Yan Bi
- Occupational Therapy top 0.2%
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- Diabetes Treatment and Management 30
- Diabetes Management and Research 21
- Diabetes, Cardiovascular Risks, and Lipoproteins 12
- Rehabilitation top 0.5%
- Physiology top 5%
- Adipose Tissue and Metabolism 14
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 27
- Adipokines, Inflammation, and Metabolic Diseases 15
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- Metabolism, Diabetes, and Cancer 23
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- Pancreatic function and diabetes 19
- Co-authors
- Dalong ZhuPengzi ZhangYali JingSunyinyan TangJing LüShanmei ShenWenhuan FengHongdong Wang
- Journals
- Diabetes/Metabolism Research and Reviews (10 papers)Diabetes Therapy (9 papers)Acta Diabetologica (8 papers)
- Partner nations
- ChinaUnited StatesLatvia
In The Last Decade
Yan Bi
166 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Occupational Therapy 547
- Endocrinology, Diabetes and Metabolism 2.1k
- Rehabilitation 845
- Physiology 671
- Epidemiology 823
Countries citing papers authored by Yan Bi
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 13 | |
| 9 | 2021 | 13 | |
| 10 | 2021 | 44 | |
| 11 | 2020 | 24 | |
| 12 | 2019 | 20 | |
| 13 | 2019 | 1 | |
| 14 | 2018 | 16 | |
| 15 | 2018 | 99 | |
| 16 | 2017 | 19 | |
| 17 | 2015 | 23 | |
| 18 | 2013 | 10 | |
| 19 | 2013 | 20 | |
| 20 | 2008 | 8 |
About Yan Bi
Yan Bi is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Physiology, Obstetrics and Gynecology and Horticulture, having authored 176 papers that have together received 4.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (30 papers), Liver Disease Diagnosis and Treatment (27 papers), Metabolism, Diabetes, and Cancer (23 papers), Diabetes Management and Research (21 papers), Pancreatic function and diabetes (19 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Adipose Tissue and Metabolism (14 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers). The work is most often cited by research in Occupational Therapy (547 citations), Endocrinology, Diabetes and Metabolism (2.1k citations), Rehabilitation (845 citations), Physiology (671 citations) and Epidemiology (823 citations). Yan Bi has collaborated with scholars based in China, United States and Latvia. 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, Acta Diabetologica, Diabetes Obesity and Metabolism 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.