Nishant Shah
- Cardiology and Cardiovascular Medicine top 5%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Haitham M. AhmedHaris RiazTariq Jamal SiddiqiMuhammad UsmanFarouk MookadamAnn Marie NávarAmit GoyalSadiya S. Khan
- Topics
- Lipoproteins and Cardiovascular Health (23 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers)Health Systems, Economic Evaluations, Quality of Life (7 papers)
- Cited by
- Cardiology and Cardiovascular MedicineInternal MedicineEndocrinology, Diabetes and Metabolism
- Journals
- CirculationSHILAP Revista de lepidopterologíaJournal of the American College of Cardiology
- Partner nations
- United StatesPhilippinesSwitzerland
In The Last Decade
Nishant Shah
67 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Cardiology and Cardiovascular Medicine 485
- Surgery 283
- Endocrinology, Diabetes and Metabolism 182
- Physiology 146
- Public Health, Environmental and Occupational Health 146
Countries citing papers authored by Nishant Shah
This map shows the geographic impact of Nishant Shah'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 Nishant Shah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nishant Shah more than expected).
Fields of papers citing papers by Nishant Shah
This network shows the impact of papers produced by Nishant Shah. 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 Nishant Shah. The network helps show where Nishant Shah may publish in the future.
Co-authorship network of co-authors of Nishant Shah
This figure shows the co-authorship network connecting the top 25 collaborators of Nishant Shah. A scholar is included among the top collaborators of Nishant Shah 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 Nishant Shah. Nishant Shah 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 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 45 | |
| 13 | 2 | |
| 14 | 31 | |
| 15 | 8 | |
| 16 | 13 | |
| 17 | 5 | |
| 18 | 31 | |
| 19 | 22 | |
| 20 | 23 |
About Nishant Shah
Nishant Shah is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (23 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers) and Health Systems, Economic Evaluations, Quality of Life (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (485 citations), Internal Medicine (43 citations) and Endocrinology, Diabetes and Metabolism (182 citations). Nishant Shah has collaborated with scholars based in United States, Philippines and Switzerland. Frequent co-authors include Haitham M. Ahmed, Haris Riaz, Tariq Jamal Siddiqi, Muhammad Usman, Farouk Mookadam, Ann Marie Návar, Amit Goyal, Sadiya S. Khan, Muhammad Shahzeb Khan and Richard A. Krasuski. Their work appears in journals such as Circulation, 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.