Ying-Chih Lo
ORCID: 0000-0001-6538-842XAlso affiliated with Harvard University
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.
Dinah Foer, Erin MacPhaul, Ying-Chih Lo, David W. Bates, Li Zhou +1 more
Papers
Driven by 5 papers — median percentile 35. Top paper: “Development of a Post-Acute Sequelae of COVID-19 (PASC) Symptom Lexicon Using Electronic Health Record Clinical Notes”.
Dinah Foer, Erin MacPhaul, Ying-Chih Lo, David W. Bates, Li Zhou +1 more
Suzanne V. Blackley, Kimberly G. Blumenthal, Sharmitha Yerneni, Foster Goss, Ying-Chih Lo +6 more
Ying-Chih Lo, Candrika D. Khairani, Antoine Bejjani, David Jiménez, Frederikus A. Klok +19 more
Santiago Alvarez‐Arango, Daniela Kroshinsky, Ying-Chih Lo, Upeka Samarakoon, Abigail Salem +7 more
Chantal Lemoine-Soto, Li Zhou, Adaeze Ezeofor, Ying-Chih Lo, Kimberly G. Blumenthal +2 more