Devapregasan Moodley
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- interferon and immune responses
- Immune cells in cancer
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Geriatrics and Gerontology top 10%
Papers in
-
- Immune Cell Function and Interaction 3
- Co-authors
- Anil A. Chuturgoon (11 shared papers)Alisa Phulukdaree (9 shared papers)Jean‐Baptiste Telliez (2 shared papers)Martin Hegen (2 shared papers)Hideyuki Yoshida (2 shared papers)James D. Clark (2 shared papers)Sara Mostafavi (2 shared papers)Christophe Benoıst (2 shared papers)
- Journals
- Cancer Research (3 papers)Gene (2 papers)Toxicology Letters (2 papers)Journal of Cellular Biochemistry (1 paper)ImmunoHorizons (1 paper)
- Partner nations
- South AfricaUnited StatesCanada
In The Last Decade
Devapregasan Moodley
21 papers receiving 574 citations
Peers
Comparison fields: 5 of 84
- Immunology 278
- Geriatrics and Gerontology 27
- Oncology 131
- Cancer Research 57
- Rheumatology 50
Countries citing papers authored by Devapregasan Moodley
This map shows the geographic impact of Devapregasan Moodley'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 Devapregasan Moodley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devapregasan Moodley more than expected).
Fields of papers citing papers by Devapregasan Moodley
This network shows the impact of papers produced by Devapregasan Moodley. 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 Devapregasan Moodley. The network helps show where Devapregasan Moodley may publish in the future.
Co-authors
The 25 scholars most cited alongside Devapregasan Moodley, 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 | 2016 | 202 | |
| 2 | 2016 | 62 | |
| 3 | 2019 | 60 | |
| 4 | 2014 | 57 | |
| 5 | 2016 | 51 | |
| 6 | 2012 | 28 | |
| 7 | 2015 | 23 | |
| 8 | 2015 | 20 | |
| 9 | 2015 | 19 | |
| 10 | 2016 | 13 | |
| 11 | 2016 | 11 | |
| 12 | 2015 | 9 | |
| 13 | 2020 | 7 | |
| 14 | 2019 | 7 | |
| 15 | 2016 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2021 | 2 | |
| 18 | 2012 | 2 | |
| 19 | 2020 | 1 | |
| 20 | 2021 | 1 |
About Devapregasan Moodley
Devapregasan Moodley is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Surgery, having authored 21 papers that have together received 584 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Immune Cell Function and Interaction (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Sirtuins and Resveratrol in Medicine (2 papers), CAR-T cell therapy research (2 papers), Biochemical effects in animals (2 papers), MicroRNA in disease regulation (1 paper) and Nanoplatforms for cancer theranostics (1 paper). The work is most often cited by research in Immunology (278 citations), Geriatrics and Gerontology (27 citations), Oncology (131 citations), Cancer Research (57 citations) and Rheumatology (50 citations). Devapregasan Moodley has collaborated with scholars based in South Africa, United States and Canada. Frequent co-authors include Anil A. Chuturgoon, Alisa Phulukdaree, Jean‐Baptiste Telliez, Martin Hegen, Hideyuki Yoshida, James D. Clark, Sara Mostafavi, Christophe Benoıst, Diane Mathis and Jean‐Laurent Casanova. Their work appears in journals such as Cancer Research, Gene, Toxicology Letters, Journal of Cellular Biochemistry and ImmunoHorizons.
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.