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

Abhinav Adduri

Activated Research Company (United States)

ORCID: 0000-0002-7676-8994
Biochemistry, Genetics and Molecular BiologyMedicineComputer 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 7 papers. Top paper: Stack: In-Context Learning of Single-Cell Biology.

11 citations

Abhinav Adduri, Dhruv Gautam, Lujing Wu, Courtney Kernick, Mary Margaret Coons +12 more

N/A
0.308DataRank · unranked
6 citations

Benjamin J. Lengerich, Thomas B.K. Watkins, Jiekun Yang, Abhinav Adduri, Sazan Mahbub +4 more

N/A
0DataRank · unranked
0 citations

Benjamin J. Lengerich, Thomas B. K. Watkins, Jiekun Yang, Abhinav K Adduri, Sazan Mahbub +6 more

8 citations

Se Young Kim, Abhinav Adduri

0 citations

Andrew T. McNutt, Caleb N. Ellington, Krish Suraparaju, Nan Fang, Donghui Yan +8 more

15 citations

Muqing Zhou, Abhinav Adduri, Yihao Zhuang, Mustafa Güler, Sitong Liu +15 more

0 citations

Se Young Kim, Abhinav Adduri