Xiaohui Pan
Impact in
-
- Diabetes Treatment and Management
- Diet, Metabolism, and Disease
- Diabetes Management and Research
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- Diet and metabolism studies
Papers in
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- Metabolism, Diabetes, and Cancer 3
- Surgery 6
- Pancreatic function and diabetes 3
- Co-authors
- Ge Peng (4 shared papers)Yuwei Zhang (1 shared paper)Xi Lu (1 shared paper)Sumin Shen (3 shared papers)Ruining Zhang (1 shared paper)Qingxing Xie (4 shared papers)Xinyi Zhang (1 shared paper)Nanwei Tong (1 shared paper)
- Journals
- Frontiers in Endocrinology (4 papers)Obesity Reviews (1 paper)BMC Genomics (1 paper)Signal Transduction and Targeted Therapy (1 paper)Clinical Genetics (1 paper)
- Partner nations
- ChinaUnited Kingdom
In The Last Decade
Xiaohui Pan
13 papers receiving 233 citations
Xiaohui Pan's Hit Papers
Peers
Comparison fields: 5 of 71
- Endocrinology, Diabetes and Metabolism 87
- Physiology 49
- Molecular Biology 87
- Cancer Research 19
- Health Information Management 5
Countries citing papers authored by Xiaohui Pan
This map shows the geographic impact of Xiaohui Pan'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 Xiaohui Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Pan more than expected).
Fields of papers citing papers by Xiaohui Pan
This network shows the impact of papers produced by Xiaohui Pan. 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 Xiaohui Pan. The network helps show where Xiaohui Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui Pan, 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 | Type 2 diabetes mellitus in adults: pathogenesis, prevention and therapy Hit paper breakdown → | 2024 | 159 |
| 2 | 2020 | 20 | |
| 3 | 2020 | 15 | |
| 4 | 2022 | 13 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 5 | |
| 7 | 2020 | 5 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2025 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 | |
| 15 | 2022 | 0 |
About Xiaohui Pan
Xiaohui Pan is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 236 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Diabetes Treatment and Management (3 papers), Cardiovascular Disease and Adiposity (2 papers), Cancer-related molecular mechanisms research (2 papers), Genetic Associations and Epidemiology (2 papers), Diet, Metabolism, and Disease (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (87 citations), Physiology (49 citations), Molecular Biology (87 citations), Cancer Research (19 citations) and Health Information Management (5 citations). Xiaohui Pan has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Ge Peng, Yuwei Zhang, Xi Lu, Sumin Shen, Ruining Zhang, Qingxing Xie, Xinyi Zhang, Nanwei Tong, Nanwei Tong and Shishi Xu. Their work appears in journals such as Frontiers in Endocrinology, Obesity Reviews, BMC Genomics, Signal Transduction and Targeted Therapy and Clinical Genetics.
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.