer A. Moritz, Jonas Pfab, Jie Hou, Renzhi Cao, Liguo Wang +3 more