Roopa Srinivasan

1.7k total citations
17 papers, 1.0k citations indexed

About

Roopa Srinivasan is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Roopa Srinivasan has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 6 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Roopa Srinivasan's work include Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Roopa Srinivasan is often cited by papers focused on Immunotherapy and Immune Responses (9 papers), T-cell and B-cell Immunology (7 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Roopa Srinivasan collaborates with scholars based in United States, India and United Kingdom. Roopa Srinivasan's co-authors include Axel Hoos, James Smothers, Jerry L. Adams, Jedd D. Wolchok, Alan N. Houghton, Wilbur B. Bowne, William G. Hawkins, Ruben Dyall, Jonathan J. Lewis and Nathalie E. Blachère and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Roopa Srinivasan

16 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roopa Srinivasan United States	11	771	399	384	91	89	17	1.0k
Teresa Lozano Spain	20	717 0.9×	481 1.2×	393 1.0×	59 0.6×	64 0.7×	43	1.2k
Pedro M. Sousa Alves France	16	692 0.9×	295 0.7×	497 1.3×	90 1.0×	85 1.0×	24	986
Thomas Bukur Germany	12	751 1.0×	445 1.1×	646 1.7×	124 1.4×	139 1.6×	21	1.4k
Lopamudra Das Roy United States	16	369 0.5×	599 1.5×	605 1.6×	81 0.9×	124 1.4×	31	1.1k
Natalia Arenas-Ramirez Switzerland	12	541 0.7×	464 1.2×	587 1.5×	77 0.8×	81 0.9×	12	1.2k
Christopher E. Touloukian United States	16	1.5k 2.0×	838 2.1×	547 1.4×	155 1.7×	95 1.1×	23	1.8k
Norma Bloy France	19	841 1.1×	776 1.9×	483 1.3×	185 2.0×	87 1.0×	39	1.5k
Justin M. David United States	18	558 0.7×	769 1.9×	543 1.4×	66 0.7×	60 0.7×	30	1.4k
Jun-Ting Cheng China	11	270 0.4×	345 0.9×	443 1.2×	76 0.8×	82 0.9×	15	852
Ioannis F. Voutsas Greece	16	510 0.7×	305 0.8×	305 0.8×	39 0.4×	93 1.0×	36	812

Countries citing papers authored by Roopa Srinivasan

Since Specialization

Citations

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

Fields of papers citing papers by Roopa Srinivasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roopa Srinivasan

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

All Works

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17 of 17 papers shown

Rajamanickam, Anuradha, Nathella Pavan Kumar, Chandrasekaran Padmapriyadarsini, et al.. (2021). Effect of SARS-CoV-2 seropositivity on antigen – specific cytokine and chemokine responses in latent tuberculosis. Cytokine. 150. 155785–155785. 7 indexed citations

Peng, Weiyi, Leila J. Williams, Chunyu Xu, et al.. (2019). Anti-OX40 Antibody Directly Enhances The Function of Tumor-Reactive CD8+ T Cells and Synergizes with PI3Kβ Inhibition in PTEN Loss Melanoma. Clinical Cancer Research. 25(21). 6406–6416. 33 indexed citations

Washburn, Michael L., Zhang Wang, Andrew H. Walton, et al.. (2019). T Cell– and Monocyte-Specific RNA-Sequencing Analysis in Septic and Nonseptic Critically Ill Patients and in Patients with Cancer. The Journal of Immunology. 203(7). 1897–1908. 38 indexed citations

Bhattacharya, Sabyasachi, Paul Bojczuk, David Kilian, et al.. (2018). Evaluation of OX40 receptor density, influence of IgG Isotype and dosing paradigm in anti-OX40-mediated efficacy and biomarker responses with PD-1 blockade. Annals of Oncology. 29. viii424–viii425.

Bhattacharya, Sabyasachi, Christopher Matheny, Niranjan Yanamandra, et al.. (2018). Synergy of TLR4 agonist GSK1795091, an innate immune activator, with agonistic antibody against co-stimulatory immune checkpoint molecule OX40 in cancer immunotherapy.. Journal of Clinical Oncology. 36(15_suppl). 12055–12055. 8 indexed citations

Yadavilli, Sapna, Tianqian Zhang, Ashleigh Hahn, et al.. (2017). Abstract 1637: ICOS agonism induces potent immune activation and anti-tumor response in non-clinical models. Cancer Research. 77(13_Supplement). 1637–1637. 2 indexed citations

Adams, Jerry L., James Smothers, Roopa Srinivasan, & Axel Hoos. (2015). Big opportunities for small molecules in immuno-oncology. Nature Reviews Drug Discovery. 14(9). 603–622. 348 indexed citations

Rajan, Prithi & Roopa Srinivasan. (2008). Targeting Cancer Stem Cells in Cancer Prevention and Therapy. Stem Cell Reviews and Reports. 4(3). 211–216. 11 indexed citations

Srinivasan, Roopa, et al.. (2006). Specific Active Immunotherapy of Cancer: Potential and Perspectives. Reviews on Recent Clinical Trials. 1(3). 283–292. 5 indexed citations

10.

Srinivasan, Roopa & Jedd D. Wolchok. (2004). Tumor antigens for cancer immunotherapy: therapeutic potential of xenogeneic DNA vaccines. Journal of Translational Medicine. 2(1). 12–12. 44 indexed citations

11.

Srinivasan, Roopa, Alan N. Houghton, & Jedd D. Wolchok. (2002). Induction of autoantibodies against tyrosinase-related proteins following DNA vaccination: unexpected reactivity to a protein paralogue.. PubMed. 2. 8–8. 11 indexed citations

12.

Wolchok, Jedd D., Roopa Srinivasan, Miguel‐Angel Perales, et al.. (2001). Alternative roles for interferon-gamma in the immune response to DNA vaccines encoding related melanosomal antigens.. PubMed. 1(1). 9–9. 10 indexed citations

13.

Hawkins, William G., Jason S. Gold, Ruben Dyall, et al.. (2000). Immunization with DNA coding for gp100 results in CD4+ T-cell independent antitumor immunity. Surgery. 128(2). 273–280. 85 indexed citations

14.

Bowne, Wilbur B., Jedd D. Wolchok, William G. Hawkins, et al.. (1999). Injection of DNA encoding granulocyte-macrophage colony-stimulating factor recruits dendritic cells for immune adjuvant effects.. PubMed. 5(4). 217–25. 51 indexed citations

15.

Bowne, Wilbur B., Roopa Srinivasan, Jedd D. Wolchok, et al.. (1999). Coupling and Uncoupling of Tumor Immunity and Autoimmunity. The Journal of Experimental Medicine. 190(11). 1717–1722. 203 indexed citations

16.

Weber, L W, Wilbur B. Bowne, Jedd D. Wolchok, et al.. (1998). Tumor immunity and autoimmunity induced by immunization with homologous DNA.. Journal of Clinical Investigation. 102(6). 1258–1264. 185 indexed citations

17.

Antia, N. H., et al.. (1977). Immunological studies in burns. Burns. 4(1). 55–60. 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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