Pankaj Gupta
- Cardiology and Cardiovascular Medicine top 2%
- Family Practice top 0.5%
- Infectious Diseases top 10%
- Epidemiology
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Prashanth PatelMaciej TomaszewskiBryan WilliamsKaren SlamaAnne FanningDonald A. EnarsonCandice RayKristen M. Hassmiller
- Topics
- Blood Pressure and Hypertension Studies (23 papers)Medication Adherence and Compliance (20 papers)Cardiovascular Function and Risk Factors (6 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United KingdomIndiaUnited States
In The Last Decade
Pankaj Gupta
59 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 114
- Cardiology and Cardiovascular Medicine 739
- Family Practice 344
- Infectious Diseases 232
- Epidemiology 200
- Endocrinology, Diabetes and Metabolism 166
Countries citing papers authored by Pankaj Gupta
This map shows the geographic impact of Pankaj Gupta'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 Pankaj Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pankaj Gupta more than expected).
Fields of papers citing papers by Pankaj Gupta
This network shows the impact of papers produced by Pankaj Gupta. 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 Pankaj Gupta. The network helps show where Pankaj Gupta may publish in the future.
Co-authorship network of co-authors of Pankaj Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Pankaj Gupta. A scholar is included among the top collaborators of Pankaj Gupta 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 Pankaj Gupta. Pankaj Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | Nonadherence in Hypertension: How to Develop and Implement Chemical Adherence Testing | 35 |
| 6 | 17 | |
| 7 | 8 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 98 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 5 | |
| 16 | 54 | |
| 17 | 31 | |
| 18 | 22 | |
| 19 | 258 | |
| 20 | 0 |
About Pankaj Gupta
Pankaj Gupta is a scholar working on Family Practice, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 63 papers that have together received 1.4k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (23 papers), Medication Adherence and Compliance (20 papers) and Cardiovascular Function and Risk Factors (6 papers). The work is most often cited by research in Family Practice (344 citations), Cardiology and Cardiovascular Medicine (739 citations) and Geriatrics and Gerontology (113 citations). Pankaj Gupta has collaborated with scholars based in United Kingdom, India and United States. Frequent co-authors include Prashanth Patel, Maciej Tomaszewski, Bryan Williams, Karen Slama, Anne Fanning, Donald A. Enarson, Candice Ray, Kristen M. Hassmiller, Adrian G. Stanley and Gaurav S. Gulsin. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.
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.