Paresh Dandona
- Endocrinology, Diabetes and Metabolism top 0.05%
- Epidemiology top 0.2%
- Molecular Biology top 1%
- Physiology top 0.2%
- Surgery top 0.5%
- Co-authors
- Husam GhanimAhmad AljadaAjay ChaudhuriPriya MohantySandeep DhindsaRajesh GargJamie Y. JeremySanaa Abuaysheh
- Topics
- Diabetes Treatment and Management (65 papers)Adipokines, Inflammation, and Metabolic Diseases (55 papers)Diabetes Management and Research (43 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Paresh Dandona
488 papers receiving 24.1k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Endocrinology, Diabetes and Metabolism 8.6k
- Epidemiology 6.1k
- Molecular Biology 5.2k
- Physiology 5.0k
- Surgery 3.7k
Countries citing papers authored by Paresh Dandona
This map shows the geographic impact of Paresh Dandona'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 Paresh Dandona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paresh Dandona more than expected).
Fields of papers citing papers by Paresh Dandona
This network shows the impact of papers produced by Paresh Dandona. 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 Paresh Dandona. The network helps show where Paresh Dandona may publish in the future.
Co-authorship network of co-authors of Paresh Dandona
This figure shows the co-authorship network connecting the top 25 collaborators of Paresh Dandona. A scholar is included among the top collaborators of Paresh Dandona 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 Paresh Dandona. Paresh Dandona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The intake of fiber suppresses the high fat high carbohydrate meal induced endotoxemia, oxidative stress and inflammation | 1 |
| 2 | 12 | |
| 3 | 23 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | Stimulatory effect of immunoglobulins and Fc fragments on glucose oxidation and glucose transport by adipocytes. | 3 |
| 7 | 55 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 10 | |
| 13 | 56 | |
| 14 | 2 | |
| 15 | 6 | |
| 16 | 149 | |
| 17 | 12 | |
| 18 | 7 | |
| 19 | 137 | |
| 20 | 38 |
About Paresh Dandona
Paresh Dandona is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Biochemistry, having authored 496 papers that have together received 25.2k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (65 papers), Adipokines, Inflammation, and Metabolic Diseases (55 papers) and Diabetes Management and Research (43 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (8.6k citations), Physiology (5.0k citations) and Epidemiology (6.1k citations). Paresh Dandona has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Husam Ghanim, Ahmad Aljada, Ajay Chaudhuri, Priya Mohanty, Sandeep Dhindsa, Rajesh Garg, Jamie Y. Jeremy, Sanaa Abuaysheh, Tufail Syed and D.P. Mikhailidis. Their work appears in journals such as The Lancet, Circulation and Journal of Clinical Oncology.
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.