Pritha Sen

4.8k total citations · 1 hit paper
14 papers, 1.4k citations indexed

About

Pritha Sen is a scholar working on Immunology, Virology and Infectious Diseases. According to data from OpenAlex, Pritha Sen has authored 14 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Virology and 4 papers in Infectious Diseases. Recurrent topics in Pritha Sen's work include HIV Research and Treatment (5 papers), COVID-19 Clinical Research Studies (3 papers) and T-cell and B-cell Immunology (3 papers). Pritha Sen is often cited by papers focused on HIV Research and Treatment (5 papers), COVID-19 Clinical Research Studies (3 papers) and T-cell and B-cell Immunology (3 papers). Pritha Sen collaborates with scholars based in United States, Netherlands and Taiwan. Pritha Sen's co-authors include Joseph El Khoury, Suzanne E. Hickman, Liza Morsett, Saef Izzy, William A. Charini, Marcelo J. Kuroda, Norman L. Letvin, Joana R. Guedes, Sybren L. N. Maas and David T. Ting and has published in prestigious journals such as Journal of Clinical Oncology, Nature Neuroscience and The Journal of Immunology.

In The Last Decade

Pritha Sen

11 papers receiving 1.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Microglia in neurodegeneration

2018 1.2k citations Suzanne E. Hickman, Saef Izzy et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pritha Sen United States	8	801	451	371	310	197	14	1.4k
Liza Morsett United States	6	821 1.0×	484 1.1×	331 0.9×	315 1.0×	172 0.9×	6	1.4k
Bijay Parajuli Japan	16	588 0.7×	514 1.1×	387 1.0×	377 1.2×	132 0.7×	32	1.5k
Erik Nutma Netherlands	16	749 0.9×	642 1.4×	251 0.7×	306 1.0×	215 1.1×	24	1.7k
Oscar Harari United States	21	725 0.9×	557 1.2×	374 1.0×	548 1.8×	156 0.8×	54	1.6k
Meng-Liang Zhao United States	15	540 0.7×	389 0.9×	387 1.0×	261 0.8×	181 0.9×	17	1.4k
Emanuela Colombo Italy	12	553 0.7×	493 1.1×	327 0.9×	221 0.7×	139 0.7×	22	1.4k
Mathias Linnerbauer Germany	11	624 0.8×	386 0.9×	238 0.6×	222 0.7×	127 0.6×	15	1.2k
Palwinder K. Mander United Kingdom	14	697 0.9×	491 1.1×	409 1.1×	314 1.0×	178 0.9×	20	1.6k
Sara Bachiller Spain	14	627 0.8×	361 0.8×	230 0.6×	221 0.7×	118 0.6×	24	1.2k
Sergey Kalinin United States	23	587 0.7×	642 1.4×	305 0.8×	490 1.6×	155 0.8×	56	1.9k

Countries citing papers authored by Pritha Sen

Since Specialization

Citations

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

Fields of papers citing papers by Pritha Sen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pritha Sen

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Chow, Jennifer, Nicholas E. Heger, Alexandra Werner, et al.. (2025). Sex- and Age-based Comparison of Key Clinical Markers of Immunity After Heart and Kidney Transplantation. Transplantation Direct. 11(9). e1846–e1846.

Blum, Steven M., Daniel A. Zlotoff, Neal P. Smith, et al.. (2022). Single-cell profiling of human heart and blood in immune checkpoint inhibitor-associated myocarditis.. Journal of Clinical Oncology. 40(16_suppl). 2507–2507.

Normandin, Erica, Kathryn B. Holroyd, Bennett Shaw, et al.. (2022). Intrathecal inflammatory responses in the absence of SARS-CoV-2 nucleic acid in the CSF of COVID-19 hospitalized patients (S18.004). Neurology. 98(18_supplement).

Ward, Rebecca, Nima Aghaeepour, Roby P. Bhattacharyya, et al.. (2021). Harnessing the Potential of Multiomics Studies for Precision Medicine in Infectious Disease. Open Forum Infectious Diseases. 8(11). ofab483–ofab483. 23 indexed citations

Mohareb, Amir M., Jacob M. Rosenberg, Roby P. Bhattacharyya, et al.. (2021). Preventing Infectious Complications of Immunomodulation in COVID-19 in Foreign-Born Patients. Journal of Immigrant and Minority Health. 23(6). 1343–1347. 5 indexed citations

Normandin, Erica, Kathryn B. Holroyd, Bennett Shaw, et al.. (2021). Intrathecal inflammatory responses in the absence of SARS-CoV-2 nucleic acid in the CSF of COVID-19 hospitalized patients. Journal of the Neurological Sciences. 430. 120023–120023. 28 indexed citations

Maas, Sybren L. N., Erik R. Abels, Xuan Zhang, et al.. (2020). Glioblastoma hijacks microglial gene expression to support tumor growth. Journal of Neuroinflammation. 17(1). 120–120. 81 indexed citations

Meyerowitz, Eric A., Pritha Sen, Sara Schoenfeld, et al.. (2020). Immunomodulation as Treatment for Severe Coronavirus Disease 2019: A Systematic Review of Current Modalities and Future Directions. Clinical Infectious Diseases. 72(12). e1130–e1143. 33 indexed citations

Lyass, Asya, et al.. (2020). Utilization of absolute monocyte counts to predict cardiovascular events in people living with HIV. HIV Medicine. 22(4). 314–320. 4 indexed citations

10.

Hickman, Suzanne E., Saef Izzy, Pritha Sen, Liza Morsett, & Joseph El Khoury. (2018). Microglia in neurodegeneration. Nature Neuroscience. 21(10). 1359–1369. 1195 indexed citations breakdown →

11.

Seaman, Michael S., et al.. (2009). Diverse Cross-Reactive Potential and Vβ Gene Usage of an Epitope-Specific Cytotoxic T-Lymphocyte Population in Monkeys Immunized with Diverse Human Immunodeficiency Virus Type 1 Env Immunogens. Journal of Virology. 83(19). 9803–9812. 1 indexed citations

12.

Hasegawa, Atsuhiko, William A. Charini, Ramu A. Subbramanian, et al.. (2007). Analysis of TCRαβ Combinations used by Simian Immunodeficiency Virus-Specific CD8+ T Cells in Rhesus Monkeys: Implications for CTL Immunodominance. The Journal of Immunology. 178(6). 3409–3417. 12 indexed citations

13.

Sen, Pritha, William A. Charini, Ramu A. Subbramanian, et al.. (2007). Clonal Focusing of Epitope-Specific CD8⁺T Lymphocytes in Rhesus Monkeys following Vaccination and Simian-Human Immunodeficiency Virus Challenge. Journal of Virology. 82(2). 805–816. 11 indexed citations

14.

Manuel, Edwin R., William A. Charini, Pritha Sen, et al.. (2006). Contribution of T-Cell Receptor Repertoire Breadth to the Dominance of Epitope-Specific CD8⁺T-Lymphocyte Responses. Journal of Virology. 80(24). 12032–12040. 26 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.

Explore authors with similar magnitude of impact