Hui Pan
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Pituitary Gland Disorders and Treatments
- Health Informatics top 2%
Papers in
-
- Growth Hormone and Insulin-like Growth Factors 64
- Pituitary Gland Disorders and Treatments 36
- Co-authors
- Huijuan Zhu (101 shared papers)Fengying Gong (90 shared papers)Hongbo Yang (85 shared papers)Linjie Wang (69 shared papers)Shi Chen (49 shared papers)Huijuan Zhu (39 shared papers)Lloyd D. Fricker (4 shared papers)Jihyeon Lim (1 shared paper)
- Journals
- Frontiers in Endocrinology (14 papers)The Journal of Clinical Endocrinology & Metabolism (9 papers)Scientific Reports (8 papers)Frontiers in Pharmacology (5 papers)Hormone and Metabolic Research (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hui Pan
246 papers receiving 3.8k citations
Hui Pan's Hit Papers
Peers
Comparison fields: 5 of 185
- Endocrinology, Diabetes and Metabolism 703
- Health Informatics 51
- General Dentistry 64
- Endocrine and Autonomic Systems 174
- Physiology 588
Countries citing papers authored by Hui Pan
This map shows the geographic impact of Hui 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 Hui Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Pan more than expected).
Fields of papers citing papers by Hui Pan
This network shows the impact of papers produced by Hui 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 Hui Pan. The network helps show where Hui Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui 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
Showing the 20 most-cited of 267 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 174 | |
| 2 | 2017 | 140 | |
| 3 | 2018 | 122 | |
| 4 | 2017 | 117 | |
| 5 | 2014 | 104 | |
| 6 | 2009 | 98 | |
| 7 | 2020 | 94 | |
| 8 | 2006 | 78 | |
| 9 | 2018 | 71 | |
| 10 | 2009 | 60 | |
| 11 | 2004 | 51 | |
| 12 | 2018 | 50 | |
| 13 | 2018 | 49 | |
| 14 | 2017 | 49 | |
| 15 | 2016 | 46 | |
| 16 | 2017 | 46 | |
| 17 | 2012 | 45 | |
| 18 | 2010 | 43 | |
| 19 | 2014 | 42 | |
| 20 | 2017 | 40 |
About Hui Pan
Hui Pan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology, Epidemiology and Surgery, having authored 267 papers that have together received 3.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (64 papers), Pituitary Gland Disorders and Treatments (36 papers), Lipid metabolism and disorders (24 papers), Adipokines, Inflammation, and Metabolic Diseases (22 papers), Adipose Tissue and Metabolism (20 papers), Diet and metabolism studies (17 papers), Adrenal and Paraganglionic Tumors (15 papers) and Birth, Development, and Health (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (703 citations), Health Informatics (51 citations), General Dentistry (64 citations), Endocrine and Autonomic Systems (174 citations) and Physiology (588 citations). Hui Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Huijuan Zhu, Fengying Gong, Hongbo Yang, Linjie Wang, Shi Chen, Huijuan Zhu, Lloyd D. Fricker, Jihyeon Lim, Fa‐Yun Che and Naishi Li. Their work appears in journals such as Frontiers in Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Scientific Reports, Frontiers in Pharmacology and Hormone and Metabolic Research.
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.