Gehan Devendra
University of Hawaiʻi at Mānoa
ORCID: 0000-0002-1978-5667Also affiliated with Queen's Medical Center
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.
Indexed papers
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.
Masaki Nasu, Gehan Devendra, Ayman Abdul-Ghani, Alba García Seco de Herrera, Jeffrey A. Borgia +13 more
Papers
Driven by 6 papers — median percentile 35. Top paper: “A robust machine learning model based on ribosomal‐subunit‐derived piRNAs for diagnostic potential of nonsmall cell lung cancer across multicentre, large‐scale of sequencing data”.
Masaki Nasu, Gehan Devendra, Ayman Abdul-Ghani, Alba García Seco de Herrera, Jeffrey A. Borgia +13 more
Shaoqiu Chen, Zhenming Tang, Ying Tang, Zhougui Ling, Hongwei Wang +7 more
Logan S. Dean, Boonyanudh Jiyarom, Louie Mar A. Gangcuangco, Parthav Shah, Thomas Awamura +7 more
Logan S. Dean, Boonyanudh Jiyarom, Vedbar S. Khadka, Youping Deng, Vivek R. Nerurukar +6 more
Logan S. Dean, Boonyanudh Jiyarom, Vedbar S. Khadka, Youping Deng, Vivek R. Nerurkar +6 more
Masaki Nasu, Gehan Devendra, Ayman Abdul-Ghani, Owen Chan, Jeffrey A. Borgia +10 more