Chengyi Ding

840 citations
18 papers · 461 · h-index 10

Impact in

Papers in

Chengyi Ding

16 papers receiving 451 citations

Peers

Chengyi Ding
Comparison fields: 5 of 93
  • Critical Care and Intensive Care Medicine 51
  • Obstetrics and Gynecology 78
  • Molecular Medicine 33
  • Applied Microbiology and Biotechnology 7
  • Endocrinology, Diabetes and Metabolism 52
Replace Jinya Ding with:
Jinya Ding China
Arvind Kumar Vaish India
Peter Vervaart Australia
Neda Ghaffari United States
Qingfeng Ma China
Elizabeth M. Gavioli United States
Pilar Luqué Spain
Yingjie Qi China
Chander Prakash Yadav India
Mickaël Vourc’h France
Chengyi Ding relative to Jinya Ding China Jinya Ding's profile →
Citations per field
00.5×10.4×
Jinya Ding · 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

18 of 18 papers shown
#Work
1 201670
2 201755
3 201955
4 201551
5 202150
6 202046
7 201836
8 201931
9 202321
10 202112
11 20229
12 20078
13 20256
14 20126
15 20252
16 20082
17 20061
18 20210

About Chengyi Ding

Chengyi Ding is a scholar working on Pathology and Forensic Medicine, Epidemiology, Endocrinology, Diabetes and Metabolism, Critical Care and Intensive Care Medicine and Obstetrics and Gynecology, having authored 18 papers that have together received 461 indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (5 papers), Liver Disease Diagnosis and Treatment (2 papers), Nosocomial Infections in ICU (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Liver Disease and Transplantation (1 paper), Recycling and utilization of industrial and municipal waste in materials production (1 paper), Uterine Myomas and Treatments (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Critical Care and Intensive Care Medicine (51 citations), Obstetrics and Gynecology (78 citations), Molecular Medicine (33 citations), Applied Microbiology and Biotechnology (7 citations) and Endocrinology, Diabetes and Metabolism (52 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, Emmanuel Stamatakis, Weiwei Wang and Lizhong Han. Their work appears in journals such as Osteoarthritis and Cartilage, Nature Communications, Addiction, BMC Medicine and International Journal of Infectious Diseases.

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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