Dina Shrestha
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Physiology
- Genetics
- Public Health, Environmental and Occupational Health
- Co-authors
- Sanjay KalraFatema JawadTint Swe LattSarita BajajNoel SomasundaramRakesh SahayNajmul IslamThan Than Aye
- Topics
- Diabetes Management and Research (8 papers)Diabetes Management and Education (6 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaCurrent Diabetes ReportsEndocrine Practice
- Partner nations
- NepalIndiaBangladesh
In The Last Decade
Dina Shrestha
19 papers receiving 179 citations
Peers
Comparison fields: 5 of 62
- Endocrinology, Diabetes and Metabolism 119
- Epidemiology 34
- Physiology 27
- Genetics 26
- Public Health, Environmental and Occupational Health 24
Countries citing papers authored by Dina Shrestha
This map shows the geographic impact of Dina Shrestha'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 Dina Shrestha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dina Shrestha more than expected).
Fields of papers citing papers by Dina Shrestha
This network shows the impact of papers produced by Dina Shrestha. 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 Dina Shrestha. The network helps show where Dina Shrestha may publish in the future.
Co-authorship network of co-authors of Dina Shrestha
This figure shows the co-authorship network connecting the top 25 collaborators of Dina Shrestha. A scholar is included among the top collaborators of Dina Shrestha 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 Dina Shrestha. Dina Shrestha 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 23 | |
| 9 | The Lipo- Phenotypic Screening Tool for Familial Hypercholesterolaemia. | 0 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | South Asian consensus guideline: Use of GLP-1 receptor agonists during Ramadan: Update 2016 Revised Guidelines on the use of GLP-1A in Ramadan. | 7 |
| 13 | 5 | |
| 14 | A Study of Information Systems Programs Accredited by ABET In Relation to IS 2010 | 3 |
| 15 | 28 | |
| 16 | 59 | |
| 17 | 2 | |
| 18 | 13 | |
| 19 | 2 | |
| 20 | 20 |
About Dina Shrestha
Dina Shrestha is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy and Otorhinolaryngology, having authored 29 papers that have together received 189 indexed citations. Recurring topics across this work include Diabetes Management and Research (8 papers), Diabetes Management and Education (6 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (119 citations), Pharmacy (13 citations) and Family Practice (5 citations). Dina Shrestha has collaborated with scholars based in Nepal, India and Bangladesh. Frequent co-authors include Sanjay Kalra, Fatema Jawad, Tint Swe Latt, Sarita Bajaj, Noel Somasundaram, Rakesh Sahay, Najmul Islam, Than Than Aye, Aswathy Sreedevi and Hajera Mahtab. Their work appears in journals such as SHILAP Revista de lepidopterología, Current Diabetes Reports and Endocrine Practice.
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.