Ajay Chaudhuri
- Endocrinology, Diabetes and Metabolism top 0.2%
- Epidemiology top 1%
- Molecular Biology top 5%
- Physiology top 1%
- Pharmacology top 0.5%
- Co-authors
- Paresh DandonaHusam GhanimPriya MohantySandeep DhindsaAhmad AljadaRajesh GargSanaa AbuayshehKelly Korzeniewski
- Topics
- Diabetes Treatment and Management (29 papers)Adipokines, Inflammation, and Metabolic Diseases (16 papers)Hormonal and reproductive studies (15 papers)
- Journals
- CirculationJournal of the American College of CardiologyAmerican Journal of Clinical Nutrition
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Ajay Chaudhuri
101 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Endocrinology, Diabetes and Metabolism 3.8k
- Epidemiology 1.6k
- Molecular Biology 1.6k
- Physiology 1.6k
- Pharmacology 1.1k
Countries citing papers authored by Ajay Chaudhuri
This map shows the geographic impact of Ajay Chaudhuri'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 Ajay Chaudhuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajay Chaudhuri more than expected).
Fields of papers citing papers by Ajay Chaudhuri
This network shows the impact of papers produced by Ajay Chaudhuri. 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 Ajay Chaudhuri. The network helps show where Ajay Chaudhuri may publish in the future.
Co-authorship network of co-authors of Ajay Chaudhuri
This figure shows the co-authorship network connecting the top 25 collaborators of Ajay Chaudhuri. A scholar is included among the top collaborators of Ajay Chaudhuri 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 Ajay Chaudhuri. Ajay Chaudhuri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 13 | |
| 3 | 17 | |
| 4 | 22 | |
| 5 | 16 | |
| 6 | 14 | |
| 7 | 14 | |
| 8 | 235 | |
| 9 | 33 | |
| 10 | 202 | |
| 11 | 35 | |
| 12 | 129 | |
| 13 | 1 | |
| 14 | 122 | |
| 15 | 36 | |
| 16 | 140 | |
| 17 | 36 | |
| 18 | 48 | |
| 19 | 25 | |
| 20 | 44 |
About Ajay Chaudhuri
Ajay Chaudhuri is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacology and Geriatrics and Gerontology, having authored 103 papers that have together received 7.6k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (29 papers), Adipokines, Inflammation, and Metabolic Diseases (16 papers) and Hormonal and reproductive studies (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.8k citations), Pharmacology (1.1k citations) and Reproductive Medicine (540 citations). Ajay Chaudhuri has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Paresh Dandona, Husam Ghanim, Priya Mohanty, Sandeep Dhindsa, Ahmad Aljada, Rajesh Garg, Sanaa Abuaysheh, Kelly Korzeniewski, Arindam Bandyopadhyay and Antoine Makdissi. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and American Journal of Clinical Nutrition.
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.