G Puavilai
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics
- Molecular Biology
- Orthopedics and Sports Medicine top 5%
- Surgery
- Co-authors
- Suwannee ChanprasertyotinBoonsong OngphiphadhanakulRajata RajatanavinNoppawan PiaseuSuwannee ChanprasertyothinLa‐or ChailurkitGerhard BaumannElaine Drobny
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)Bone health and osteoporosis research (7 papers)Diabetes and associated disorders (5 papers)
- Partner nations
- ThailandUnited States
In The Last Decade
G Puavilai
35 papers receiving 649 citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 266
- Genetics 158
- Molecular Biology 157
- Orthopedics and Sports Medicine 109
- Surgery 104
Countries citing papers authored by G Puavilai
This map shows the geographic impact of G Puavilai'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 G Puavilai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Puavilai more than expected).
Fields of papers citing papers by G Puavilai
This network shows the impact of papers produced by G Puavilai. 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 G Puavilai. The network helps show where G Puavilai may publish in the future.
Co-authorship network of co-authors of G Puavilai
This figure shows the co-authorship network connecting the top 25 collaborators of G Puavilai. A scholar is included among the top collaborators of G Puavilai 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 G Puavilai. G Puavilai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | Capillary blood beta-hydroxybutyrate measurement by reagent strip in diagnosing diabetic ketoacidosis. | 8 |
| 4 | 10 | |
| 5 | Prevalence of thyroid antibodies in Thai patients with chronic idiopathic urticaria. | 5 |
| 6 | 13 | |
| 7 | 16 | |
| 8 | 8 | |
| 9 | 32 | |
| 10 | 57 | |
| 11 | Correlation between serum insulin and features of metabolic syndrome in Thais. | 2 |
| 12 | 187 | |
| 13 | 14 | |
| 14 | 14 | |
| 15 | 26 | |
| 16 | 51 | |
| 17 | 68 | |
| 18 | 6 | |
| 19 | XYY karyotype with severe primary hypogonadism. A case report. | 2 |
| 20 | Insulin receptor on human red cells as a function of cell age and differentiation | 2 |
About G Puavilai
G Puavilai is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Complementary and Manual Therapy, having authored 35 papers that have together received 690 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Bone health and osteoporosis research (7 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (266 citations), Orthopedics and Sports Medicine (109 citations) and Urology (58 citations). G Puavilai has collaborated with scholars based in Thailand and United States. Frequent co-authors include Suwannee Chanprasertyotin, Boonsong Ongphiphadhanakul, Rajata Rajatanavin, Noppawan Piaseu, Suwannee Chanprasertyothin, La‐or Chailurkit, Gerhard Baumann, Elaine Drobny, Anavaj Sakuntabhai and Somyot Charuwichitratana. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Metabolism.
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.