Sha Chen

25 papers receiving 490 citations

Sha Chen's Hit Papers

Direct cardiac effects of SGLT2 inhibitors 2022 · 117 citations
1170+1+2Years since publication255075100

Peers

Sha Chen
Comparison fields: 5 of 56
  • Hepatology 265
  • Endocrinology, Diabetes and Metabolism 83
  • Epidemiology 119
  • Surgery 116
  • Cardiology and Cardiovascular Medicine 39
Replace Ian Homer Y. with:
Ian Homer Y. Philippines
Takumi Akiyama Japan
Mona Lalehzari United States
Kazuhisa Kodama Japan
Prashant Pandya United States
Rajani Sharma United States
Yohji Honda Japan
Audrey Payancé France
Hideaki Taniguchi Japan
Han Ah Lee South Korea
Sha Chen relative to Ian Homer Y. Philippines Ian Homer Y.'s profile →
Citations per field
00.5×11×
Ian Homer Y. · 1×
Citations per year

Countries citing papers authored by Sha Chen

Since Specialization
Citations

This map shows the geographic impact of Sha Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sha Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Chen more than expected).

Fields of papers citing papers by Sha Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sha Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sha Chen. The network helps show where Sha Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Sha Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sha Chen Line = papers co-authored together Sha Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Direct cardiac effects of SGLT2 inhibitors
Hit paper breakdown →
2022117
2 202084
3 201962
4 201954
5 201920
6 201819
7 201818
8 202314
9 202213
10 201713
11 201912
12 201911
13 202110
14 20239
15 20109
16 20227
17 20236
18 20225
19 20225
20 20213

About Sha Chen

Sha Chen is a scholar working on Hepatology, Surgery, Epidemiology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 30 papers that have together received 497 indexed citations. Recurring topics across this work include Liver Diseases and Immunity (16 papers), Pediatric Hepatobiliary Diseases and Treatments (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Diabetes Treatment and Management (2 papers), HIV/AIDS Research and Interventions (2 papers), Pancreatic function and diabetes (2 papers), Endometrial and Cervical Cancer Treatments (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Hepatology (265 citations), Endocrinology, Diabetes and Metabolism (83 citations), Epidemiology (119 citations), Surgery (116 citations) and Cardiology and Cardiovascular Medicine (39 citations). Sha Chen has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Jidong Jia, Yuanyuan Kong, Ruben Coronel, Coert J. Zuurbier, Nina C. Weber, Markus W. Hollmann, Tingting Lv, Weijia Duan, Min� Li and Hong You. Their work appears in journals such as Hepatology International, Journal of Gastroenterology and Hepatology, Medicine, Journal of Gastroenterology and Cardiovascular Diabetology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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