Sina Majidian
ORCID: 0000-0001-5345-6982Also affiliated with Johns Hopkins Medicine, University of Baltimore, University of Lausanne
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 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.
Daniel Paiva Agustinho, Chen-Shan Chin, Fritz J. Sedlazeck, Medhat Mahmoud, Sina Majidian
Papers
Driven by 8 papers — median percentile 68. Top paper: “Genomic variant benchmark: if you cannot measure it, you cannot improve it”.
Daniel Paiva Agustinho, Chen-Shan Chin, Fritz J. Sedlazeck, Medhat Mahmoud, Sina Majidian
Yannis Nevers, Vinh Tran, Dushyanth Jyothi, María Martin, Salvatore Cosentino +16 more
Bishnu Adhikar, Shaghayegh Beheshti, Sarah Fross, Jędrzej Kubica, Jen‐Yu Wang +49 more
Sina Majidian, Ben Langmead, Mohsen Zakeri, Steven Tan
Fritz J. Sedlazeck, Sina Majidian
Sina Majidian, Ben Langmead, Mohsen Zakeri, Steven Tan
Adrian Altenhoff, Sina Majidian, Fritz J. Sedlazeck, Christophe Dessimoz, David Dylus
Adrian Altenhoff, Sina Majidian, Fritz J. Sedlazeck, Christophe Dessimoz, David Dylus