Pisit Pitukcheewanont
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 5%
- Genetics top 5%
- Orthopedics and Sports Medicine top 2%
- Physiology top 10%
- Co-authors
- Vicente GilsanzFrancine KaufmanMary HalvorsonLynda K. FisherStefano MoraJerald C. NelsonSue CarpenterVernon T. Tolo
- Topics
- Bone health and osteoporosis research (16 papers)Diabetes Management and Research (10 papers)Growth Hormone and Insulin-like Growth Factors (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismDiabetes Care
- Partner nations
- United StatesAustraliaThailand
In The Last Decade
Pisit Pitukcheewanont
64 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 102
- Endocrinology, Diabetes and Metabolism 718
- Surgery 594
- Genetics 554
- Orthopedics and Sports Medicine 440
- Physiology 271
Countries citing papers authored by Pisit Pitukcheewanont
This map shows the geographic impact of Pisit Pitukcheewanont'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 Pisit Pitukcheewanont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pisit Pitukcheewanont more than expected).
Fields of papers citing papers by Pisit Pitukcheewanont
This network shows the impact of papers produced by Pisit Pitukcheewanont. 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 Pisit Pitukcheewanont. The network helps show where Pisit Pitukcheewanont may publish in the future.
Co-authorship network of co-authors of Pisit Pitukcheewanont
This figure shows the co-authorship network connecting the top 25 collaborators of Pisit Pitukcheewanont. A scholar is included among the top collaborators of Pisit Pitukcheewanont 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 Pisit Pitukcheewanont. Pisit Pitukcheewanont is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | Persistent Müllerian duct syndrome: 8 new cases in Southern California and a review of the literature. | 10 |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 32 | |
| 8 | 17 | |
| 9 | 24 | |
| 10 | 16 | |
| 11 | 1 | |
| 12 | 29 | |
| 13 | 74 | |
| 14 | 98 | |
| 15 | 25 | |
| 16 | 51 | |
| 17 | 68 | |
| 18 | 11 | |
| 19 | 101 | |
| 20 | 15 |
About Pisit Pitukcheewanont
Pisit Pitukcheewanont is a scholar working on Orthopedics and Sports Medicine, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (16 papers), Diabetes Management and Research (10 papers) and Growth Hormone and Insulin-like Growth Factors (10 papers). The work is most often cited by research in Orthopedics and Sports Medicine (440 citations), Endocrinology, Diabetes and Metabolism (718 citations) and Nephrology (245 citations). Pisit Pitukcheewanont has collaborated with scholars based in United States, Australia and Thailand. Frequent co-authors include Vicente Gilsanz, Francine Kaufman, Mary Halvorson, Lynda K. Fisher, Stefano Mora, Jerald C. Nelson, Sue Carpenter, Vernon T. Tolo, David L. Skaggs and Tishya A. L. Wren. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.