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

Dmitry Penzar

Lomonosov Moscow State University

ORCID: 0000-0001-7960-9385

Also affiliated with Institute of Protein Research, Vavilov Institute of General Genetics, Moscow State 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 2%percentile
2.3Author 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.

Ribonanza: deep learning of RNA structure through dual crowdsourcing

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.24.581671
Top 16%
1.3DataRank
Top 16%35 citations

Rui Huang, Jill Townley, Rachael C. Kretsch, Thomas G. Karagianes, David B.T. Cox +31 more

Papers

Driven by 7 papers — median percentile 70. Top paper: “The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2”.

The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2

Nature Microbiology(2020)10.1038/s41564-020-0695-z
N/A
1.3DataRank · unranked
7716 citations

Alexander E. Gorbalenya, Susan C. Baker, Ralph S. Baric, Raoul J. de Groot, Christian Drosten +15 more

Ribonanza: deep learning of RNA structure through dual crowdsourcing

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.24.581671
Top 16%
1.3DataRank
Top 16%35 citations

Rui Huang, Jill Townley, Rachael C. Kretsch, Thomas G. Karagianes, David B.T. Cox +31 more

A community effort to optimize sequence-based deep learning models of gene regulation

Nature Biotechnology(2024)10.1038/s41587-024-02414-w
Top 30%
0.676DataRank
Top 30%35 citations

Daria Nogina, Dmitry Penzar, Dohoon Lee, Danyeong Lee, Nayeon Kim +106 more

Cross-platform motif discovery and benchmarking to explore binding specificities of poorly studied human transcription factors

Communications Biology(2025)10.1038/s42003-025-08909-9
Top 58%
0.269DataRank
Top 58%5 citations

Ivan Kozin, Sergey Abramov, Alexandr Boytsov, Arttu Jolma, Mihai Albu +46 more

Evaluation and optimization of sequence-based gene regulatory deep learning models

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.26.538471
N/A
0DataRank · unranked
9 citations

Daria Nogina, Dmitry Penzar, Dohoon Lee, Danyeong Lee, N. S. KIM +20 more

Cross-platform DNA motif discovery and benchmarking to explore binding specificities of poorly studied human transcription factors

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.11.11.619379
N/A
0DataRank · unranked
1 citations

Ivan Kozin, Sergey Abramov, Alexandr Boytsov, Arttu Jolma, Mihai Albu +29 more

Massively parallel characterization of transcriptional regulatory elements

Nature(2025)10.1038/s41586-024-08430-9
N/A
0DataRank · unranked
95 citations

Fumitaka Inoue, Max Schubach, Dmitry Penzar, Beth Martin, Pyaree Mohan Dash +12 more