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

Megha Sheth

Physiotherapy New Zealand

ORCID: 0000-0002-5090-8522
MedicinePsychology

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 →

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 100%0 citations

Megha Sheth, Kazunari Sasaki, Jeremy Yu, Sean C. Wightman, Scott M. Atay +3 more

Papers

Driven by 2 papers — median percentile 0. Top paper: Early outcomes of lung transplantation with lung allografts from coronavirus disease 2019 (COVID-19)–positive donors.

6 citations

Takashi Harano, Jack Rodman, Megha Sheth, Sean C. Wightman, Scott M. Atay +2 more

Top 100%0 citations

Megha Sheth, Kazunari Sasaki, Jeremy Yu, Sean C. Wightman, Scott M. Atay +3 more