Devapregasan Moodley

911 total citations
21 papers, 584 citations indexed

About

Devapregasan Moodley is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Devapregasan Moodley has authored 21 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Immunology and 6 papers in Oncology. Recurrent topics in Devapregasan Moodley's work include Cytokine Signaling Pathways and Interactions (4 papers), Immune Cell Function and Interaction (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Devapregasan Moodley is often cited by papers focused on Cytokine Signaling Pathways and Interactions (4 papers), Immune Cell Function and Interaction (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Devapregasan Moodley collaborates with scholars based in South Africa, United States and Canada. Devapregasan Moodley's co-authors include Anil A. Chuturgoon, Alisa Phulukdaree, Sara Mostafavi, Jean‐Baptiste Telliez, Diane Mathis, Martin Hegen, Christophe Benoıst, James D. Clark, Hideyuki Yoshida and Katherine Rothamel and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Devapregasan Moodley

21 papers receiving 574 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Devapregasan Moodley South Africa 11 278 209 131 79 58 21 584
Xiaomin Yao China 12 308 1.1× 540 2.6× 144 1.1× 74 0.9× 43 0.7× 25 820
Isaac Blanca Venezuela 15 374 1.3× 154 0.7× 106 0.8× 72 0.9× 26 0.4× 46 691
Sharlene Velichko United States 16 403 1.4× 228 1.1× 215 1.6× 102 1.3× 59 1.0× 21 893
Luigi Tortola Switzerland 14 612 2.2× 328 1.6× 141 1.1× 109 1.4× 75 1.3× 30 966
A. Nazmul H. Khan United States 14 451 1.6× 406 1.9× 251 1.9× 68 0.9× 54 0.9× 19 844
Heekyong Bae United States 9 290 1.0× 260 1.2× 147 1.1× 191 2.4× 17 0.3× 10 709
Kevin Fenix Australia 13 387 1.4× 124 0.6× 147 1.1× 47 0.6× 38 0.7× 32 620
Armina Alagheband Bahrami Iran 9 123 0.4× 213 1.0× 52 0.4× 44 0.6× 57 1.0× 16 441
Cheol‐Hee Yoon South Korea 14 227 0.8× 386 1.8× 130 1.0× 94 1.2× 85 1.5× 34 699

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-authorship network of co-authors of Devapregasan Moodley

This figure shows the co-authorship network connecting the top 25 collaborators of Devapregasan Moodley. A scholar is included among the top collaborators of Devapregasan Moodley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Devapregasan Moodley. Devapregasan Moodley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Aldridge, Daniel L., Devapregasan Moodley, Jeongho Park, et al.. (2024). Endogenous IL-27 during toxoplasmosis limits early monocyte responses and their inflammatory activation by pathological T cells. mBio. 15(3). e0008324–e0008324. 4 indexed citations
2.
Hill, Jonathan A., Devapregasan Moodley, Jing Hua, et al.. (2021). 674 IL-27 signaling drives a type 1 interferon-like gene expression program of immunoregulatory pathways associated with cancer progression. Regular and Young Investigator Award Abstracts. A702–A702. 1 indexed citations
3.
Moodley, Devapregasan, Austin Dulak, Ricard Masia, et al.. (2021). Abstract 1802: CD39 inhibition shapes the transcriptional landscape of myeloid cells and induces proinflammatory states in the CT26 syngeneic tumor model. Cancer Research. 81(13_Supplement). 1802–1802. 2 indexed citations
4.
5.
Rausch, Matthew, Devapregasan Moodley, Secil Koseoglu, et al.. (2020). 727 Increased serum levels of EBI3 are associated with poor outcome in hepatocellular carcinoma patients and SRF388, a first-in-class IL-27 blocking antibody, inhibits the growth of murine liver tumors. SHILAP Revista de lepidopterología. A435.1–A435. 1 indexed citations
6.
DeLong, Jonathan H., Aisling O’Hara Hall, Devapregasan Moodley, et al.. (2019). IL-27 and TCR Stimulation Promote T Cell Expression of Multiple Inhibitory Receptors. ImmunoHorizons. 3(1). 13–25. 60 indexed citations
7.
White, Kerry, Matthew Rausch, Jing Hua, et al.. (2019). Abstract 558: MERTK-specific antibodies that have therapeutic antitumor activity in mice disrupt the integrity of the retinal pigmented epithelium in cynomolgus monkeys. Cancer Research. 79(13_Supplement). 558–558. 7 indexed citations
8.
Mostafavi, Sara, Hideyuki Yoshida, Devapregasan Moodley, et al.. (2016). Parsing the Interferon Transcriptional Network and Its Disease Associations. Cell. 164(3). 564–578. 202 indexed citations
9.
10.
Phulukdaree, Alisa, et al.. (2016). Sirtuin 1 rs1467568 and rs7895833 in South African Indians with early-onset coronary artery disease. Cardiovascular journal of South Africa. 27(4). 213–217. 13 indexed citations
11.
Phulukdaree, Alisa, et al.. (2016). TB/HIV pleurisy reduces Th17 lymphocyte proportion independent of the cytokine microenvironment. Tuberculosis. 99. 92–99. 4 indexed citations
12.
Moodley, Devapregasan, Hideyuki Yoshida, Sara Mostafavi, et al.. (2016). Network pharmacology of JAK inhibitors. Proceedings of the National Academy of Sciences. 113(35). 9852–9857. 51 indexed citations
13.
Chuturgoon, Anil A., et al.. (2016). Mycobacterium tuberculosis: Manipulator of Protective Immunity. International Journal of Molecular Sciences. 17(3). 131–131. 62 indexed citations
14.
Phulukdaree, Alisa, et al.. (2015). Increased SIRT3 Expression and Antioxidant Defense under Hyperglycemic Conditions in HepG2 Cells. Metabolic Syndrome and Related Disorders. 13(6). 255–263. 19 indexed citations
15.
Phulukdaree, Alisa, et al.. (2015). Atorvastatin Increases miR‐124a Expression: A Mechanism of Gamt Modulation in Liver Cells. Journal of Cellular Biochemistry. 116(11). 2620–2627. 9 indexed citations
16.
17.
Chuturgoon, Anil A., Alisa Phulukdaree, & Devapregasan Moodley. (2015). Fumonisin B1 inhibits apoptosis in HepG2 cells by inducing Birc-8/ILP-2. Toxicology Letters. 235(2). 67–74. 23 indexed citations
18.
Chuturgoon, Anil A., Alisa Phulukdaree, & Devapregasan Moodley. (2014). Fumonisin B1 modulates expression of human cytochrome P450 1b1 in human hepatoma (Hepg2) cells by repressing Mir-27b. Toxicology Letters. 227(1). 50–55. 57 indexed citations
19.
Phulukdaree, Alisa, et al.. (2012). GST polymorphisms and early-onset coronary artery disease in young South African Indians. South African Medical Journal. 102(7). 627–627. 28 indexed citations
20.
Moodley, Devapregasan, et al.. (2012). Association of -308 TNF-alpha promoter polymorphism with viral load and CD4 T-helper cell apoptosis in HIV-1 infected black South Africans. Southern African Journal of HIV Medicine. 13(2). 2 indexed citations

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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