Shane Crotty
Impact in
- Virology top 0.05%
- HIV Research and Treatment
- Immunology top 0.02%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 145
- Immune Cell Function and Interaction 97
- T-cell and B-cell Immunology 90
- Immunotherapy and Immune Responses 65
- Virology 75
- HIV Research and Treatment 50
- Poxvirus research and outbreaks 25
- Co-authors
- Alessandro Sette (37 shared papers)Raul Andino (12 shared papers)Robert J. Johnston (10 shared papers)Danelle S. Eto (7 shared papers)Craig E. Cameron (5 shared papers)Rafi Ahmed (10 shared papers)Youn Soo Choi (13 shared papers)Daniela Weiskopf (15 shared papers)
- Journals
- The Journal of Immunology (22 papers)Immunity (20 papers)Nature Immunology (14 papers)Journal of Virology (14 papers)Proceedings of the National Academy of Sciences (9 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Shane Crotty
244 papers receiving 42.5k citations
Shane Crotty's Hit Papers
Peers
Comparison fields: 5 of 168
- Virology 5.9k
- Immunology 21.1k
- Infectious Diseases 14.5k
- Modeling and Simulation 1.1k
- Neurology 2.4k
Countries citing papers authored by Shane Crotty
This map shows the geographic impact of Shane Crotty'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 Shane Crotty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shane Crotty more than expected).
Fields of papers citing papers by Shane Crotty
This network shows the impact of papers produced by Shane Crotty. 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 Shane Crotty. The network helps show where Shane Crotty may publish in the future.
Co-authors
The 25 scholars most cited alongside Shane Crotty, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 251 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targets of T Cell Responses to SARS-CoV-2 Coronavirus in Humans with COVID-19 Disease and Unexposed Individuals Hit paper breakdown → | 2020 | 2827 |
| 2 | Follicular Helper CD4 T Cells (T FH ) Hit paper breakdown → | 2011 | 2305 |
| 3 | Immunological memory to SARS-CoV-2 assessed for up to 8 months after infection Hit paper breakdown → | 2021 | 1993 |
| 4 | T Follicular Helper Cell Differentiation, Function, and Roles in Disease Hit paper breakdown → | 2014 | 1483 |
| 5 | Antigen-Specific Adaptive Immunity to SARS-CoV-2 in Acute COVID-19 and Associations with Age and Disease Severity Hit paper breakdown → | 2020 | 1403 |
| 6 | Adaptive immunity to SARS-CoV-2 and COVID-19 Hit paper breakdown → | 2021 | 1356 |
| 7 | Bcl6 and Blimp-1 Are Reciprocal and Antagonistic Regulators of T Follicular Helper Cell Differentiation Hit paper breakdown → | 2009 | 1332 |
| 8 | T Follicular Helper Cell Biology: A Decade of Discovery and Diseases Hit paper breakdown → | 2019 | 1162 |
| 9 | Selective and cross-reactive SARS-CoV-2 T cell epitopes in unexposed humans Hit paper breakdown → | 2020 | 874 |
| 10 | ICOS Receptor Instructs T Follicular Helper Cell versus Effector Cell Differentiation via Induction of the Transcriptional Repressor Bcl6 Hit paper breakdown → | 2011 | 793 |
| 11 | RNA virus error catastrophe: Direct molecular test by using ribavirin Hit paper breakdown → | 2001 | 714 |
| 12 | Human Circulating PD-1+CXCR3−CXCR5+ Memory Tfh Cells Are Highly Functional and Correlate with Broadly Neutralizing HIV Antibody Responses Hit paper breakdown → | 2013 | 712 |
| 13 | The broad-spectrum antiviral ribonucleoside ribavirin is an RNA virus mutagen Hit paper breakdown → | 2000 | 689 |
| 14 | SARS-CoV-2 vaccination induces immunological T cell memory able to cross-recognize variants from Alpha to Omicron Hit paper breakdown → | 2022 | 674 |
| 15 | The Transcription Factor NFAT Promotes Exhaustion of Activated CD8 + T Cells Hit paper breakdown → | 2015 | 646 |
| 16 | 2003 | 580 | |
| 17 | Runx3 programs CD8+ T cell residency in non-lymphoid tissues and tumours Hit paper breakdown → | 2017 | 530 |
| 18 | Impact of SARS-CoV-2 variants on the total CD4+ and CD8+ T cell reactivity in infected or vaccinated individuals Hit paper breakdown → | 2021 | 514 |
| 19 | 1999 | 509 | |
| 20 | 2006 | 476 |
About Shane Crotty
Shane Crotty is a scholar working on Immunology, Virology, Infectious Diseases, Epidemiology and Molecular Biology, having authored 251 papers that have together received 43.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (97 papers), T-cell and B-cell Immunology (90 papers), Immunotherapy and Immune Responses (65 papers), HIV Research and Treatment (50 papers), SARS-CoV-2 and COVID-19 Research (41 papers), COVID-19 Clinical Research Studies (31 papers), vaccines and immunoinformatics approaches (31 papers) and Poxvirus research and outbreaks (25 papers). The work is most often cited by research in Virology (5.9k citations), Immunology (21.1k citations), Infectious Diseases (14.5k citations), Modeling and Simulation (1.1k citations) and Neurology (2.4k citations). Shane Crotty has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Alessandro Sette, Raul Andino, Robert J. Johnston, Danelle S. Eto, Craig E. Cameron, Rafi Ahmed, Youn Soo Choi, Daniela Weiskopf, Bjoern Peters and Isharat Yusuf. Their work appears in journals such as The Journal of Immunology, Immunity, Nature Immunology, Journal of Virology and Proceedings of the National Academy of Sciences.
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.