Chenye Jin

475 citations
8 papers · 263 · 1 hit paper · h-index 8

Impact in

Papers in

Chenye Jin

8 papers receiving 262 citations

Chenye Jin's Hit Papers

Global burden of type 1 diabetes in adults aged 65 years and older, 1990-2019: population based study 2024 · 84 citations
840+1Years since publication255075

Peers

Chenye Jin
Comparison fields: 5 of 62
  • Nephrology 89
  • Endocrinology, Diabetes and Metabolism 40
  • Pharmacology 7
  • Rehabilitation 5
  • Epidemiology 24
Replace Elisa T. Lee with:
Elisa T. Lee United States
Trine Borup Andersen Denmark
Hiroyoshi Segawa Japan
Gaurav Jain United States
Qinglin Lou China
Joanne L. Carter United Kingdom
Yingxian Sun China
Matthew G. Denker United States
Piyamitr Sritara Thailand
Lieneke Scheven Netherlands
Chenye Jin relative to Elisa T. Lee United States Elisa T. Lee's profile →
Citations per field
00.5×10×15×20.8×
Elisa T. Lee · 1×
Citations per year

Countries citing papers authored by Chenye Jin

Since Specialization
Citations

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

Fields of papers citing papers by Chenye Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
Global burden of type 1 diabetes in adults aged 65 years and older, 1990-2019: population based study
Hit paper breakdown →
202484
2 202271
3 202341
4 202319
5 202315
6 202413
7 202313
8 20237

About Chenye Jin

Chenye Jin is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Health, Public Health, Environmental and Occupational Health and Hematology, having authored 8 papers that have together received 263 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (2 papers), Global Public Health Policies and Epidemiology (1 paper), Blood Coagulation and Thrombosis Mechanisms (1 paper), Obesity, Physical Activity, Diet (1 paper), Health disparities and outcomes (1 paper), Thyroid Disorders and Treatments (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Nephrology (89 citations), Endocrinology, Diabetes and Metabolism (40 citations), Pharmacology (7 citations), Rehabilitation (5 citations) and Epidemiology (24 citations). Chenye Jin has collaborated with scholars based in China and United States. Frequent co-authors include Yongze Li, Zhongyan Shan, Weiping Teng, Bing Ma, Hao Sun, Jing Song, Jing Li, Kaijie Yang, Tingting Liu and Jing Zhang. Their work appears in journals such as RMD Open, Cell Reports Medicine, Stroke, Frontiers in Endocrinology and Journal of Diabetes.

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.

Explore authors with similar magnitude of impact