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

Tsering Pema Lama

Johns Hopkins University

ORCID: 0000-0001-6054-4075
NursingMedicineHealth Professions

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 7%percentile
0.165Author 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.

Top 70%2 citations

Alex R. Bautista, John F. Tuddenham, Victoria Marshe, Rebecca Chiu, Yunduo Liu +36 more

Papers

Driven by 2 papers — median percentile 15. Top paper: A proteogenomic tool uncovers protein markers for human microglial states.

Top 70%2 citations

Alex R. Bautista, John F. Tuddenham, Victoria Marshe, Rebecca Chiu, Yunduo Liu +36 more

Top 100%0 citations

Parul Christian, Tsering Pema Lama, Daniel J. Erchick, Subarna K. Khatry, Steven C. LeClerq +3 more