Deepa Rajagopal

820 total citations
18 papers, 645 citations indexed

About

Deepa Rajagopal is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Deepa Rajagopal has authored 18 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 9 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Deepa Rajagopal's work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers) and vaccines and immunoinformatics approaches (3 papers). Deepa Rajagopal is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers) and vaccines and immunoinformatics approaches (3 papers). Deepa Rajagopal collaborates with scholars based in India, United Kingdom and United States. Deepa Rajagopal's co-authors include Sunanda G. Dastidar, Abhijit Ray, Laurence C. Eisenlohr, Gomathinayagam Sinnathamby, Anna George, Vineeta Bal, Satyajit Rath, Sandra S. Diebold, P. Sriramarao and Satoshi Uematsu and has published in prestigious journals such as Blood, Nature Immunology and The Journal of Immunology.

In The Last Decade

Deepa Rajagopal

18 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepa Rajagopal India 12 311 224 92 69 65 18 645
Louise McHugh United States 12 560 1.8× 303 1.4× 79 0.9× 83 1.2× 57 0.9× 15 961
Steven E. Applequist Sweden 12 539 1.7× 349 1.6× 100 1.1× 128 1.9× 42 0.6× 17 904
Gabriele Köllisch Germany 10 457 1.5× 166 0.7× 80 0.9× 39 0.6× 51 0.8× 14 794
Daniel Roeder United States 7 287 0.9× 393 1.8× 75 0.8× 53 0.8× 32 0.5× 8 737
Robert O. Endres United States 15 530 1.7× 196 0.9× 62 0.7× 74 1.1× 20 0.3× 35 854
Sheena A. Linehan United Kingdom 11 489 1.6× 256 1.1× 114 1.2× 65 0.9× 38 0.6× 11 893
Emma L. Turnbull United Kingdom 12 387 1.2× 353 1.6× 133 1.4× 69 1.0× 44 0.7× 19 883
Adel M. Nour United States 9 279 0.9× 512 2.3× 126 1.4× 78 1.1× 36 0.6× 13 779
Christophe Losberger Switzerland 13 349 1.1× 423 1.9× 115 1.3× 121 1.8× 58 0.9× 13 962
Maja Marić United States 18 855 2.7× 277 1.2× 149 1.6× 155 2.2× 34 0.5× 25 1.1k

Countries citing papers authored by Deepa Rajagopal

Since Specialization
Citations

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

Fields of papers citing papers by Deepa Rajagopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Rajagopal

This figure shows the co-authorship network connecting the top 25 collaborators of Deepa Rajagopal. A scholar is included among the top collaborators of Deepa Rajagopal 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 Deepa Rajagopal. Deepa Rajagopal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Rajagopal, Deepa, et al.. (2024). Immune‐related adverse events of antibody‐based biological medicines in cancer therapy. Journal of Cellular and Molecular Medicine. 28(13). e18470–e18470. 5 indexed citations
2.
Yang, Jiwon, Jing Jiao, Kyle Draheim, et al.. (2023). Simultaneous evaluation of treatment efficacy and toxicity for bispecific T‐cell engager therapeutics in a humanized mouse model. The FASEB Journal. 37(6). e22995–e22995. 10 indexed citations
3.
Rajagopal, Deepa, Linhua Tian, Shiqiu Xiong, et al.. (2020). An accurate and rapid single step protocol for enumeration of cytokine positive T lymphocytes. PubMed. 9. 100032–100032. 2 indexed citations
4.
Rajagopal, Deepa, Michael Shipton, K. Kanyuka, et al.. (2015). Plant Virus Particles Carrying Tumour Antigen Activate TLR7 and Induce High Levels of Protective Antibody. PLoS ONE. 10(2). e0118096–e0118096. 57 indexed citations
5.
Rajagopal, Deepa, Carine Paturel, Yannis Morel, et al.. (2010). Plasmacytoid dendritic cell–derived type I interferon is crucial for the adjuvant activity of Toll-like receptor 7 agonists. Blood. 115(10). 1949–1957. 96 indexed citations
6.
Dastidar, Sunanda G., Abhijit Ray, Deepa Rajagopal, et al.. (2009). Pharmacology of a Novel, Orally Active PDE4 Inhibitor. Pharmacology. 83(5). 275–286. 22 indexed citations
7.
Dastidar, Sunanda G., Deepa Rajagopal, & Abhijit Ray. (2007). Therapeutic benefit of PDE4 inhibitors in inflammatory diseases.. PubMed. 8(5). 364–72. 89 indexed citations
8.
Rajagopal, Deepa, Vineeta Bal, Satyajit Mayor, Anna George, & Satyajit Rath. (2006). A role for the Hsp90 molecular chaperone family in antigen presentation to T lymphocytes via major histocompatibility complex class II molecules. European Journal of Immunology. 36(4). 828–841. 37 indexed citations
9.
Sinnathamby, Gomathinayagam, et al.. (2005). A cytosolic pathway for MHC class II–restricted antigen processing that is proteasome and TAP dependent. Nature Immunology. 6(3). 287–294. 111 indexed citations
10.
Rajagopal, Deepa, Vineeta Bal, Anna George, & Satyajit Rath. (2004). Diversity & overlap in the mechanisms of processing protein antigens for presentation to T cells.. PubMed. 120(2). 75–85. 3 indexed citations
11.
Dani, Adish, Ashutosh Chaudhry, Paushali Mukherjee, et al.. (2004). The pathway for MHCII-mediated presentation of endogenous proteins involves peptide transport to the endo-lysosomal compartment. Journal of Cell Science. 117(18). 4219–4230. 62 indexed citations
12.
Nair, D.T., Kanwal J. Kaur, Kavita Singh, et al.. (2003). Mimicry of Native Peptide Antigens by the Corresponding Retro-Inverso Analogs Is Dependent on Their Intrinsic Structure and Interaction Propensities. The Journal of Immunology. 170(3). 1362–1373. 22 indexed citations
13.
Malu, Shruti, Shrividhya Srinivasan, Prasanta Kumar Maiti, et al.. (2003). IFN-γ bioassay: development of a sensitive method by measuring nitric oxide production by peritoneal exudate cells from C57BL/6 mice. Journal of Immunological Methods. 272(1-2). 55–65. 14 indexed citations
14.
Wherry, E. John, Deepa Rajagopal, & Laurence C. Eisenlohr. (2003). Use of Vaccinia Virus Expression Vectors to Investigate Antigen Processing and Presentation. Humana Press eBooks. 156. 89–109. 4 indexed citations
15.
John, Beena, Deepa Rajagopal, Achal Pashine, et al.. (2002). Role of IL-12-Independent and IL-12-Dependent Pathways in Regulating Generation of the IFN-γ Component of T Cell Responses to Salmonella typhimurium. The Journal of Immunology. 169(5). 2545–2552. 35 indexed citations
16.
Rajagopal, Deepa, et al.. (2001). H2M- and MHC class II recycling-independent loading of a hemagglutinin-derived epitope. International Congress Series. 1219. 319–326. 3 indexed citations
17.
Selvanayagam, Zachariah, et al.. (1999). ELISA for the detection of venoms from four medically important snakes of India. Toxicon. 37(5). 757–770. 37 indexed citations
18.
Sriramarao, P., et al.. (1998). B‐ and T‐cell epitopes of tropomyosin, the major shrimp allergen. Allergy. 53(s46). 44–47. 36 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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