Chenthamarakshan Vasu

2.9k total citations
56 papers, 2.3k citations indexed

About

Chenthamarakshan Vasu is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Chenthamarakshan Vasu has authored 56 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 17 papers in Genetics and 16 papers in Molecular Biology. Recurrent topics in Chenthamarakshan Vasu's work include T-cell and B-cell Immunology (23 papers), Immune Cell Function and Interaction (22 papers) and Immunotherapy and Immune Responses (14 papers). Chenthamarakshan Vasu is often cited by papers focused on T-cell and B-cell Immunology (23 papers), Immune Cell Function and Interaction (22 papers) and Immunotherapy and Immune Responses (14 papers). Chenthamarakshan Vasu collaborates with scholars based in United States, France and Malaysia. Chenthamarakshan Vasu's co-authors include Bellur S. Prabhakar, Radhika Gudi, Mark Holterman, Benjamin M. Johnson, Nicolas Pérez, Subha Karumuthil‐Melethil, Marie‐Claude Gaudreau, Ruobing Li, Alexander Pereboev and David T. Curiel and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Neuroscience.

In The Last Decade

Chenthamarakshan Vasu

55 papers receiving 2.3k citations

Peers

Chenthamarakshan Vasu
Patricia Gonnella United States
Kyoji Hioki Japan
Kazufumi Katayama Japan
Concha Nieto Spain
Dipayan Rudra South Korea
Ying Ge China
Mari L. Shinohara United States
Alan M. Kaplan United States
Laura M. Sly Canada
Pascale Alard United States
Patricia Gonnella United States
Chenthamarakshan Vasu
Citations per year, relative to Chenthamarakshan Vasu Chenthamarakshan Vasu (= 1×) peers Patricia Gonnella

Countries citing papers authored by Chenthamarakshan Vasu

Since Specialization
Citations

This map shows the geographic impact of Chenthamarakshan Vasu'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 Chenthamarakshan Vasu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenthamarakshan Vasu more than expected).

Fields of papers citing papers by Chenthamarakshan Vasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chenthamarakshan Vasu. 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 Chenthamarakshan Vasu. The network helps show where Chenthamarakshan Vasu may publish in the future.

Co-authorship network of co-authors of Chenthamarakshan Vasu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenthamarakshan Vasu. A scholar is included among the top collaborators of Chenthamarakshan Vasu 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 Chenthamarakshan Vasu. Chenthamarakshan Vasu 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.
Gudi, Radhika, Soumyabrata Roy, Wei Sun, & Chenthamarakshan Vasu. (2022). Preclinical stage abundance and nuclear antigen reactivity of faecal Immunoglobulin A vary among males and females of lupus‐prone mouse models. Immunology. 165(4). 497–507. 3 indexed citations
2.
Gudi, Radhika, Diane L. Kamen, & Chenthamarakshan Vasu. (2022). Fecal immunoglobulin A (IgA) and its subclasses in systemic lupus erythematosus patients are nuclear antigen reactive and this feature correlates with gut permeability marker levels. Clinical Immunology. 242. 109107–109107. 13 indexed citations
3.
4.
Johnson, Benjamin M., Marie‐Claude Gaudreau, Radhika Gudi, et al.. (2020). Gut microbiota differently contributes to intestinal immune phenotype and systemic autoimmune progression in female and male lupus-prone mice. Journal of Autoimmunity. 108. 102420–102420. 40 indexed citations
5.
Sun, Wei, Radhika Gudi, Benjamin M. Johnson, & Chenthamarakshan Vasu. (2020). Abundance and nuclear antigen reactivity of intestinal and fecal Immunoglobulin A in lupus-prone mice at younger ages correlate with the onset of eventual systemic autoimmunity. Scientific Reports. 10(1). 14258–14258. 7 indexed citations
6.
Gudi, Radhika, Nicolas Pérez, Benjamin M. Johnson, et al.. (2019). Complex dietary polysaccharide modulates gut immune function and microbiota, and promotes protection from autoimmune diabetes. Immunology. 157(1). 70–85. 43 indexed citations
7.
8.
Wallace, Kristin, et al.. (2019). $W_{d}^{*}$-test: robust distance-based multivariate analysis of variance. Microbiome. 7(1). 51–51. 54 indexed citations
9.
Gudi, Radhika, Courtney J. Haycraft, P. Darwin Bell, Zihai Li, & Chenthamarakshan Vasu. (2015). Centrobin-mediated Regulation of the Centrosomal Protein 4.1-associated Protein (CPAP) Level Limits Centriole Length during Elongation Stage. Journal of Biological Chemistry. 290(11). 6890–6902. 23 indexed citations
10.
Ganesh, Balaji, et al.. (2011). IL-1β Promotes TGF-β1 and IL-2 Dependent Foxp3 Expression in Regulatory T Cells. PLoS ONE. 6(7). e21949–e21949. 17 indexed citations
11.
Karumuthil‐Melethil, Subha, Nicolas Pérez, Ruobing Li, et al.. (2010). Dendritic Cell-Directed CTLA-4 Engagement during Pancreatic β Cell Antigen Presentation Delays Type 1 Diabetes. The Journal of Immunology. 184(12). 6695–6708. 17 indexed citations
12.
Vellasamy, Kumutha Malar, Chenthamarakshan Vasu, Savithri D. Puthucheary, & Jamuna Vadivelu. (2009). Comparative analysis of extracellular enzymes and virulence exhibited by Burkholderia pseudomallei from different sources. Microbial Pathogenesis. 47(3). 111–117. 16 indexed citations
13.
Pérez, Nicolas, Subha Karumuthil‐Melethil, Ruobing Li, et al.. (2008). Preferential Costimulation by CD80 Results in IL-10-Dependent TGF-β1+-Adaptive Regulatory T Cell Generation. The Journal of Immunology. 180(10). 6566–6576. 39 indexed citations
14.
Li, Ruobing, Nicolas Pérez, Subha Karumuthil‐Melethil, et al.. (2007). Enhanced Engagement of CTLA-4 Induces Antigen-Specific CD4+CD25+Foxp3+ and CD4+CD25− TGF-β1+ Adaptive Regulatory T Cells. The Journal of Immunology. 179(8). 5191–5203. 42 indexed citations
15.
Galbiati, Francesca, Veronica Basso, Ludovico Cantuti‐Castelvetri, et al.. (2007). Autonomic Denervation of Lymphoid Organs Leads to Epigenetic Immune Atrophy in a Mouse Model of Krabbe Disease. Journal of Neuroscience. 27(50). 13730–13738. 50 indexed citations
16.
Vasu, Chenthamarakshan, Bellur S. Prabhakar, & Mark Holterman. (2004). Targeted CTLA-4 Engagement Induces CD4+CD25+CTLA-4high T Regulatory Cells with Target (Allo)antigen Specificity. The Journal of Immunology. 173(4). 2866–2876. 51 indexed citations
17.
Vasu, Chenthamarakshan, et al.. (2003). Absence of IL-4, and Not Suppression of the Th2 Response, Prevents Development of Experimental Autoimmune Graves’ Disease. The Journal of Immunology. 170(4). 2195–2204. 47 indexed citations
18.
19.
Vasu, Chenthamarakshan, et al.. (2003). The Humoral Immune Response in Melioidosis Patients during Therapy. Infection. 31(1). 24–30. 27 indexed citations
20.
Vasu, Chenthamarakshan, et al.. (1975). Aneurysm of saphenous vein bypass graft to coronary artery. Journal of Thoracic and Cardiovascular Surgery. 70(2). 358–359. 100 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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