Viveka Mayya

2.4k total citations
24 papers, 1.7k citations indexed

About

Viveka Mayya is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Viveka Mayya has authored 24 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 10 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Viveka Mayya's work include T-cell and B-cell Immunology (10 papers), Advanced Proteomics Techniques and Applications (8 papers) and CAR-T cell therapy research (7 papers). Viveka Mayya is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Advanced Proteomics Techniques and Applications (8 papers) and CAR-T cell therapy research (7 papers). Viveka Mayya collaborates with scholars based in United States, United Kingdom and Denmark. Viveka Mayya's co-authors include Michael L. Dustin, Linfeng Wu, Karim Rezaul, David K. Han, Sun‐Il Hwang, Deborah H. Lundgren, Jimmy K. Eng, Vladimir Rodionov, David K. Han and David A. Blair and has published in prestigious journals such as Immunity, Nature Immunology and The Journal of Immunology.

In The Last Decade

Viveka Mayya

23 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Viveka Mayya United States 17 967 632 422 327 162 24 1.7k
Jeong Heon Ko South Korea 20 1.2k 1.2× 589 0.9× 125 0.3× 371 1.1× 152 0.9× 41 1.6k
Andreas P. Frei Switzerland 16 942 1.0× 261 0.4× 263 0.6× 159 0.5× 131 0.8× 23 1.4k
Franck Brichory United States 13 879 0.9× 289 0.5× 279 0.7× 173 0.5× 184 1.1× 19 1.1k
Troels Zakarias Kristiansen United States 12 1.1k 1.2× 156 0.2× 485 1.1× 466 1.4× 271 1.7× 15 1.7k
Meredith J. Layton Australia 27 1.2k 1.2× 363 0.6× 99 0.2× 421 1.3× 339 2.1× 47 1.8k
Ralph Schiess Switzerland 19 1.5k 1.6× 161 0.3× 829 2.0× 343 1.0× 167 1.0× 34 2.2k
Rachel A. Craven United Kingdom 23 1.6k 1.7× 184 0.3× 431 1.0× 232 0.7× 333 2.1× 38 2.1k
Christian Melle Germany 25 1.0k 1.0× 163 0.3× 377 0.9× 279 0.9× 116 0.7× 61 1.4k
Kimberly A. Lee United States 15 1.8k 1.8× 127 0.2× 669 1.6× 403 1.2× 193 1.2× 19 2.4k
Kebing Yu United States 21 1.1k 1.1× 354 0.6× 161 0.4× 168 0.5× 116 0.7× 38 1.5k

Countries citing papers authored by Viveka Mayya

Since Specialization
Citations

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

Fields of papers citing papers by Viveka Mayya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Viveka Mayya

This figure shows the co-authorship network connecting the top 25 collaborators of Viveka Mayya. A scholar is included among the top collaborators of Viveka Mayya 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 Viveka Mayya. Viveka Mayya 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.
Capera, Jesusa, Ashwin Jainarayanan, Salvatore Valvo, et al.. (2025). STAT3 phosphorylation in the rheumatoid arthritis immunological synapse. Journal of Autoimmunity. 155. 103456–103456.
2.
Robert, Philippe A., Audun Kvalvaag, Salvatore Valvo, et al.. (2021). Characterization of mechanisms positioning costimulatory complexes in immune synapses. iScience. 24(10). 103100–103100. 2 indexed citations
3.
Mintz, Michelle A., James H. Felce, Viveka Mayya, et al.. (2019). The HVEM-BTLA Axis Restrains T Cell Help to Germinal Center B Cells and Functions as a Cell-Extrinsic Suppressor in Lymphomagenesis. Immunity. 51(2). 310–323.e7. 73 indexed citations
4.
Mayya, Viveka, Edward Judokusumo, Enas Abu‐Shah, et al.. (2019). Cutting Edge: Synapse Propensity of Human Memory CD8 T Cells Confers Competitive Advantage over Naive Counterparts. The Journal of Immunology. 203(3). 601–606. 13 indexed citations
5.
Abu‐Shah, Enas, Philippos Demetriou, Štefan Bálint, et al.. (2019). A tissue-like platform for studying engineered quiescent human T-cells’ interactions with dendritic cells. eLife. 8. 10 indexed citations
6.
Cai, Haogang, James Muller, David Depoil, et al.. (2018). Full control of ligand positioning reveals spatial thresholds for T cell receptor triggering. Nature Nanotechnology. 13(7). 610–617. 117 indexed citations
7.
Mayya, Viveka, Edward Judokusumo, Enas Abu‐Shah, et al.. (2018). Durable Interactions of T Cells with T Cell Receptor Stimuli in the Absence of a Stable Immunological Synapse. Cell Reports. 22(2). 340–349. 31 indexed citations
8.
Valvo, Salvatore, et al.. (2017). Comprehensive Analysis of Immunological Synapse Phenotypes Using Supported Lipid Bilayers. Methods in molecular biology. 1584. 423–441. 10 indexed citations
9.
Mayya, Viveka & Michael L. Dustin. (2016). What Scales the T Cell Response?. Trends in Immunology. 37(8). 513–522. 25 indexed citations
10.
Mayya, Viveka, Willie Neiswanger, Ricardo Medina, Chris H. Wiggins, & Michael L. Dustin. (2014). Integrative analysis of T cell motility from multi-channel microscopy data using TIAM. Journal of Immunological Methods. 416. 84–93. 8 indexed citations
11.
Kumari, Sudha, Silvia Curado, Viveka Mayya, & Michael L. Dustin. (2013). T cell antigen receptor activation and actin cytoskeleton remodeling. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1838(2). 546–556. 115 indexed citations
12.
Best, J. Adam, David A. Blair, Jamie Knell, et al.. (2013). Transcriptional insights into the CD8+ T cell response to infection and memory T cell formation. Nature Immunology. 14(4). 404–412. 236 indexed citations
13.
Mayya, Viveka & David K. Han. (2009). Phosphoproteomics by mass spectrometry: insights, implications, applications and limitations. Expert Review of Proteomics. 6(6). 605–618. 33 indexed citations
14.
Bagnato, Carolina, Jaykumar Thumar, Viveka Mayya, et al.. (2007). Proteomics Analysis of Human Coronary Atherosclerotic Plaque. Molecular & Cellular Proteomics. 6(6). 1088–1102. 126 indexed citations
15.
Wu, Linfeng, Sun‐Il Hwang, Karim Rezaul, et al.. (2007). Global Survey of Human T Leukemic Cells by Integrating Proteomics and Transcriptomics Profiling. Molecular & Cellular Proteomics. 6(8). 1343–1353. 29 indexed citations
16.
Mayya, Viveka, et al.. (2006). Absolute Quantification of Multisite Phosphorylation by Selective Reaction Monitoring Mass Spectrometry. Molecular & Cellular Proteomics. 5(6). 1146–1157. 102 indexed citations
17.
Hwang, Sun‐Il, Deborah H. Lundgren, Viveka Mayya, et al.. (2006). Systematic Characterization of Nuclear Proteome during Apoptosis. Molecular & Cellular Proteomics. 5(6). 1131–1145. 58 indexed citations
18.
Lundgren, Deborah H., Karim Rezaul, Viveka Mayya, et al.. (2006). Direct cancer tissue proteomics: a method to identify candidate cancer biomarkers from formalin-fixed paraffin-embedded archival tissues. Oncogene. 26(1). 65–76. 110 indexed citations
19.
Rezaul, Karim, Linfeng Wu, Viveka Mayya, Sun‐Il Hwang, & David Han. (2004). A Systematic Characterization of Mitochondrial Proteome from Human T Leukemia Cells. Molecular & Cellular Proteomics. 4(2). 169–181. 101 indexed citations
20.
Mayya, Viveka, Karim Rezaul, Yu‐Sheng Cong, & David K. Han. (2004). Systematic Comparison of a Two-dimensional Ion Trap and a Three-dimensional Ion Trap Mass Spectrometer in Proteomics. Molecular & Cellular Proteomics. 4(2). 214–223. 45 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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