Satish Devadas

2.4k total citations
22 papers, 2.0k citations indexed

About

Satish Devadas is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Satish Devadas has authored 22 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Satish Devadas's work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (5 papers). Satish Devadas is often cited by papers focused on Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (10 papers) and Immunotherapy and Immune Responses (5 papers). Satish Devadas collaborates with scholars based in India, United States and China. Satish Devadas's co-authors include Mark S. Williams, Jaeyul Kwon, Yufang Shi, Sharon H. Jackson, Larry W. Oberley, Sue Goo Rhee, Lígia A. Pinto, Arthur I. Roberts, Gobardhan Das and Guangwen Ren and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Immunity.

In The Last Decade

Satish Devadas

21 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Satish Devadas India 14 1.1k 653 293 171 163 22 2.0k
Dagmar Quandt Germany 19 814 0.7× 588 0.9× 339 1.2× 232 1.4× 142 0.9× 26 1.8k
Urban Švajger Slovenia 25 969 0.9× 656 1.0× 233 0.8× 159 0.9× 136 0.8× 71 2.1k
Manuela Rossol Germany 19 900 0.8× 685 1.0× 176 0.6× 262 1.5× 155 1.0× 36 2.0k
Naruhisa Ota United States 22 1.3k 1.2× 566 0.9× 268 0.9× 236 1.4× 241 1.5× 26 2.1k
Asif Iqbal United Kingdom 25 943 0.8× 931 1.4× 277 0.9× 202 1.2× 205 1.3× 118 2.3k
Yoshiro Kobayashi Japan 24 1.1k 1.0× 784 1.2× 232 0.8× 318 1.9× 253 1.6× 63 2.3k
Kazuko Uno Japan 25 565 0.5× 673 1.0× 348 1.2× 195 1.1× 269 1.7× 100 2.2k
Thomas J. Connors United States 14 982 0.9× 659 1.0× 331 1.1× 203 1.2× 235 1.4× 33 2.1k
Maureen N. Ajuebor United States 23 945 0.8× 370 0.6× 362 1.2× 284 1.7× 128 0.8× 31 1.9k
Szilvia Benkő Hungary 24 746 0.7× 976 1.5× 258 0.9× 168 1.0× 86 0.5× 42 1.9k

Countries citing papers authored by Satish Devadas

Since Specialization
Citations

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

Fields of papers citing papers by Satish Devadas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satish Devadas

This figure shows the co-authorship network connecting the top 25 collaborators of Satish Devadas. A scholar is included among the top collaborators of Satish Devadas 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 Satish Devadas. Satish Devadas 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.
2.
Devadas, Satish, et al.. (2023). IL-21, Inflammatory Cytokines and Hyperpolarized CD8+ T Cells Are Central Players in Lupus Immune Pathology. Antioxidants. 12(1). 181–181. 8 indexed citations
3.
Padhan, Prasanta, et al.. (2023). IL-21/23 axis modulates inflammatory cytokines and RANKL expression in RA CD4+ T cells via p-Akt1 signaling. Frontiers in Immunology. 14. 1235514–1235514. 8 indexed citations
4.
Prasad, Punit, et al.. (2022). Underlying Co-Morbidity Reveals Unique Immune Signatures in Type II Diabetes Patients Infected With SARS-CoV2. Frontiers in Immunology. 13. 848335–848335. 2 indexed citations
5.
Debata, Nagen Kumar, et al.. (2020). iCa2+ Flux, ROS and IL-10 Determines Cytotoxic, and Suppressor T Cell Functions in Chronic Human Viral Infections. Frontiers in Immunology. 11. 83–83. 11 indexed citations
6.
Singh, Santosh Kumar, et al.. (2018). Inducible Costimulator Expressing T Cells Promote Parasitic Growth During Blood Stage Plasmodium berghei ANKA Infection. Frontiers in Immunology. 9. 1041–1041. 6 indexed citations
7.
Peroumal, Doureradjou, et al.. (2016). Oxidative stress modulates the cytokine response of differentiated Th17 and Th1 cells. Free Radical Biology and Medicine. 99. 352–363. 76 indexed citations
8.
Mohanty, Suchitra, et al.. (2016). Regulators of Tfh Cell Differentiation. Frontiers in Immunology. 7. 520–520. 117 indexed citations
9.
Zhang, Junfeng, A I Roberts, Chunqiao Liu, et al.. (2013). A novel subset of helper T cells promotes immune responses by secreting GM-CSF. Cell Death and Differentiation. 20(12). 1731–1741. 38 indexed citations
10.
Khani, Francesca, Yingyu Zhang, Arthur I. Roberts, et al.. (2010). Immune activation induces immortalization of HTLV-1 LTR-Tax transgenic CD4+ T cells. Blood. 116(16). 2994–3003. 29 indexed citations
11.
Shi, Yufang, Catherine H. Liu, Arthur I. Roberts, et al.. (2006). Granulocyte-macrophage colony-stimulating factor (GM-CSF) and T-cell responses: what we do and don't know. Cell Research. 16(2). 126–133. 409 indexed citations
12.
Devadas, Satish, Jyoti Das, Catherine Liu, et al.. (2006). Granzyme B Is Critical for T Cell Receptor-Induced Cell Death of Type 2 Helper T Cells. Immunity. 25(2). 237–247. 109 indexed citations
13.
Jackson, Sharon H., Satish Devadas, Jaeyul Kwon, Lígia A. Pinto, & Mark S. Williams. (2004). T cells express a phagocyte-type NADPH oxidase that is activated after T cell receptor stimulation. Nature Immunology. 5(8). 818–827. 386 indexed citations
14.
Roberts, Arthur I., Satish Devadas, Xiaoren Zhang, et al.. (2003). The Role of Activation-Induced Cell Death in the Differentiation of T-Helper-Cell Subsets. Immunologic Research. 28(3). 285–294. 55 indexed citations
15.
Kwon, Jaeyul, Satish Devadas, & Mark S. Williams. (2003). T cell receptor-stimulated generation of hydrogen peroxide inhibits MEK-ERK activation and lck serine phosphorylation. Free Radical Biology and Medicine. 35(4). 406–417. 65 indexed citations
16.
Shi, Yufang, Satish Devadas, Kristy M. Greeneltch, et al.. (2003). Stressed to death: Implication of lymphocyte apoptosis for psychoneuroimmunology. Brain Behavior and Immunity. 17(1). 18–26. 77 indexed citations
17.
Devadas, Satish, et al.. (2003). Fas-stimulated generation of reactive oxygen species or exogenous oxidative stress sensitize cells to Fas-mediated apoptosis. Free Radical Biology and Medicine. 35(6). 648–661. 63 indexed citations
18.
Devadas, Satish, et al.. (2003). Reciprocal expression of TRAIL and CD95L in Th1 and Th2 cells: role of apoptosis in T helper subset differentiation. Cell Death and Differentiation. 10(2). 203–210. 77 indexed citations
19.
Devadas, Satish, et al.. (2002). Discrete Generation of Superoxide and Hydrogen Peroxide by T Cell Receptor Stimulation. The Journal of Experimental Medicine. 195(1). 59–70. 384 indexed citations
20.
Devadas, Satish, et al.. (1998). In vitro effects of a novel tetrapeptide in human neutrophils and in a rat model of osteoarthritis. Protein and Peptide Letters. 5(5). 287–294. 3 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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