Prem Kapur
Impact in
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
Papers in
-
- Pharmacovigilance and Adverse Drug Reactions 7
-
- Tuberculosis Research and Epidemiology 5
- Amoebic Infections and Treatments 2
- Co-authors
- Mohd. Aqil (9 shared papers)K.K. Pillai (7 shared papers)Manju Lata Sharma (11 shared papers)Krishna Kolappa Pillai (6 shared papers)Nidhi Bharal Agarwal (9 shared papers)Mohammad Adil (5 shared papers)Pinaki Ghosh (4 shared papers)M. S. Alam (2 shared papers)
- Journals
- Metabolism (2 papers)Therapeutics and Clinical Risk Management (2 papers)Diabetes Metabolic Syndrome and Obesity (2 papers)Patient Preference and Adherence (1 paper)Scientific Reports (1 paper)
- Partner nations
- IndiaSaudi ArabiaPakistan
In The Last Decade
Prem Kapur
44 papers receiving 396 citations
Peers
Comparison fields: 5 of 56
- Toxicology 44
- Family Practice 7
- Endocrinology, Diabetes and Metabolism 55
- Molecular Medicine 15
- Parasitology 16
Countries citing papers authored by Prem Kapur
This map shows the geographic impact of Prem Kapur'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 Prem Kapur with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prem Kapur more than expected).
Fields of papers citing papers by Prem Kapur
This network shows the impact of papers produced by Prem Kapur. 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 Prem Kapur. The network helps show where Prem Kapur may publish in the future.
Co-authors
The 25 scholars most cited alongside Prem Kapur, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 42 | |
| 2 | 2011 | 40 | |
| 3 | 2017 | 30 | |
| 4 | 2020 | 25 | |
| 5 | 2007 | 23 | |
| 6 | 2014 | 20 | |
| 7 | 2014 | 18 | |
| 8 | 2019 | 16 | |
| 9 | 2020 | 16 | |
| 10 | 2012 | 15 | |
| 11 | 2019 | 15 | |
| 12 | 2009 | 13 | |
| 13 | 2020 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2017 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2019 | 11 | |
| 18 | 2010 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2014 | 8 |
About Prem Kapur
Prem Kapur is a scholar working on Toxicology, Infectious Diseases, Endocrinology, Diabetes and Metabolism, Experimental and Cognitive Psychology and Molecular Medicine, having authored 48 papers that have together received 441 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (7 papers), Tuberculosis Research and Epidemiology (5 papers), Diabetes Treatment and Management (5 papers), Sleep and related disorders (3 papers), Amoebic Infections and Treatments (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Ethics in Clinical Research (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Toxicology (44 citations), Family Practice (7 citations), Endocrinology, Diabetes and Metabolism (55 citations), Molecular Medicine (15 citations) and Parasitology (16 citations). Prem Kapur has collaborated with scholars based in India, Saudi Arabia and Pakistan. Frequent co-authors include Mohd. Aqil, K.K. Pillai, Manju Lata Sharma, Krishna Kolappa Pillai, Nidhi Bharal Agarwal, Mohammad Adil, Pinaki Ghosh, M. S. Alam, Ayan Kumar Das and Mridu Dudeja. Their work appears in journals such as Metabolism, Therapeutics and Clinical Risk Management, Diabetes Metabolic Syndrome and Obesity, Patient Preference and Adherence and Scientific Reports.
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.