Michael B. Prystowsky
Albert Einstein College of Medicine
ORCID: 0000-0002-9548-6917Pilot 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.
Vikas Mehta, Dan Li, Carlos Thomas, Nitisha Shrivastava, Nicole Kawachi +11 more
Papers
Driven by 9 papers — median percentile 44. Top paper: “Single-Dilution COVID-19 Antibody Test with Qualitative and Quantitative Readouts”.
Catalina Florez, Ethan Laudermilch, Ariel S. Wirchnianski, Gorka Lasso, Ryan J. Malonis +36 more
Vikas Mehta, Dan Li, Carlos Thomas, Nitisha Shrivastava, Nicole Kawachi +11 more
Cory D. Fulcher, Daniel Li, Nitisha Shrivastava, Carlos Thomas, Jeffrey E. Segall +5 more
Robert H. Bortz, Wen-Hsuan W. Lin, Inessa Gendlina, Amy S. Fox, Eldad A. Hod +5 more
Jihyeon Lim, Sabrina Racine-Brzostek, Joshua Fischer, Cristina Silvescu, Shannon Cornett +11 more
Malindrie Dharmaratne, Huizhi Liang, Outhiriaradjou Benard, Miriam Morales-Gallego, Kimita Suyama +8 more
Daniel Li, Nicole Kawachi, Thomas J. Ow, Thomas J. Belbin, Geoffrey Childs +3 more
J. An, A. Gersten, N. Eva Wu, Nicole Kawachi, Jing Zhu +12 more
Catalina Florez, Ethan Laudermilch, Ariel S. Wirchnianski, Gorka Lasso, Ryan J. Malonis +36 more