Jinhua Yan

1.9k citations
91 papers · 1.1k indexed · h-index 16
Topics
Diabetes Management and Research (44 papers)Diabetes and associated disorders (32 papers)Pancreatic function and diabetes (29 papers)
Partner nations
ChinaUnited StatesSweden

In The Last Decade

Jinhua Yan

85 papers receiving 1.1k citations

Peers

Jinhua Yan
Comparison fields: 5 of 119
  • Endocrinology, Diabetes and Metabolism 543
  • Surgery 297
  • Genetics 271
  • Molecular Biology 210
  • Pharmacology 176
Replace Shao‐Ling Zhang with:
Shao‐Ling Zhang United States
João Sérgio Neves Portugal
Yuanyuan Qian China
Juan‐Juan Qin China
Liming Wang China
Chun‐Wei Lu Taiwan
Jing Shen China
Zhihong Wang China
Marlon E. Cerf South Africa
Jinhua Yan relative to Shao‐Ling Zhang United States Shao‐Ling Zhang's profile →
Citations per field
00.5×3.9×
Shao‐Ling Zhang · 1×
Citations per year

Countries citing papers authored by Jinhua Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jinhua Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinhua Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Jinhua Yan. A scholar is included among the top collaborators of Jinhua Yan 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 Jinhua Yan. Jinhua Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
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4 7
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7 10
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13 5
14 1
15 3
16 23
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[The prevalence and risk factors of metabolic syndrome among adult residents in Guangdong and Jiangsu provinces in China].
5
19
Exchange of a nuclear corepressor between NF-kappaB and CREB mediates inhibition of phosphoenolpyruvate carboxykinase transcription by NF-kappaB.
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20 8

About Jinhua Yan

Jinhua Yan is a scholar working on Endocrinology, Diabetes and Metabolism, Obstetrics and Gynecology and Genetics, having authored 91 papers that have together received 1.1k indexed citations. Recurring topics across this work include Diabetes Management and Research (44 papers), Diabetes and associated disorders (32 papers) and Pancreatic function and diabetes (29 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (543 citations), Marketing (97 citations) and Pharmacology (176 citations). Jinhua Yan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Jianping Weng, Hua Liang, Daizhi Yang, Xueying Zheng, Wen Xu, Jianping Ye, Sihui Luo, InSoo Han, Jianguo Du and Keun‐Yeob Oh. Their work appears in journals such as Nature Communications, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

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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