Yan Bi

7.0k citations
179 papers · 4.8k · 2 hit papers · h-index 32

Impact in

Papers in

Yan Bi

167 papers receiving 4.8k citations

Yan Bi's Hit Papers

Extracellular vesicles mediate the communication of adipose tissue with brain and promote cognitive impairment associated with insulin resistance 2022 · 160 citations
1600+3+6Years since publication4008001.2k

Peers

Yan Bi
Comparison fields: 5 of 132
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Rehabilitation 559
  • Occupational Therapy 297
  • Epidemiology 695
  • Biochemistry 127
Replace Μelpomeni Peppa with:
Μelpomeni Peppa Greece
Davide Lauro Italy
H. von Schenck Sweden
Wu Qu United States
Ishwarlal Jialal United States
Karim Gariani Switzerland
John Doupis Greece
R. Scott Rector United States
Asle Aarsland United States
Antonino Saitta Italy
Yan Bi relative to Μelpomeni Peppa Greece Μelpomeni Peppa's profile →
Citations per field
00.5×6.9×
Μelpomeni Peppa · 1×
Citations per year

Countries citing papers authored by Yan Bi

Since Specialization
Citations

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

Fields of papers citing papers by Yan Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Global epidemiology of diabetic foot ulceration: a systematic review and meta-analysis
Hit paper breakdown →
20161238
2 2019169
3
Extracellular vesicles mediate the communication of adipose tissue with brain and promote cognitive impairment associated with insulin resistance
Hit paper breakdown →
2022160
4 2017130
5 2017127
6 2018106
7 201899
8 200996
9 201986
10 201385
11 201981
12 201177
13 202074
14 201464
15 201062
16 201652
17 202048
18 202347
19 202246
20 201946

About Yan Bi

Yan Bi is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery and Physiology, having authored 179 papers that have together received 4.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (20 papers), Metabolism, Diabetes, and Cancer (13 papers), Diabetes Treatment and Management (13 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers), Adipose Tissue and Metabolism (10 papers), Diabetes Management and Research (10 papers), Plant-Microbe Interactions and Immunity (9 papers) and Pluripotent Stem Cells Research (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Rehabilitation (559 citations), Occupational Therapy (297 citations), Epidemiology (695 citations) and Biochemistry (127 citations). Yan Bi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dalong Zhu, Pengzi Zhang, Yali Jing, Sunyinyan Tang, Jing Lü, Shanmei Shen, Wenhuan Feng, Hongdong Wang, Zhijuan Ge and Dalong Zhu. Their work appears in journals such as Diabetes/Metabolism Research and Reviews, Diabetes Therapy, Diabetes Obesity and Metabolism, Acta Diabetologica and Journal of Diabetes Investigation.

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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