Yin Li

2.4k citations
58 papers · 1.7k · h-index 23

Impact in

Papers in

    • Receptor Mechanisms and Signaling 4
    • Metabolism, Diabetes, and Cancer 3
    • Adipose Tissue and Metabolism 13

Yin Li

58 papers receiving 1.7k citations

Peers

Yin Li
Comparison fields: 5 of 111
  • Endocrine and Autonomic Systems 366
  • Physiology 436
  • Nutrition and Dietetics 172
  • Biological Psychiatry 24
  • Endocrinology, Diabetes and Metabolism 149
Replace Keizo Kaneko with:
Keizo Kaneko Japan
Olivier Bonny Switzerland
Motoaki Saito Japan
Paul Kievit United States
Jorge Gamboa United States
Kenneth K.Y. Cheng Hong Kong
Kristina Wallenius Sweden
J R Flores-Riveros United States
Paula Mera Spain
Miles D. Thompson Canada
Yin Li relative to Keizo Kaneko Japan Keizo Kaneko's profile →
Citations per field
00.5×1.5×2.3×
Keizo Kaneko · 1×
Citations per year

Countries citing papers authored by Yin Li

Since Specialization
Citations

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

Fields of papers citing papers by Yin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013115
2 2014110
3 201398
4 200793
5 200884
6 200981
7 201380
8 201677
9 201175
10 200759
11 200957
12 201055
13 201551
14 201147
15 202143
16 201942
17 200839
18 201237
19 201535
20 202035

About Yin Li

Yin Li is a scholar working on Molecular Biology, Physiology, Endocrine and Autonomic Systems, Epidemiology and Surgery, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (13 papers), Regulation of Appetite and Obesity (10 papers), Adipokines, Inflammation, and Metabolic Diseases (9 papers), Receptor Mechanisms and Signaling (4 papers), Pancreatic function and diabetes (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Neuropeptides and Animal Physiology (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (366 citations), Physiology (436 citations), Nutrition and Dietetics (172 citations), Biological Psychiatry (24 citations) and Endocrinology, Diabetes and Metabolism (149 citations). Yin Li has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Weizhen Zhang, Yue Yin, Xinxin Xiang, Clay F. Semenkovich, Changtao Jiang, Xian Wang, Ziru Li, Jing Zhao, Trey Coleman and Geyang Xu. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Diabetes, Journal of Biological Chemistry and Cancer Management and Research.

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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