Jaya Rajaiya
Massachusetts Eye and Ear Infirmary
ORCID: 0000-0002-4559-5613Also affiliated with Harvard University, University of New Mexico
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.
Lakshmi Akileswaran, Thomas Meirick, Michele Lee, James Chodosh, Jaya Rajaiya +62 more
Papers
Driven by 6 papers — median percentile 57. Top paper: “Machine Learning Prediction of Adenovirus D8 Conjunctivitis Complications from Viral Whole-Genome Sequence”.
Lakshmi Akileswaran, Thomas Meirick, Michele Lee, James Chodosh, Jaya Rajaiya +62 more
Alexandru Chivu, Dina B. AbuSamra, Amrita Saha, Sumit Chowdhuri, Bapan Pramanik +7 more
Amrita Saha, Ji S. Lee, David F. Painter, Yinghua Chen, Gurdeep Singh +5 more
Jay E Salinas, Rui Ping Wheaton, Suttinee Poolsup, Lee Allers, Mónica Rosas‐Lemus +12 more
Amrita Saha, Farzana Afrose Trisha, Miguel González‐Andrades, Hirak K. Patra, May Griffith +3 more
Amrita Saha, Kimberly A. Morrissey, Dominic Lundquist, Emanuel Garcia, Praveen Kumar Balne +4 more