Devapregasan Moodley

1.2k citations
29 papers · 869 · h-index 14

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Immune cells in cancer
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Devapregasan Moodley

29 papers receiving 856 citations

Peers

Devapregasan Moodley
Comparison fields: 5 of 94
  • Immunology 295
  • Cancer Research 136
  • Geriatrics and Gerontology 28
  • Drug Discovery 1
  • Oncology 139
Replace Chia‐Huei Lee with:
Chia‐Huei Lee Taiwan
Weihua Xu China
Xiaoling Deng China
Yu Matsuzawa Japan
Mitsuyasu Nakamura Japan
Chang Geun Lee South Korea
Daniel A. Patten United Kingdom
Bishi Fu United States
Ann-Katrin Hopp Switzerland
Devapregasan Moodley relative to Chia‐Huei Lee Taiwan Chia‐Huei Lee's profile →
Citations per field
00.5×3.5×
Chia‐Huei Lee · 1×
Citations per year

Countries citing papers authored by Devapregasan Moodley

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Devapregasan Moodley Line = papers co-authored together Devapregasan Moodley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016210
2 2013104
3 201368
4 201662
5 201960
6 201458
7 201653
8 201333
9 201129
10 201228
11 201524
12 201520
13 201519
14 201015
15 201613
16 201611
17 201010
18 20159
19 20208
20 20198

About Devapregasan Moodley

Devapregasan Moodley is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Surgery, having authored 29 papers that have together received 869 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Immune Cell Function and Interaction (3 papers), Heat shock proteins research (2 papers), CAR-T cell therapy research (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), NF-κB Signaling Pathways (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Immunology (295 citations), Cancer Research (136 citations), Geriatrics and Gerontology (28 citations), Drug Discovery (1 citation) and Oncology (139 citations). Devapregasan Moodley has collaborated with scholars based in South Africa, United States and Canada. Frequent co-authors include Anil A. Chuturgoon, Alisa Phulukdaree, Hideyuki Yoshida, Jean‐Baptiste Telliez, Diane Mathis, Christophe Benoıst, Sara Mostafavi, Martin Hegen, James D. Clark and Girish M. Mody. Their work appears in journals such as Gene, Cancer Research, South African Journal of Science, Metabolic Syndrome and Related Disorders and Toxicology Letters.

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.

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