Chatchalit Rattarasarn
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery
- Genetics top 10%
- Physiology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Philip E. CryerSamuel Dagogo‐JackSupamai SoonthornpunWorawong SetasubanRattana LeelawattanaJeffery J. ZachwiejaAlan GeaterRawee Teanpaisan
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers)Diabetes Management and Research (9 papers)Diabetes and associated disorders (6 papers)
- Partner nations
- ThailandSpainUnited States
In The Last Decade
Chatchalit Rattarasarn
27 papers receiving 756 citations
Peers
Comparison fields: 5 of 75
- Endocrinology, Diabetes and Metabolism 506
- Surgery 235
- Genetics 210
- Physiology 188
- Cardiology and Cardiovascular Medicine 119
Countries citing papers authored by Chatchalit Rattarasarn
This map shows the geographic impact of Chatchalit Rattarasarn'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 Chatchalit Rattarasarn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chatchalit Rattarasarn more than expected).
Fields of papers citing papers by Chatchalit Rattarasarn
This network shows the impact of papers produced by Chatchalit Rattarasarn. 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 Chatchalit Rattarasarn. The network helps show where Chatchalit Rattarasarn may publish in the future.
Co-authorship network of co-authors of Chatchalit Rattarasarn
This figure shows the co-authorship network connecting the top 25 collaborators of Chatchalit Rattarasarn. A scholar is included among the top collaborators of Chatchalit Rattarasarn 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 Chatchalit Rattarasarn. Chatchalit Rattarasarn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 10 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 63 | |
| 9 | 19 | |
| 10 | 50 | |
| 11 | 25 | |
| 12 | 13 | |
| 13 | 93 | |
| 14 | 35 | |
| 15 | Screening for microalbuminuria in type 2 diabetes: a reconsideration. | 2 |
| 16 | 19 | |
| 17 | The utility of conventional dipsticks for urinary protein for screening of microalbuminuria in diabetic patients. | 6 |
| 18 | 6 | |
| 19 | 56 | |
| 20 | 5 |
About Chatchalit Rattarasarn
Chatchalit Rattarasarn is a scholar working on Endocrinology, Diabetes and Metabolism, Periodontics and Physiology, having authored 28 papers that have together received 791 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Diabetes Management and Research (9 papers) and Diabetes and associated disorders (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (506 citations), Periodontics (64 citations) and Genetics (210 citations). Chatchalit Rattarasarn has collaborated with scholars based in Thailand, Spain and United States. Frequent co-authors include Philip E. Cryer, Samuel Dagogo‐Jack, Supamai Soonthornpun, Worawong Setasuban, Rattana Leelawattana, Jeffery J. Zachwieja, Alan Geater, Rawee Teanpaisan, Gunnar Dahlén and Virasakdi Chongsuvivatwong. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes.
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.