Baile Wang
Impact in
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
-
- Adipose Tissue and Metabolism
Papers in
-
- Fibroblast Growth Factor Research 5
- Metabolism, Diabetes, and Cancer 4
- Kruppel-like factors research 3
- Epigenetics and DNA Methylation 3
-
- Adipose Tissue and Metabolism 6
- Erythrocyte Function and Pathophysiology 2
- Co-authors
- Kenneth K.Y. Cheng (9 shared papers)Aimin Xu (14 shared papers)Karen S.L. Lam (4 shared papers)Xiaokun Li (4 shared papers)Xuebo Pan (3 shared papers)Zhuofeng Lin (3 shared papers)Yanfang Wang (2 shared papers)Xiaomu Li (4 shared papers)
- Journals
- Nature Communications (3 papers)Journal of Agricultural and Food Chemistry (2 papers)Clinical Science (2 papers)Diabetes (2 papers)Signal Transduction and Targeted Therapy (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Baile Wang
20 papers receiving 718 citations
Peers
Comparison fields: 5 of 74
- Endocrine and Autonomic Systems 66
- Physiology 151
- Molecular Biology 334
- Epidemiology 150
- Endocrinology, Diabetes and Metabolism 55
Countries citing papers authored by Baile Wang
This map shows the geographic impact of Baile Wang'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 Baile Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baile Wang more than expected).
Fields of papers citing papers by Baile Wang
This network shows the impact of papers produced by Baile Wang. 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 Baile Wang. The network helps show where Baile Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Baile Wang, 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 | 2018 | 130 | |
| 2 | 2013 | 99 | |
| 3 | 2018 | 64 | |
| 4 | 2018 | 58 | |
| 5 | 2016 | 50 | |
| 6 | 2017 | 45 | |
| 7 | 2018 | 43 | |
| 8 | 2022 | 32 | |
| 9 | 2014 | 29 | |
| 10 | 2015 | 29 | |
| 11 | 2015 | 28 | |
| 12 | 2020 | 23 | |
| 13 | 2014 | 21 | |
| 14 | 2013 | 20 | |
| 15 | 2018 | 20 | |
| 16 | 2025 | 15 | |
| 17 | 2023 | 15 | |
| 18 | 2025 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 1 |
About Baile Wang
Baile Wang is a scholar working on Molecular Biology, Physiology, Surgery, Endocrine and Autonomic Systems and Rehabilitation, having authored 20 papers that have together received 726 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Fibroblast Growth Factor Research (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatic function and diabetes (4 papers), Kruppel-like factors research (3 papers), Epigenetics and DNA Methylation (3 papers), Regulation of Appetite and Obesity (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (66 citations), Physiology (151 citations), Molecular Biology (334 citations), Epidemiology (150 citations) and Endocrinology, Diabetes and Metabolism (55 citations). Baile Wang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Kenneth K.Y. Cheng, Aimin Xu, Karen S.L. Lam, Xiaokun Li, Xuebo Pan, Zhuofeng Lin, Yanfang Wang, Xiaomu Li, Zhuohao Liu and Xue‐Mei Niu. Their work appears in journals such as Nature Communications, Journal of Agricultural and Food Chemistry, Clinical Science, Diabetes and Signal Transduction and Targeted Therapy.
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.