J. Dinesh Kumar
Impact in
-
- Cancer Cells and Metastasis
- Peptidase Inhibition and Analysis
Papers in
-
- Advanced Fluorescence Microscopy Techniques 2
- Oncology 5
- Peptidase Inhibition and Analysis 3
- Cancer Cells and Metastasis 2
- Co-authors
- Nicholas R. Leslie (2 shared papers)Miguel A. Hermida (2 shared papers)P. Poornima (2 shared papers)Thomas Efferth (1 shared paper)Martina Blunder (1 shared paper)Andrea Varró (15 shared papers)Graham J. Dockray (12 shared papers)László Tiszlavicz (7 shared papers)
- Journals
- American Journal of Physiology-Gastrointestinal and Liver Physiology (2 papers)Advances in Biological Regulation (2 papers)PLoS ONE (2 papers)Journal of Proteome Research (1 paper)Peptides (1 paper)
- Partner nations
- United KingdomHungaryUnited States
In The Last Decade
J. Dinesh Kumar
22 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 106
- Oncology 184
- Molecular Biology 444
- Genetics 53
- Pharmacology 41
Countries citing papers authored by J. Dinesh Kumar
This map shows the geographic impact of J. Dinesh Kumar'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 J. Dinesh Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Dinesh Kumar more than expected).
Fields of papers citing papers by J. Dinesh Kumar
This network shows the impact of papers produced by J. Dinesh Kumar. 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 J. Dinesh Kumar. The network helps show where J. Dinesh Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Dinesh Kumar, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 376 | |
| 2 | 2016 | 191 | |
| 3 | 2019 | 91 | |
| 4 | 2016 | 46 | |
| 5 | 2017 | 46 | |
| 6 | 2014 | 45 | |
| 7 | 2013 | 42 | |
| 8 | 2019 | 33 | |
| 9 | 2012 | 30 | |
| 10 | 2019 | 22 | |
| 11 | 2015 | 21 | |
| 12 | 2017 | 17 | |
| 13 | 2016 | 15 | |
| 14 | 2018 | 15 | |
| 15 | 2018 | 13 | |
| 16 | 2015 | 12 | |
| 17 | 2017 | 12 | |
| 18 | 2020 | 10 | |
| 19 | 2016 | 5 | |
| 20 | 2018 | 4 |
About J. Dinesh Kumar
J. Dinesh Kumar is a scholar working on Biophysics, Oncology, Cancer Research, Molecular Biology and Immunology, having authored 22 papers that have together received 1.0k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Protease and Inhibitor Mechanisms (2 papers), Gastric Cancer Management and Outcomes (2 papers), Galectins and Cancer Biology (2 papers), 3D Printing in Biomedical Research (2 papers), Near-Field Optical Microscopy (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (106 citations), Oncology (184 citations), Molecular Biology (444 citations), Genetics (53 citations) and Pharmacology (41 citations). J. Dinesh Kumar has collaborated with scholars based in United Kingdom, Hungary and United States. Frequent co-authors include Nicholas R. Leslie, Miguel A. Hermida, P. Poornima, Thomas Efferth, Martina Blunder, Andrea Varró, Graham J. Dockray, László Tiszlavicz, Zita Reisz and Robert Jeffrey Beynon. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Advances in Biological Regulation, PLoS ONE, Journal of Proteome Research and Peptides.
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.