Kapil Mehta
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 0.5%
- Oncology top 2%
- Immunology top 2%
- Epidemiology top 2%
- Co-authors
- Gabriel Lopez‐BeresteinFabio MalavasiJansina Y. FokBharat B. AggarwalR. L. JulianoAmit Kumar VermaSantosh KumarShahid Umar
- Topics
- Blood properties and coagulation (54 papers)Retinoids in leukemia and cellular processes (34 papers)Calcium signaling and nucleotide metabolism (19 papers)
- Partner nations
- United StatesIndiaItaly
In The Last Decade
Kapil Mehta
173 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 3.3k
- Pulmonary and Respiratory Medicine 2.7k
- Oncology 1.3k
- Immunology 1.1k
- Epidemiology 1.1k
Countries citing papers authored by Kapil Mehta
This map shows the geographic impact of Kapil Mehta'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 Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kapil Mehta more than expected).
Fields of papers citing papers by Kapil Mehta
This network shows the impact of papers produced by Kapil Mehta. 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 Mehta. The network helps show where Kapil Mehta may publish in the future.
Co-authorship network of co-authors of Kapil Mehta
This figure shows the co-authorship network connecting the top 25 collaborators of Kapil Mehta. A scholar is included among the top collaborators of Kapil Mehta 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 Kapil Mehta. Kapil Mehta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 38 | |
| 3 | 0 | |
| 4 | 88 | |
| 5 | 25 | |
| 6 | 33 | |
| 7 | 68 | |
| 8 | 31 | |
| 9 | Transglutaminases of the lower organisms. Across the link between life and death | 3 |
| 10 | 21 | |
| 11 | 50 | |
| 12 | 160 | |
| 13 | 32 | |
| 14 | 16 | |
| 15 | 43 | |
| 16 | 95 | |
| 17 | 25 | |
| 18 | Tumor cytotoxicity of human peripheral blood monocytes activated by muramyl dipeptide analogues | 1 |
| 19 | Effect of irradiation on the infectivity and immunogenicity of larvae of Litomosoides carinii. | 6 |
| 20 | Suppression of mitogenic response to PHA and Con A in bancroftian filariasis. | 3 |
About Kapil Mehta
Kapil Mehta is a scholar working on Physiology, Pulmonary and Respiratory Medicine and Parasitology, having authored 178 papers that have together received 9.5k indexed citations. Recurring topics across this work include Blood properties and coagulation (54 papers), Retinoids in leukemia and cellular processes (34 papers) and Calcium signaling and nucleotide metabolism (19 papers). The work is most often cited by research in Physiology (833 citations), Molecular Medicine (581 citations) and Pulmonary and Respiratory Medicine (2.7k citations). Kapil Mehta has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Gabriel Lopez‐Berestein, Fabio Malavasi, Jansina Y. Fok, Bharat B. Aggarwal, R. L. Juliano, Amit Kumar Verma, Santosh Kumar, Shahid Umar, Ayşegül A. Şahin and Lingegowda S. Mangala. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.