Kapil Dev
Impact in
- Urology top 2%
- Hair Growth and Disorders
- Dermatology top 5%
- Dermatologic Treatments and Research
Papers in
-
- Glutathione Transferases and Polymorphisms 4
- Pluripotent Stem Cells Research 4
- Natural product bioactivities and synthesis 3
- Surgery 7
- Co-authors
- Wasay Mohiuddin Shaikh Qureshi (2 shared papers)Jaroslav Mokrý (2 shared papers)Daniel C. Diaz (1 shared paper)Rishikaysh Pisal (1 shared paper)Stanislav Filip (1 shared paper)Pankaj Tyagi (1 shared paper)Krishan K. Selwal (1 shared paper)Anita Yadav (10 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (2 papers)International Journal of Molecular Sciences (2 papers)Biomedicines (1 paper)Tissue and Cell (1 paper)Calcified Tissue International (1 paper)
- Partner nations
- IndiaCzechiaUnited States
In The Last Decade
Kapil Dev
30 papers receiving 655 citations
Peers
Comparison fields: 5 of 96
- Urology 213
- Dermatology 71
- Cell Biology 95
- Cancer Research 69
- Rehabilitation 27
Countries citing papers authored by Kapil Dev
This map shows the geographic impact of Kapil Dev'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 Kapil Dev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kapil Dev more than expected).
Fields of papers citing papers by Kapil Dev
This network shows the impact of papers produced by Kapil Dev. 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 Kapil Dev. The network helps show where Kapil Dev may publish in the future.
Co-authors
The 25 scholars most cited alongside Kapil Dev, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 292 | |
| 2 | 2014 | 84 | |
| 3 | 2022 | 46 | |
| 4 | 2011 | 29 | |
| 5 | 2014 | 27 | |
| 6 | 2013 | 20 | |
| 7 | 2022 | 16 | |
| 8 | Occurrence of tumours in domestic animals. | 2006 | 15 |
| 9 | 2011 | 15 | |
| 10 | 2011 | 15 | |
| 11 | 2015 | 14 | |
| 12 | 2012 | 13 | |
| 13 | 2012 | 13 | |
| 14 | 2021 | 12 | |
| 15 | 2011 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2012 | 8 | |
| 18 | 2021 | 8 | |
| 19 | 2017 | 7 | |
| 20 | 2011 | 6 |
About Kapil Dev
Kapil Dev is a scholar working on Molecular Biology, Surgery, Cancer Research, Genetics and Genetics, having authored 34 papers that have together received 672 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Glutathione Transferases and Polymorphisms (4 papers), Pluripotent Stem Cells Research (4 papers), Animal Genetics and Reproduction (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Natural product bioactivities and synthesis (3 papers), Phytochemicals and Medicinal Plants (3 papers) and Essential Oils and Antimicrobial Activity (3 papers). The work is most often cited by research in Urology (213 citations), Dermatology (71 citations), Cell Biology (95 citations), Cancer Research (69 citations) and Rehabilitation (27 citations). Kapil Dev has collaborated with scholars based in India, Czechia and United States. Frequent co-authors include Wasay Mohiuddin Shaikh Qureshi, Jaroslav Mokrý, Daniel C. Diaz, Rishikaysh Pisal, Stanislav Filip, Pankaj Tyagi, Krishan K. Selwal, Anita Yadav, Anıl Kumar and Atefeh Rabiee. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, International Journal of Molecular Sciences, Biomedicines, Tissue and Cell and Calcified Tissue International.
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.