Le Bu
Impact in
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
- Geriatrics and Gerontology top 10%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 4
- Metabolism, Diabetes, and Cancer 2
- Receptor Mechanisms and Signaling 2
- Surgery 7
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 2
- Bariatric Surgery and Outcomes 2
- Co-authors
- Shen Qu (34 shared papers)Mingming Gao (3 shared papers)Dexi Liu (1 shared paper)Chunjun Sheng (8 shared papers)Peng Yang (10 shared papers)Xiaoyun Cheng (14 shared papers)Xingchun Wang (8 shared papers)Manna Zhang (9 shared papers)
- Journals
- Lipids in Health and Disease (7 papers)Obesity Surgery (4 papers)Frontiers in Endocrinology (3 papers)Cell Death Discovery (1 paper)HORMONES (1 paper)
- Partner nations
- ChinaUnited StatesEcuador
In The Last Decade
Le Bu
44 papers receiving 817 citations
Peers
Comparison fields: 5 of 93
- Endocrine and Autonomic Systems 75
- Geriatrics and Gerontology 22
- Nephrology 43
- Physiology 149
- Endocrinology, Diabetes and Metabolism 89
Countries citing papers authored by Le Bu
This map shows the geographic impact of Le Bu'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 Le Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Bu more than expected).
Fields of papers citing papers by Le Bu
This network shows the impact of papers produced by Le Bu. 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 Le Bu. The network helps show where Le Bu may publish in the future.
Co-authors
The 25 scholars most cited alongside Le Bu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 95 | |
| 2 | 2013 | 83 | |
| 3 | 2016 | 73 | |
| 4 | 2019 | 58 | |
| 5 | 2015 | 44 | |
| 6 | 2016 | 28 | |
| 7 | 2021 | 28 | |
| 8 | 2018 | 26 | |
| 9 | 2013 | 25 | |
| 10 | 2017 | 25 | |
| 11 | 2014 | 24 | |
| 12 | 2022 | 23 | |
| 13 | 2022 | 23 | |
| 14 | 2017 | 20 | |
| 15 | 2018 | 18 | |
| 16 | 2016 | 16 | |
| 17 | 2018 | 15 | |
| 18 | 2024 | 14 | |
| 19 | 2014 | 13 | |
| 20 | 2021 | 13 |
About Le Bu
Le Bu is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 46 papers that have together received 827 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (4 papers), Neuropeptides and Animal Physiology (4 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Diabetes and associated disorders (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Receptor Mechanisms and Signaling (2 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers) and Bariatric Surgery and Outcomes (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (75 citations), Geriatrics and Gerontology (22 citations), Nephrology (43 citations), Physiology (149 citations) and Endocrinology, Diabetes and Metabolism (89 citations). Le Bu has collaborated with scholars based in China, United States and Ecuador. Frequent co-authors include Shen Qu, Mingming Gao, Dexi Liu, Chunjun Sheng, Peng Yang, Xiaoyun Cheng, Xingchun Wang, Manna Zhang, Cuiling Zhu and Chunhua Qian. Their work appears in journals such as Lipids in Health and Disease, Obesity Surgery, Frontiers in Endocrinology, Cell Death Discovery and HORMONES.
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.