Neda Laiteerapong
- Endocrinology, Diabetes and Metabolism top 1%
- General Health Professions top 2%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Physiology top 10%
- Co-authors
- Elbert S. HuangAndrew J. KarterHoward H. MoffetJennifer Y. LiuPriya M. JohnYue GaoSandra A. HamM. Reza Skandari
- Topics
- Diabetes Management and Research (27 papers)Diabetes Treatment and Management (25 papers)Diabetes Management and Education (19 papers)
- Journals
- JAMASHILAP Revista de lepidopterologíaAnnals of Internal Medicine
- Partner nations
- United StatesUnited KingdomVietnam
In The Last Decade
Neda Laiteerapong
98 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Endocrinology, Diabetes and Metabolism 1.2k
- General Health Professions 492
- Epidemiology 381
- Public Health, Environmental and Occupational Health 297
- Physiology 225
Countries citing papers authored by Neda Laiteerapong
This map shows the geographic impact of Neda Laiteerapong'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 Neda Laiteerapong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neda Laiteerapong more than expected).
Fields of papers citing papers by Neda Laiteerapong
This network shows the impact of papers produced by Neda Laiteerapong. 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 Neda Laiteerapong. The network helps show where Neda Laiteerapong may publish in the future.
Co-authorship network of co-authors of Neda Laiteerapong
This figure shows the co-authorship network connecting the top 25 collaborators of Neda Laiteerapong. A scholar is included among the top collaborators of Neda Laiteerapong 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 Neda Laiteerapong. Neda Laiteerapong 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 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 6 | |
| 15 | 0 | |
| 16 | 8 | |
| 17 | 23 | |
| 18 | 12 | |
| 19 | The Legacy Effect in Type 2 Diabetes: Impact of Early Glycemic Control on Future Complications (The Diabetes & Aging Study)breakdown → | 364 |
| 20 | Patients who self-monitor blood glucose and their unused testing results. | 19 |
About Neda Laiteerapong
Neda Laiteerapong is a scholar working on Family Practice, Endocrinology, Diabetes and Metabolism and Geriatrics and Gerontology, having authored 106 papers that have together received 2.4k indexed citations. Recurring topics across this work include Diabetes Management and Research (27 papers), Diabetes Treatment and Management (25 papers) and Diabetes Management and Education (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Family Practice (67 citations) and Geriatrics and Gerontology (117 citations). Neda Laiteerapong has collaborated with scholars based in United States, United Kingdom and Vietnam. Frequent co-authors include Elbert S. Huang, Andrew J. Karter, Howard H. Moffet, Jennifer Y. Liu, Priya M. John, Yue Gao, Sandra A. Ham, M. Reza Skandari, Cynthia M. Boyd and Marshall H. Chin. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and Annals of Internal Medicine.
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.