J. Dinesh Kumar
Impact in
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- Cancer Cells and Metastasis
- Peptidase Inhibition and Analysis
Papers in
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- Wnt/β-catenin signaling in development and cancer 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)Martina Blunder (1 shared paper)Thomas Efferth (1 shared paper)Andrea Varró (15 shared papers)Graham J. Dockray (12 shared papers)László Tiszlavicz (7 shared papers)
- Journals
- Advances in Biological Regulation (2 papers)PLoS ONE (2 papers)American Journal of Physiology-Gastrointestinal and Liver Physiology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Carcinogenesis (1 paper)
- Partner nations
- United KingdomHungaryUnited States
In The Last Decade
J. Dinesh Kumar
21 papers receiving 940 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 102
- Oncology 178
- Molecular Biology 404
- Immunology 91
- Pharmacology 70
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 360 | |
| 2 | 2016 | 169 | |
| 3 | 2019 | 88 | |
| 4 | 2016 | 43 | |
| 5 | 2014 | 43 | |
| 6 | 2013 | 40 | |
| 7 | 2019 | 31 | |
| 8 | 2012 | 28 | |
| 9 | 2019 | 23 | |
| 10 | 2015 | 21 | |
| 11 | 2017 | 18 | |
| 12 | 2018 | 15 | |
| 13 | 2018 | 15 | |
| 14 | 2016 | 14 | |
| 15 | 2017 | 12 | |
| 16 | 2015 | 10 | |
| 17 | 2020 | 8 | |
| 18 | 2016 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2017 | 1 |
About J. Dinesh Kumar
J. Dinesh Kumar is a scholar working on Molecular Biology, Oncology, Surgery, Biophysics and Epidemiology, having authored 21 papers that have together received 949 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (3 papers), Galectins and Cancer Biology (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Cancer Cells and Metastasis (2 papers), Protease and Inhibitor Mechanisms (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and Spectroscopy Techniques in Biomedical and Chemical Research (2 papers). The work is most often cited by research in Cancer Research (102 citations), Oncology (178 citations), Molecular Biology (404 citations), Immunology (91 citations) and Pharmacology (70 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, Martina Blunder, Thomas Efferth, Andrea Varró, Graham J. Dockray, László Tiszlavicz, Zita Reisz and Robert J. Beynon. Their work appears in journals such as Advances in Biological Regulation, PLoS ONE, American Journal of Physiology-Gastrointestinal and Liver Physiology, Biochemical and Biophysical Research Communications and Carcinogenesis.
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.