Rakesh Sahay
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 5%
- Molecular Biology
- Surgery top 10%
- Epidemiology top 10%
- Co-authors
- Sanjay KalraManisha SahayAmbikaGopalakrishnan UnnikrishnanMathew JohnGanapathi BantwalDiane E. BrockmanAnnie EisW. Kossenjans
- Topics
- Diabetes Management and Research (59 papers)Diabetes Treatment and Management (41 papers)Diabetes Management and Education (27 papers)
- Partner nations
- IndiaUnited StatesPakistan
In The Last Decade
Rakesh Sahay
204 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 146
- Endocrinology, Diabetes and Metabolism 1.4k
- Physiology 407
- Molecular Biology 369
- Surgery 352
- Epidemiology 336
Countries citing papers authored by Rakesh Sahay
This map shows the geographic impact of Rakesh Sahay'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 Rakesh Sahay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh Sahay more than expected).
Fields of papers citing papers by Rakesh Sahay
This network shows the impact of papers produced by Rakesh Sahay. 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 Rakesh Sahay. The network helps show where Rakesh Sahay may publish in the future.
Co-authorship network of co-authors of Rakesh Sahay
This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Sahay. A scholar is included among the top collaborators of Rakesh Sahay 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 Rakesh Sahay. Rakesh Sahay 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 | 3 | |
| 4 | 14 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 12 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | Expert Group Consensus Opinion: Role of Anti-inflammatory Agents in the Management of Type-2 Diabetes (T2D). | 15 |
| 15 | 3 | |
| 16 | 1 | |
| 17 | A Study of Clinical Profile of Patients presenting with Complications of Acute Febrile Illnesses During Monsoon. | 3 |
| 18 | Indian College of Physicians (ICP) Position Statement on Pharmacovigilance. | 4 |
| 19 | Initiation of insulin aspart to Indian subjects on OADs show significant improvement in glycaemic outcomes: the A1chieve observational study. | 1 |
| 20 | Eight cases of bladder cancer in pioglitazone users from India. | 8 |
About Rakesh Sahay
Rakesh Sahay is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy and Physiology, having authored 230 papers that have together received 2.9k indexed citations. Recurring topics across this work include Diabetes Management and Research (59 papers), Diabetes Treatment and Management (41 papers) and Diabetes Management and Education (27 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Obstetrics and Gynecology (238 citations) and Physiology (407 citations). Rakesh Sahay has collaborated with scholars based in India, United States and Pakistan. Frequent co-authors include Sanjay Kalra, Manisha Sahay, AmbikaGopalakrishnan Unnikrishnan, Mathew John, Ganapathi Bantwal, Diane E. Brockman, Annie Eis, W. Kossenjans, Leslie Myatt and Neeraj Tewari. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes.
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.