Sanjay Agarwal
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Epidemiology
- Surgery
- Cell Biology
- Co-authors
- Ian G. StiellDiku MandaviaJ. Berth‐JonesA. IlchyshynImran AhmedDavid J. GawkrodgerAnita TakwaleStephen E. Borst
- Topics
- Diabetes Management and Research (11 papers)Diabetes and associated disorders (8 papers)Diabetes Treatment and Management (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaBritish Journal of DermatologyAnnals of Emergency Medicine
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Sanjay Agarwal
34 papers receiving 395 citations
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 117
- Cardiology and Cardiovascular Medicine 101
- Epidemiology 84
- Surgery 56
- Cell Biology 52
Countries citing papers authored by Sanjay Agarwal
This map shows the geographic impact of Sanjay Agarwal'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 Sanjay Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Agarwal more than expected).
Fields of papers citing papers by Sanjay Agarwal
This network shows the impact of papers produced by Sanjay Agarwal. 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 Sanjay Agarwal. The network helps show where Sanjay Agarwal may publish in the future.
Co-authorship network of co-authors of Sanjay Agarwal
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Agarwal. A scholar is included among the top collaborators of Sanjay Agarwal 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 Sanjay Agarwal. Sanjay Agarwal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | Management of Hyperglycemia in COVID-19 and Post-COVID-19 Syndrome - Proposed Guidelines for India. | 2 |
| 8 | 13 | |
| 9 | 8 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | A Study of Prevalence of Hypertension and Pre Hypertension and its Associated Risk Factors in Rural Area of Madhya Pradesh | 2 |
| 13 | 4 | |
| 14 | Effects of Salinity on Leaf and Grain Protein in Some Genotypes of Oat (Avena sativa L.) | 3 |
| 15 | 13 | |
| 16 | 56 | |
| 17 | 1 | |
| 18 | 30 | |
| 19 | 6 | |
| 20 | 89 |
About Sanjay Agarwal
Sanjay Agarwal is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Dermatology, having authored 40 papers that have together received 414 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Diabetes and associated disorders (8 papers) and Diabetes Treatment and Management (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (117 citations), Dermatology (46 citations) and Cardiology and Cardiovascular Medicine (101 citations). Sanjay Agarwal has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Ian G. Stiell, Diku Mandavia, J. Berth‐Jones, A. Ilchyshyn, Imran Ahmed, David J. Gawkrodger, Anita Takwale, Stephen E. Borst, Jared W. Skinner and Mark D. Peterson. Their work appears in journals such as SHILAP Revista de lepidopterología, British Journal of Dermatology and Annals of Emergency 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.