Yan Ren

665 citations
38 papers · 429 · h-index 11

Impact in

Papers in

Yan Ren

35 papers receiving 424 citations

Peers

Yan Ren
Comparison fields: 5 of 81
  • Geriatrics and Gerontology 38
  • Endocrinology, Diabetes and Metabolism 112
  • Physiology 165
  • Nephrology 22
  • Nutrition and Dietetics 34
Replace Chiara Cattabiani with:
Chiara Cattabiani Italy
Angela Moh Singapore
Jiajia Jiang China
Hang‐Long Li Hong Kong
Daniel D. Penrice United States
Eric R. Kallwitz United States
Philipp Schütz Switzerland
R. Durant France
Kenichiro Shide Japan
Yan Ren relative to Chiara Cattabiani Italy Chiara Cattabiani's profile →
Citations per field
00.5×
Chiara Cattabiani · 1×
Citations per year

Countries citing papers authored by Yan Ren

Since Specialization
Citations

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

Fields of papers citing papers by Yan Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202086
2 202138
3 201435
4 202132
5 202226
6 201325
7 202023
8 201120
9 201913
10 201412
11 201410
12 202210
13 200710
14 20218
15 20168
16 20158
17 20158
18
[Prevalence of diabetes and prediabetes mellitus in the first-degree relatives of patients with type 2 diabetes in Chengdu].
20117
19 20236
20 20226

About Yan Ren

Yan Ren is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Physiology and Epidemiology, having authored 38 papers that have together received 429 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (13 papers), Adrenal and Paraganglionic Tumors (12 papers), Adrenal Hormones and Disorders (6 papers), Liver Disease Diagnosis and Treatment (3 papers), Frailty in Older Adults (3 papers), Nutrition and Health in Aging (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Meta-analysis and systematic reviews (2 papers). The work is most often cited by research in Geriatrics and Gerontology (38 citations), Endocrinology, Diabetes and Metabolism (112 citations), Physiology (165 citations), Nephrology (22 citations) and Nutrition and Dietetics (34 citations). Yan Ren has collaborated with scholars based in China, France and Russia. Frequent co-authors include Jiumei Cao, Jiaan Hu, Haoming Tian, Tingting Bai, Fang Fang, Tao Chen, Jie Wu, Ke Yang, Jiani Wang and Chunyan Lu. Their work appears in journals such as Frontiers in Endocrinology, BMC Geriatrics, Research Synthesis Methods, Academic Radiology and Endocrine Practice.

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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