Prem Kapur

667 citations
48 papers · 416 · h-index 13

Impact in

Papers in

Prem Kapur

46 papers receiving 397 citations

Peers

Prem Kapur
Comparison fields: 5 of 96
  • Geriatrics and Gerontology 52
  • Toxicology 44
  • Family Practice 16
  • Applied Microbiology and Biotechnology 15
  • Endocrinology, Diabetes and Metabolism 80
Replace Yirga Legesse Niriayo with:
Yirga Legesse Niriayo Ethiopia
Yet Hoi Hong Malaysia
Alemseged Beyene Berha Ethiopia
Farhad Najmeddin Iran
Minyahil Alebachew Woldu Ethiopia
Tadele Mekuriya Yadesa Uganda
Sabariah Noor Harun Malaysia
Ratinder Jhaj India
Patrick Hindlet France
V. Marešová Czechia
Prem Kapur relative to Yirga Legesse Niriayo Ethiopia Yirga Legesse Niriayo's profile →
Citations per field
00.5×2.7×
Yirga Legesse Niriayo · 1×
Citations per year

Countries citing papers authored by Prem Kapur

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Prem Kapur Line = papers co-authored together Prem Kapur links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201042
2 201140
3 201730
4 200721
5 202021
6 201420
7 201417
8 201216
9 201915
10 202014
11 202013
12 201912
13 200912
14 201711
15 201010
16 20219
17 20199
18 20229
19 20198
20 20148

About Prem Kapur

Prem Kapur is a scholar working on Epidemiology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Toxicology, having authored 48 papers that have together received 416 indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (6 papers), Tuberculosis Research and Epidemiology (5 papers), Bacterial Identification and Susceptibility Testing (4 papers), Diabetes Management and Research (4 papers), Diabetes Management and Education (4 papers), Mycobacterium research and diagnosis (3 papers), Cardiac Fibrosis and Remodeling (3 papers) and Pharmaceutical Practices and Patient Outcomes (3 papers). The work is most often cited by research in Geriatrics and Gerontology (52 citations), Toxicology (44 citations), Family Practice (16 citations), Applied Microbiology and Biotechnology (15 citations) and Endocrinology, Diabetes and Metabolism (80 citations). Prem Kapur has collaborated with scholars based in India, Saudi Arabia and Pakistan. Frequent co-authors include Mohd. Aqil, Manju Sharma, Krishna Kolappa Pillai, KK Pillai, Nidhi Agarwal, Pinaki Ghosh, Mohammad Adil, K.K. Pillai, M. S. Alam and Rashid Ali Khan. Their work appears in journals such as Metabolism, Diabetes Metabolic Syndrome and Obesity, Therapeutics and Clinical Risk Management, Tuberculosis and Pharmacy Practice.

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.

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