🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Yuying Li

Ningbo University

ORCID: 0000-0003-0165-8018

Also affiliated with Ministry of Education, Zhongyuan University of Technology, Peninsula Regional Medical Center, Qingdao University of Science and Technology, Wenzhou University, Harbin Medical University, Jinan University, Henan University of Science and Technology, Capital Medical University, Northeast Normal University, Jilin University, Wuhan University of Technology, Chinese Academy of Sciences, Wenzhou Medical University, Shandong Normal University, First Affiliated Hospital of Wenzhou Medical University, Moffitt Cancer Center, Hebei University of Science and Technology, Zhengzhou University, Affiliated Hospital of Southwest Medical University, Technology Holding (United States), Laboratoire de Chémo-biologie synthétique et thérapeutique, Institute of Bast Fiber Crops, People's Liberation Army 401 Hospital, Institute of Subtropical Agriculture, Nanyang Normal University, Shanghai Institute of Materia Medica, General Hospital of Shenyang Military Region, Second Affiliated Hospital of Harbin Medical University, Chinese Academy of Agricultural Sciences, Xian Yang Central Hospital, Zhengzhou Institute of Machinery, Xijing Hospital, First People's Hospital of Xianyang, China Agricultural University, Ocean University of China, Beijing University of Chemical Technology, Southeast University, College of Marin, Macquarie University, Air Force Medical University

Biochemistry, Genetics and Molecular BiologyAgricultural and Biological SciencesEngineering

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.

Top 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 2 papers. Top paper: Deciphering the genetic architecture of atrial fibrillation offers insights into disease prediction, pathophysiology and downstream sequelae.