Nikhil Joshi
ORCID: 0000-0003-4592-1025Also affiliated with University Hospitals Bristol NHS Foundation Trust, Data Archiving and Networked Services (DANS), National Confidential Enquiry into Patient Outcome and Death, Kaiser Permanente Santa Clara Medical Center, University Hospitals Bristol and Weston NHS Foundation Trust
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.
Sahar Wertheimer, Amy E Flowers, Yizhou Wang, Chintda Santiskulvong, Ekaterina L Clark +10 more
Papers
Driven by 5 papers — median percentile 29. Top paper: “Machine Learning with 18F-Sodium Fluoride PET and Quantitative Plaque Analysis on CT Angiography for the Future Risk of Myocardial Infarction”.
Evangelos Tzolos, Mohammed N. Meah, Sebastien Cadet, Philip D Adamson, Kajetan Grodecki +10 more
Márton Kolossváry, Evangelos Tzolos, Mohammed N. Meah, Philip D Adamson, Nikhil Joshi +9 more
Sahar Wertheimer, Amy E Flowers, Yizhou Wang, Chintda Santiskulvong, Ekaterina L Clark +10 more
Evangelos Tzolos, Philip D Adamson, Sebastien Cadet, Alastair J. Moss, Nikhil Joshi +8 more
Jacek Kwieciński, Martin Lyngby Lassen, Sebastien Cadet, Philip D Adamson, Alastair J. Moss +9 more