Rakesh Arya
Impact in
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- Medicinal Plants and Neuroprotection
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- MicroRNA in disease regulation
Papers in
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- Extracellular vesicles in disease 4
- Wnt/β-catenin signaling in development and cancer 2
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- Tuberculosis Research and Epidemiology 3
- Co-authors
- Dipak Datta (10 shared papers)Sanjeev Meena (7 shared papers)Anup K. Singh (7 shared papers)Akhilesh Singh (7 shared papers)Ranjan Kumar Nanda (10 shared papers)Jiaur R. Gayen (5 shared papers)Olivier Dormond (1 shared paper)Priyanka Pandey (1 shared paper)
- Journals
- PLoS ONE (2 papers)International Journal of Molecular Sciences (2 papers)Frontiers in Immunology (2 papers)British Journal of Cancer (2 papers)Genes (2 papers)
- Partner nations
- IndiaUnited StatesSouth Korea
In The Last Decade
Rakesh Arya
35 papers receiving 754 citations
Peers
Comparison fields: 5 of 100
- Complementary and alternative medicine 69
- Cancer Research 96
- Molecular Biology 342
- Oncology 124
- Pharmacology 40
Countries citing papers authored by Rakesh Arya
This map shows the geographic impact of Rakesh Arya'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 Rakesh Arya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh Arya more than expected).
Fields of papers citing papers by Rakesh Arya
This network shows the impact of papers produced by Rakesh Arya. 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 Rakesh Arya. The network helps show where Rakesh Arya may publish in the future.
Co-authors
The 25 scholars most cited alongside Rakesh Arya, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 109 | |
| 2 | 2016 | 58 | |
| 3 | 2014 | 55 | |
| 4 | 2017 | 49 | |
| 5 | 2015 | 47 | |
| 6 | 2020 | 45 | |
| 7 | 2021 | 42 | |
| 8 | 2018 | 41 | |
| 9 | 2021 | 35 | |
| 10 | 2017 | 34 | |
| 11 | 2021 | 31 | |
| 12 | 2021 | 27 | |
| 13 | 2022 | 27 | |
| 14 | 2020 | 22 | |
| 15 | 2021 | 21 | |
| 16 | 2014 | 20 | |
| 17 | 2017 | 18 | |
| 18 | 2016 | 17 | |
| 19 | 2024 | 14 | |
| 20 | 2012 | 12 |
About Rakesh Arya
Rakesh Arya is a scholar working on Molecular Biology, Infectious Diseases, Complementary and alternative medicine, Cancer Research and Oncology, having authored 38 papers that have together received 777 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (4 papers), Medicinal Plants and Neuroprotection (3 papers), Tuberculosis Research and Epidemiology (3 papers), Essential Oils and Antimicrobial Activity (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cancer Cells and Metastasis (2 papers) and Hippo pathway signaling and YAP/TAZ (2 papers). The work is most often cited by research in Complementary and alternative medicine (69 citations), Cancer Research (96 citations), Molecular Biology (342 citations), Oncology (124 citations) and Pharmacology (40 citations). Rakesh Arya has collaborated with scholars based in India, United States and South Korea. Frequent co-authors include Dipak Datta, Sanjeev Meena, Anup K. Singh, Akhilesh Singh, Ranjan Kumar Nanda, Jiaur R. Gayen, Olivier Dormond, Priyanka Pandey, Chetan Sharma and Rama Kant Singh. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Frontiers in Immunology, British Journal of Cancer and Genes.
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.