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

Amitesh Badkul

The Graduate Center, CUNY

ORCID: 0009-0000-9207-1954

Also affiliated with City University of New York

Computer ScienceBiochemistry, Genetics and Molecular BiologyMaterials 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 100%percentile
0Author 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 →

Papers

Driven by 2 papers. Top paper: “End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins”.

End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins

PLOS Computational Biology(2023)10.1371/journal.pcbi.1010851
N/A
0.793DataRank · unranked
21 citations

Li Xie, Shuo Zhang, Muge Chen, Di He, Amitesh Badkul +8 more

Can AI Conduct Autonomous Scientific Research? Case Studies on Two Real-World Tasks

10.64898/2026.01.05.697809
N/A
0.165DataRank · unranked
2 citations

Harsh B. Anadkat, Kiran K. Athimoolam, Harsh Bhardwaj, Trishul Chowdhury, Shengtao Gao +7 more