Amitinder Kaur

4.8k total citations
84 papers, 3.2k citations indexed

About

Amitinder Kaur is a scholar working on Epidemiology, Immunology and Virology. According to data from OpenAlex, Amitinder Kaur has authored 84 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Epidemiology, 47 papers in Immunology and 43 papers in Virology. Recurrent topics in Amitinder Kaur's work include HIV Research and Treatment (43 papers), Cytomegalovirus and herpesvirus research (42 papers) and Immune Cell Function and Interaction (38 papers). Amitinder Kaur is often cited by papers focused on HIV Research and Treatment (43 papers), Cytomegalovirus and herpesvirus research (42 papers) and Immune Cell Function and Interaction (38 papers). Amitinder Kaur collaborates with scholars based in United States, Germany and United Kingdom. Amitinder Kaur's co-authors include R. Paul Johnson, Ronald C. Desrosiers, Harold M. McClure, Andrew A. Lackner, Preston A. Marx, Fred Wang, Vanessa M. Hirsch, Cristian Apetrei, Ivona Pandrea and R. Paul Johnson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Blood.

In The Last Decade

Amitinder Kaur

80 papers receiving 3.1k citations

Peers

Amitinder Kaur
Michael S. Wyand United States
Kim J. Hasenkrug United States
Scott G. Hansen United States
Marion Cornelissen Netherlands
Jody Manischewitz United States
Joseph J. Mattapallil United States
Laura V. Chalifoux United States
Eva G. Rakasz United States
Michael A. Jarvis United States
Elaine K. Thomas United States
Michael S. Wyand United States
Amitinder Kaur
Citations per year, relative to Amitinder Kaur Amitinder Kaur (= 1×) peers Michael S. Wyand

Countries citing papers authored by Amitinder Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Amitinder Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amitinder Kaur

This figure shows the co-authorship network connecting the top 25 collaborators of Amitinder Kaur. A scholar is included among the top collaborators of Amitinder Kaur 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 Amitinder Kaur. Amitinder Kaur 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.
Alexander, S P H, Carolina Allers, Lara Doyle‐Meyers, et al.. (2025). RhCMV expands CCR5+ memory T cells and promotes SIV reservoir seeding in the gut mucosa. JCI Insight. 11(1).
2.
Wu, Chengxiang, Agnes S. Lo, Gautam K. Sahu, et al.. (2025). Persistence of CMV-specific anti-HIV CAR T cells after adoptive immunotherapy. Journal of Virology. 99(5). e0193324–e0193324.
3.
Kaur, Amitinder & Monica Vaccari. (2024). Exploring HIV Vaccine Progress in the Pre-Clinical and Clinical Setting: From History to Future Prospects. Viruses. 16(3). 368–368. 11 indexed citations
4.
Valencia, Sarah, et al.. (2023). Mathematical Modeling of Rhesus Cytomegalovirus Transplacental Transmission in Seronegative Rhesus Macaques. Viruses. 15(10). 2040–2040. 1 indexed citations
5.
Dufour, Jason, et al.. (2023). Comparison of fine‐needle aspiration techniques. Journal of Medical Primatology. 52(6). 400–404. 1 indexed citations
6.
Scheef, Elizabeth A., Jon D. Hennebold, Victoria H. J. Roberts, et al.. (2021). Immune Profile of the Normal Maternal-Fetal Interface in Rhesus Macaques and Its Alteration Following Zika Virus Infection. Frontiers in Immunology. 12. 719810–719810. 12 indexed citations
7.
Nelson, Cody S., et al.. (2020). Intrahost cytomegalovirus population genetics following antibody pretreatment in a monkey model of congenital transmission. PLoS Pathogens. 16(2). e1007968–e1007968. 4 indexed citations
8.
Dumonteil, Eric, Claudia Herrera, Marissa Fahlberg, et al.. (2020). Safety and immunogenicity of a recombinant vaccine against Trypanosoma cruzi in Rhesus macaques. Vaccine. 38(29). 4584–4591. 23 indexed citations
9.
Wu, Chuanfeng, Diego A. Espinoza, Samson Koelle, et al.. (2018). Clonal expansion and compartmentalized maintenance of rhesus macaque NK cell subsets. Science Immunology. 3(29). 36 indexed citations
11.
Karl, Julie A., Roger W. Wiseman, Dawn M. Dudley, et al.. (2015). Novel MHC class I full-length allele and haplotype characterization in sooty mangabeys. Immunogenetics. 67(8). 437–445. 13 indexed citations
12.
Kamperschroer, Cris, Amitinder Kaur, & Hervé Lebrec. (2012). A summary of meeting proceedings for ‘Measuring immune responses in non-human primates for drug development—Opportunities and challenges for predicting human efficacy and immunotoxicity’. Journal of Immunotoxicology. 9(1). 108–120. 6 indexed citations
13.
Kirmaier, Andrea, Fan Wu, Ruchi M. Newman, et al.. (2010). TRIM5 Suppresses Cross-Species Transmission of a Primate Immunodeficiency Virus and Selects for Emergence of Resistant Variants in the New Species. PLoS Biology. 8(8). e1000462–e1000462. 179 indexed citations
14.
Schmitz, Jörn E., Roland Zahn, Charles R. Brown, et al.. (2009). Inhibition of Adaptive Immune Responses Leads to a Fatal Clinical Outcome in SIV-Infected Pigtailed Macaques but Not Vervet African Green Monkeys. PLoS Pathogens. 5(12). e1000691–e1000691. 33 indexed citations
15.
Fogg, Mark H., et al.. (2006). The BZLF1 Homolog of an Epstein-Barr-Related γ-Herpesvirus Is a Frequent Target of the CTL Response in Persistently Infected Rhesus Macaques. The Journal of Immunology. 176(6). 3391–3401. 20 indexed citations
16.
Macchia, Iole, Marie‐Claire Gauduin, Amitinder Kaur, & R. Paul Johnson. (2006). Expression of CD8α identifies a distinct subset of effector memory CD4+ T lymphocytes. Immunology. 119(2). 232–242. 25 indexed citations
17.
Woodberry, Tonia, Todd J. Suscovich, Leah M. Henry, et al.. (2005). αEβ7 (CD103) Expression Identifies a Highly Active, Tonsil-Resident Effector-Memory CTL Population. The Journal of Immunology. 175(7). 4355–4362. 52 indexed citations
18.
Elkington, Rebecca, Naglaa H. Shoukry, Susan Walker, et al.. (2004). Cross‐reactive recognition of human and primate cytomegalovirus sequences by human CD4 cytotoxic T lymphocytes specific for glycoprotein B and H. European Journal of Immunology. 34(11). 3216–3226. 59 indexed citations
19.
Mueller, Nicolas J., Bernd Gollackner, Shin Yamamoto, et al.. (2003). Reduced Efficacy of Ganciclovir Against Porcine and Baboon Cytomegalovirus in Pig‐to‐Baboon Xenotransplantation. American Journal of Transplantation. 3(9). 1057–1064. 55 indexed citations
20.
Kaur, Amitinder, Donna Hempel, Linda Gritz, et al.. (2000). Identification of Multiple Simian Immunodeficiency Virus (SIV)-Specific CTL Epitopes in Sooty Mangabeys with Natural and Experimentally Acquired SIV Infection. The Journal of Immunology. 164(2). 934–943. 27 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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