Chenye Jin
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
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- Thyroid Disorders and Treatments
- Diabetes Management and Research
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
- Diabetes Management and Research 2
- Thyroid Disorders and Treatments 1
- Diabetes Treatment and Management 1
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- Metabolism, Diabetes, and Cancer 2
- Co-authors
- Zhongyan Shan (3 shared papers)Yongze Li (6 shared papers)Weiping Teng (2 shared papers)Hao Sun (4 shared papers)Bing Ma (4 shared papers)Jing Li (1 shared paper)Jing Song (1 shared paper)Kaijie Yang (3 shared papers)
- Journals
- Diabetes & Metabolic Syndrome Clinical Research & Reviews (1 paper)Frontiers in Endocrinology (1 paper)Cell Reports Medicine (1 paper)BMJ (1 paper)Stroke (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Chenye Jin
8 papers receiving 229 citations
Chenye Jin's Hit Papers
Peers
Comparison fields: 5 of 80
- Nephrology 88
- Endocrinology, Diabetes and Metabolism 43
- Epidemiology 59
- Pathology and Forensic Medicine 29
- Pharmacology 12
Countries citing papers authored by Chenye Jin
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Global burden of type 1 diabetes in adults aged 65 years and older, 1990-2019: population based study Hit paper breakdown → | 2024 | 69 |
| 2 | 2022 | 65 | |
| 3 | 2023 | 38 | |
| 4 | 2023 | 16 | |
| 5 | 2024 | 13 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 7 |
About Chenye Jin
Chenye Jin is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Nephrology, Genetics and Surgery, having authored 8 papers that have together received 230 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Diabetes Management and Research (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Diabetes and associated disorders (2 papers), Thyroid Disorders and Treatments (1 paper), Case Reports on Hematomas (1 paper) and Diabetes Treatment and Management (1 paper). The work is most often cited by research in Nephrology (88 citations), Endocrinology, Diabetes and Metabolism (43 citations), Epidemiology (59 citations), Pathology and Forensic Medicine (29 citations) and Pharmacology (12 citations). Chenye Jin has collaborated with scholars based in China and United States. Frequent co-authors include Zhongyan Shan, Yongze Li, Weiping Teng, Hao Sun, Bing Ma, Jing Li, Jing Song, Kaijie Yang, Shuangning Ding and Jing Zhang. Their work appears in journals such as Diabetes & Metabolic Syndrome Clinical Research & Reviews, Frontiers in Endocrinology, Cell Reports Medicine, BMJ and Stroke.
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.