Chenye Jin

439 total citations · 1 hit paper
8 papers, 230 citations indexed

About

Chenye Jin is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Nephrology. According to data from OpenAlex, Chenye Jin has authored 8 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Endocrinology, Diabetes and Metabolism, 3 papers in Molecular Biology and 2 papers in Nephrology. Recurrent topics in Chenye Jin's work include Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes and associated disorders (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). Chenye Jin is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Diabetes and associated disorders (2 papers) and Gout, Hyperuricemia, Uric Acid (2 papers). Chenye Jin collaborates with scholars based in China and United States. Chenye Jin's co-authors include Yongze Li, Zhongyan Shan, Bing Ma, Weiping Teng, Hao Sun, Jing Li, Jing Song, Kaijie Yang, Jing Zhang and Tingting Liu and has published in prestigious journals such as Stroke, BMJ and Frontiers in Endocrinology.

In The Last Decade

Chenye Jin

8 papers receiving 229 citations

Hit Papers

Global burden of type 1 diabetes in adults aged 65 years ... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chenye Jin China 8 88 59 43 29 26 8 230
Seolhye Kim South Korea 11 72 0.8× 86 1.5× 44 1.0× 53 1.8× 14 0.5× 15 323
Cem Tanrıöver Türkiye 11 70 0.8× 31 0.5× 68 1.6× 13 0.4× 40 1.5× 24 292
Sara Nejatinamini Canada 11 58 0.7× 44 0.7× 30 0.7× 56 1.9× 23 0.9× 20 280
Te-Chih Wong Taiwan 11 80 0.9× 55 0.9× 34 0.8× 11 0.4× 22 0.8× 31 284
Xiaoguang Wu China 12 40 0.5× 92 1.6× 52 1.2× 21 0.7× 26 1.0× 26 358
Yingxian Sun China 8 67 0.8× 99 1.7× 75 1.7× 51 1.8× 26 1.0× 11 303
Anna Shin South Korea 10 77 0.9× 38 0.6× 35 0.8× 28 1.0× 27 1.0× 25 314
Mihaela Adela Iancu Romania 12 36 0.4× 74 1.3× 25 0.6× 11 0.4× 37 1.4× 51 303
Nicholas Cole United Kingdom 11 64 0.7× 21 0.4× 37 0.9× 11 0.4× 27 1.0× 19 276
Natalia Stepanova Ukraine 11 112 1.3× 56 0.9× 25 0.6× 15 0.5× 51 2.0× 91 293

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-authorship network of co-authors of Chenye Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Chenye Jin. A scholar is included among the top collaborators of Chenye Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chenye Jin. Chenye Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Yang, Kaijie, Chenye Jin, Shuangning Ding, et al.. (2024). Global burden of type 1 diabetes in adults aged 65 years and older, 1990-2019: population based study. BMJ. 385. e078432–e078432. 69 indexed citations breakdown →
2.
Sun, Hao, Bing Ma, Chenye Jin, et al.. (2024). Global, Regional, and National Burdens of Stroke in Children and Adolescents From 1990 to 2019: A Population-Based Study. Stroke. 55(6). 1543–1553. 13 indexed citations
3.
Jin, Chenye, et al.. (2023). Subclinical hypothyroidism increases insulin resistance in normoglycemic people. Frontiers in Endocrinology. 14. 1106968–1106968. 16 indexed citations
4.
Jin, Chenye, Yaxin Lai, Yongze Li, et al.. (2023). Changes in the prevalence of diabetes and control of risk factors for diabetes among Chinese adults from 2007 to 2017: An analysis of repeated national cross‐sectional surveys. Journal of Diabetes. 16(2). e13492–e13492. 11 indexed citations
5.
Zhang, Jing, Chenyan Shi, Zhen Liang, et al.. (2023). Burden of noncommunicable diseases among children and adolescents aged 10–24 years in China, 1990–2019: A population-based study. Cell Reports Medicine. 4(12). 101331–101331. 11 indexed citations
6.
Cao, Yanli, Chenye Jin, Jing Zhang, et al.. (2023). Diabetes burden, trends, and inequalities in western pacific region, 1990–2019: A population-based study. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 17(9). 102852–102852. 7 indexed citations
7.
Zhang, Jing, Chenye Jin, Bing Ma, et al.. (2023). Global, regional and national burdens of gout in the young population from 1990 to 2019: a population-based study. RMD Open. 9(2). e003025–e003025. 38 indexed citations
8.
Song, Jing, Chenye Jin, Zhongyan Shan, Weiping Teng, & Jing Li. (2022). Prevalence and risk factors of hyperuricemia and gout: a cross-sectional survey from 31 provinces in mainland China. Journal of Translational Internal Medicine. 10(2). 134–145. 65 indexed citations

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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