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

Marcin Magnus

Harvard University

ORCID: 0000-0002-5232-2234

Also affiliated with Harvard University Press

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
1.6Author DataRank

Indexed papers

2in 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 2 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.

RNA3DB: A structurally-dissimilar dataset split for training and benchmarking deep learning models for RNA structure prediction

Journal of Molecular Biology(2024)10.1016/j.jmb.2024.168552
Top 19%
1.1DataRank
Top 19%33 citations

Marcin Magnus, Siddhant Sanghi, Sachin Kadyan, Nazim Bouatta, Elena Rivas +1 more

Papers

Driven by 8 papers — median percentile 71. Top paper: “RNA3DB: A structurally-dissimilar dataset split for training and benchmarking deep learning models for RNA structure prediction”.

RNA3DB: A structurally-dissimilar dataset split for training and benchmarking deep learning models for RNA structure prediction

Journal of Molecular Biology(2024)10.1016/j.jmb.2024.168552
Top 19%
1.1DataRank
Top 19%33 citations

Marcin Magnus, Siddhant Sanghi, Sachin Kadyan, Nazim Bouatta, Elena Rivas +1 more

RNA3DB: A structurally-dissimilar dataset split for training and benchmarking deep learning models for RNA structure prediction

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.30.578025
Top 39%
0.497DataRank
Top 39%10 citations

Marcin Magnus, Siddhant Sanghi, Sachin Kadyan, Nazim Bouatta, Elena Rivas +1 more

RNA-Puzzles Round V: blind predictions of 23 RNA structures

Nature Methods(2024)10.1038/s41592-024-02543-9
N/A
0DataRank · unranked
65 citations

Yagoub Adam, Ryszard W. Adamiak, Maciej Antczak, Belisa R. H. de Aquino, Nagendar Goud Badepally +94 more

RNAhub—an automated pipeline to search and align RNA homologs with secondary structure assessment

Nucleic Acids Research(2025)10.1093/nar/gkaf342
N/A
0DataRank · unranked
6 citations

William Gao, Nivedita Dutta, Quentin Vicens, Elena Rivas, Marcin Magnus

Engaging the Community: CASP Special Interest Groups

Proteins Structure Function and Bioinformatics(2025)10.1002/prot.26833
N/A
0DataRank · unranked
5 citations

Rachael C. Kretsch, Marcin Magnus, G.T. Montelione, Arne Elofsson

RNA-Puzzles Round IV: 3D structure predictions of four ribozymes and two aptamers

RNA(2020)10.1261/rna.075341.120
N/A
0DataRank · unranked
173 citations

Ryszard W. Adamiak, Maciej Antczak, M. Boniecki, Janusz M. Bujnicki, Shi‐Jie Chen +45 more

Engaging the Community: CASP Special Interest Groups

(2025)10.22541/au.174524495.59335850/v1
N/A
0DataRank · unranked
0 citations

Rachael C. Kretsch, Marcin Magnus, G.T. Montelione, Arne Elofsson

RNA-Puzzles Round III: 3D RNA structure prediction of five riboswitches and one ribozyme

UNC Libraries(2020)10.17615/rh9e-gx23
N/A
0DataRank · unranked
5 citations

Janusz M. Bujnicki, Feng Ding, Greggory M. Rice, Wipapat Kladwang, J.J. Trausch +41 more