Chengyi Ding

809 citations
19 papers · 435 indexed · h-index 10

Impact in

Papers in

Chengyi Ding

16 papers receiving 425 citations

Peers

Chengyi Ding
Comparison fields: 5 of 100
  • Critical Care and Intensive Care Medicine 64
  • Obstetrics and Gynecology 86
  • Molecular Medicine 44
  • Applied Microbiology and Biotechnology 14
  • Reproductive Medicine 38
Replace Masahiro Yasuda with:
Masahiro Yasuda Japan
Masoud Nouri‐Vaskeh Iran
Jinya Ding China
Peter Vervaart Australia
Ayşe Nur Torun Türkiye
Elsa Kermorvant‐Duchemin France
Babak Ebrahimi Iran
Stephen J. Balevic United States
Mickaël Vourc’h France
Chengyi Ding relative to Masahiro Yasuda Japan Masahiro Yasuda's profile →
Citations per field
00.5×6.6×
Masahiro Yasuda · 1×
Citations per year

Countries citing papers authored by Chengyi Ding

Since Specialization
Citations

This map shows the geographic impact of Chengyi Ding'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 Chengyi Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengyi Ding more than expected).

Fields of papers citing papers by Chengyi Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chengyi Ding. 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 Chengyi Ding. The network helps show where Chengyi Ding may publish in the future.

Co-authors

The 25 scholars most cited alongside Chengyi Ding, 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 Chengyi Ding Line = papers co-authored together Chengyi Ding links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201669
2 201754
3 201951
4 201550
5 202146
6 202046
7 201834
8 201929
9 202316
10 202111
11 20078
12 20227
13 20126
14 20253
15 20252
16 20082
17 20061
18 20210
19 20250

About Chengyi Ding

Chengyi Ding is a scholar working on Epidemiology, Pathology and Forensic Medicine, Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism and Critical Care and Intensive Care Medicine, having authored 19 papers that have together received 435 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (5 papers), Substance Abuse Treatment and Outcomes (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Nosocomial Infections in ICU (2 papers), Pneumonia and Respiratory Infections (2 papers), Diet, Metabolism, and Disease (1 paper) and Liver Disease and Transplantation (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (64 citations), Obstetrics and Gynecology (86 citations), Molecular Medicine (44 citations), Applied Microbiology and Biotechnology (14 citations) and Reproductive Medicine (38 citations). Chengyi Ding has collaborated with scholars based in United Kingdom, China and Australia. Frequent co-authors include Zhirong Yang, Jing Wang, Lihua Qiu, Dong Li, Annie Britton, Darragh O’Neill, Steven Bell, Weiwei Wang, Yu Cao and Emmanuel Stamatakis. Their work appears in journals such as Osteoarthritis and Cartilage, Nature Communications, International Journal of Infectious Diseases, BMC Medicine and Gynecologic Oncology.

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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