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

Samuel G. Rodriques

Edison Pharmaceuticals (United States)

ORCID: 0000-0002-2509-0861

Also affiliated with Institute for the Future

Materials ScienceBiochemistry, Genetics and Molecular BiologyComputer 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
0.998Author 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 →

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.

Cosmic kidney disease: an integrated pan-omic, physiological and morphological study into spaceflight-induced renal dysfunction

Nature Communications(2024)10.1038/s41467-024-49212-1
Top 20%
0.998DataRank
Top 20%50 citations

Kevin Nestler, Charlotte A. Nelson, Viola D’Ambrosio, Chutong Zhong, Zhongwang Li +95 more

Papers

Driven by 8 papers — median percentile 80. Top paper: “HyPR-seq: Single-cell quantification of chosen RNAs via hybridization and sequencing of DNA probes”.

HyPR-seq: Single-cell quantification of chosen RNAs via hybridization and sequencing of DNA probes

Proceedings of the National Academy of Sciences(2020)10.1073/pnas.2010738117
N/A
1.6DataRank · unranked
44 citations

Benjamin R. Doughty, Vidya Subramanian, Philine Guckelberger, Qingbo S. Wang, Linlin M. Chen +13 more

Cosmic kidney disease: an integrated pan-omic, physiological and morphological study into spaceflight-induced renal dysfunction

Nature Communications(2024)10.1038/s41467-024-49212-1
Top 20%
0.998DataRank
Top 20%50 citations

Kevin Nestler, Charlotte A. Nelson, Viola D’Ambrosio, Chutong Zhong, Zhongwang Li +95 more

RNA timestamps identify the age of single molecules in RNA sequencing

Nature Biotechnology(2020)10.1038/s41587-020-0704-z
N/A
0.614DataRank · unranked
59 citations

Linlin M. Chen, Sophia Liu, Ellen D. Zhong, Joseph R. Scherrer, Edward S. Boyden +2 more

Kosmos: An AI Scientist for Autonomous Discovery

arXiv (Cornell University)(2025)10.48550/arxiv.2511.02824
N/A
0.396DataRank · unranked
13 citations

Angela Yiu, Benjamin Chang, Mathieu Bourdenx, Tyler Nadolski, Arvis Sulovari +32 more

Combinatorial protein barcodes enable self-correcting neuron tracing with nanoscale molecular context

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.09.26.678648
N/A
0DataRank · unranked
4 citations

Arlo Sheridan, Bobae An, Erin Jarvis, Julia Lyudchik, W. P. Patton +22 more

Recording the age of RNA with deamination

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.08.939983
N/A
0DataRank · unranked
3 citations

Linlin M. Chen, Sophia Liu, Ellen D. Zhong, Joseph R. Scherrer, Edward S. Boyden +2 more

14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon

Digital Discovery(2023)10.1039/d3dd00113j
N/A
0DataRank · unranked
208 citations

Qianxiang Ai, Alexander Al‐Feghali, Shruti Badhwar, Joshua D. Bocarsly, Andres M Bran +48 more

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

PubMed(2023)10.25418/crick.24297949.v1
N/A
0DataRank · unranked
29 citations

Qianxiang Ai, Alexander Al‐Feghali, Shruti Badhwar, Joshua D. Bocarsly, Andres M Bran +48 more