Cong Chen
Merck & Co., Inc., Rahway, NJ, USA (United States)
ORCID: 0000-0002-0270-383XAlso affiliated with Merck Institute for Science Education, Decision Sciences (United States)
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 →Papers
Driven by 2 papers. Top paper: “FDA–AACR Strategies for Optimizing Dosages for Oncology Drug Products: Selecting Optimized Dosages for Registrational Trials”.
Cong Chen, Jin Y. Jin, Scott Van Wart, Sarah K. Martin, Brad A. Davidson +4 more
Xianggui Zhang, Ruilong Li, Qin Ding, Ya Ye, Zhen Huang +5 more