Ajinkya Pawar
- Economics and Econometrics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Rheumatology top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Geriatrics and Gerontology top 1%
- Co-authors
- Sebastian SchneeweißRobert J. GlynnRishi DesaiDae Hyun KimSeoyoung C. KimLily G. BessetteElisabetta PatornoHemin Lee
- Topics
- Diabetes Treatment and Management (20 papers)Health Systems, Economic Evaluations, Quality of Life (10 papers)Rheumatoid Arthritis Research and Therapies (9 papers)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Ajinkya Pawar
52 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 106
- Economics and Econometrics 336
- Endocrinology, Diabetes and Metabolism 288
- Rheumatology 269
- Cardiology and Cardiovascular Medicine 264
- Geriatrics and Gerontology 250
Countries citing papers authored by Ajinkya Pawar
This map shows the geographic impact of Ajinkya Pawar'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 Ajinkya Pawar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajinkya Pawar more than expected).
Fields of papers citing papers by Ajinkya Pawar
This network shows the impact of papers produced by Ajinkya Pawar. 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 Ajinkya Pawar. The network helps show where Ajinkya Pawar may publish in the future.
Co-authorship network of co-authors of Ajinkya Pawar
This figure shows the co-authorship network connecting the top 25 collaborators of Ajinkya Pawar. A scholar is included among the top collaborators of Ajinkya Pawar 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 Ajinkya Pawar. Ajinkya Pawar 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 | 4 | |
| 3 | 3 | |
| 4 | 79 | |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 18 | |
| 8 | 41 | |
| 9 | 47 | |
| 10 | 80 | |
| 11 | Abstract 13655: Healthcare Resource Utilization Among Empagliflozin Initiators With and Without Cardiovascular Disease versus DPP4i in a Commercially-Insured Routine Care Population: An Analysis From the Empagliflozin Comparative Effectiveness and Safety (EMPRISE) Study | 2 |
| 12 | 0 | |
| 13 | Abstract 11928: Cardiovascular Effectiveness of Empagliflozin Compared to DPP4 Inhibitors and to GLP1 Receptor Agonists: Interim Analysis From the Empagliflozin Comparative Effectiveness and Safety (EMPRISE) Study | 1 |
| 14 | 4 | |
| 15 | 40 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 20 | |
| 19 | 1 | |
| 20 | 1 |
About Ajinkya Pawar
Ajinkya Pawar is a scholar working on Geriatrics and Gerontology, Internal Medicine and Endocrinology, Diabetes and Metabolism, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (20 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers) and Rheumatoid Arthritis Research and Therapies (9 papers). The work is most often cited by research in Geriatrics and Gerontology (250 citations), Rheumatology (269 citations) and Internal Medicine (67 citations). Ajinkya Pawar has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Sebastian Schneeweiß, Robert J. Glynn, Rishi Desai, Dae Hyun Kim, Seoyoung C. Kim, Lily G. Bessette, Elisabetta Patorno, Hemin Lee, Jessica M. Franklin and Nileesa Gautam. Their work appears in journals such as JAMA, Circulation and Annals of Internal 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.