Xuan-Ping Pang
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Oncology
- Immunology
- Public Health, Environmental and Occupational Health
- Co-authors
- Jerome M. HershmanA. EUGENE PEKARYA E PekaryCarol J. MirellManabu YoshimuraKazuyasu OhtaMasayoshi YoshimuraMi Na Park
- Topics
- Thyroid Disorders and Treatments (14 papers)Growth Hormone and Insulin-like Growth Factors (7 papers)Thyroid Cancer Diagnosis and Treatment (6 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Clinical Endocrinology & MetabolismEndocrinology
- Partner nations
- United StatesRussia
In The Last Decade
Xuan-Ping Pang
23 papers receiving 804 citations
Peers
Comparison fields: 5 of 78
- Endocrinology, Diabetes and Metabolism 467
- Molecular Biology 289
- Oncology 135
- Immunology 113
- Public Health, Environmental and Occupational Health 104
Countries citing papers authored by Xuan-Ping Pang
This map shows the geographic impact of Xuan-Ping Pang'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 Xuan-Ping Pang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuan-Ping Pang more than expected).
Fields of papers citing papers by Xuan-Ping Pang
This network shows the impact of papers produced by Xuan-Ping Pang. 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 Xuan-Ping Pang. The network helps show where Xuan-Ping Pang may publish in the future.
Co-authorship network of co-authors of Xuan-Ping Pang
This figure shows the co-authorship network connecting the top 25 collaborators of Xuan-Ping Pang. A scholar is included among the top collaborators of Xuan-Ping Pang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xuan-Ping Pang. Xuan-Ping Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 56 | |
| 3 | 8 | |
| 4 | 38 | |
| 5 | 17 | |
| 6 | 42 | |
| 7 | 34 | |
| 8 | 55 | |
| 9 | 36 | |
| 10 | 36 | |
| 11 | 42 | |
| 12 | 15 | |
| 13 | 37 | |
| 14 | 13 | |
| 15 | 29 | |
| 16 | 28 | |
| 17 | 129 | |
| 18 | 103 | |
| 19 | 4 | |
| 20 | 75 |
About Xuan-Ping Pang
Xuan-Ping Pang is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Cancer Research, having authored 23 papers that have together received 830 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (14 papers), Growth Hormone and Insulin-like Growth Factors (7 papers) and Thyroid Cancer Diagnosis and Treatment (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (467 citations), Reproductive Medicine (64 citations) and Immunology (113 citations). Xuan-Ping Pang has collaborated with scholars based in United States and Russia. Frequent co-authors include Jerome M. Hershman, A. EUGENE PEKARY, A E Pekary, Carol J. Mirell, Manabu Yoshimura, Kazuyasu Ohta, Masayoshi Yoshimura, Mi Na Park, Masahiro Sugawara and T. Murphy Goodwin. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.
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.