Sha Chen

24 papers receiving 447 citations

Hit Papers

Direct cardiac effects of SGLT2 inhibitors 2022 · 111 citations
1110+1+2Years since publication255075100

Peers

Sha Chen
Comparison fields: 5 of 56
  • Hepatology 246
  • Endocrinology, Diabetes and Metabolism 94
  • Epidemiology 187
  • Surgery 195
  • Cardiology and Cardiovascular Medicine 54
Replace Jen‐Jung Pan with:
Jen‐Jung Pan United States
Tsuyoshi Todo United States
Nancy E. Aguilar-Olivos Mexico
Rajani Sharma United States
Mona Lalehzari United States
Taeang Arai Japan
Junfeng Zhang China
Hideaki Taniguchi Japan
Han Ah Lee South Korea
Jaquelyn Fleckenstein United States
Sha Chen relative to Jen‐Jung Pan United States Jen‐Jung Pan's profile →
Citations per field
00.5×
Jen‐Jung Pan · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Direct cardiac effects of SGLT2 inhibitors
Hit paper breakdown →
2022111
2 202076
3 201956
4 201946
5 201919
6 201818
7 201817
8 202313
9 201712
10 201911
11 202110
12 201910
13 20229
14 20237
15 20107
16 20227
17 20236
18 20224
19 20224
20 20213

About Sha Chen

Sha Chen is a scholar working on Hepatology, Surgery, Epidemiology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 450 indexed citations. Recurring topics across this work include Liver Diseases and Immunity (15 papers), Pediatric Hepatobiliary Diseases and Treatments (13 papers), Liver Disease Diagnosis and Treatment (10 papers), Gallbladder and Bile Duct Disorders (6 papers), HIV/AIDS Research and Interventions (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Pancreatic function and diabetes (2 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Hepatology (246 citations), Endocrinology, Diabetes and Metabolism (94 citations), Epidemiology (187 citations), Surgery (195 citations) and Cardiology and Cardiovascular Medicine (54 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, Markus W. Hollmann, Nina C. Weber, Tingting Lv, Min� Li, Hong You and Weijia Duan. Their work appears in journals such as Hepatology International, Journal of Gastroenterology and Hepatology, International Journal of STD & AIDS, Cardiovascular Diabetology and Medicine.

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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