Colin Havenar‐Daughton
- Virology top 1%
- HIV Research and Treatment 10
- Immunology top 1%
- T-cell and B-cell Immunology 16
- Immune Cell Function and Interaction 16
- Immunotherapy and Immune Responses 11
- Infectious Diseases top 2%
- SARS-CoV-2 and COVID-19 Research 2
- Transplantation top 10%
- Epidemiology top 10%
- Herpesvirus Infections and Treatments 2
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- vaccines and immunoinformatics approaches 5
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- Streptococcal Infections and Treatments 2
- Co-authors
- Shane CrottyKaja Murali‐KrishnaGanesh KolumamAlessandro SetteCecilia S. Lindestam ArlehamnJeong Hyun LeeJennifer E. WuLaura F. Su
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Colin Havenar‐Daughton
26 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Virology 567
- Immunology 1.8k
- Infectious Diseases 706
- Transplantation 30
- Epidemiology 354
Countries citing papers authored by Colin Havenar‐Daughton
This map shows the geographic impact of Colin Havenar‐Daughton'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 Colin Havenar‐Daughton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Colin Havenar‐Daughton more than expected).
Fields of papers citing papers by Colin Havenar‐Daughton
This network shows the impact of papers produced by Colin Havenar‐Daughton. 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 Colin Havenar‐Daughton. The network helps show where Colin Havenar‐Daughton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Colin Havenar‐Daughton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 12 | |
| 2 | 2021 | 37 | |
| 3 | 2020 | 26 | |
| 4 | 2020 | 293 | |
| 5 | 2019 | 84 | |
| 6 | 2019 | 44 | |
| 7 | 2018 | 11 | |
| 8 | 2018 | 46 | |
| 9 | 2018 | 41 | |
| 10 | 2017 | 193 | |
| 11 | 2017 | 204 | |
| 12 | 2017 | 0 | |
| 13 | 2014 | 34 | |
| 14 | Human Circulating PD-1+CXCR3−CXCR5+ Memory Tfh Cells Are Highly Functional and Correlate with Broadly Neutralizing HIV Antibody Responsesbreakdown → | 2013 | 625 |
| 15 | 2013 | 43 | |
| 16 | 2012 | 32 | |
| 17 | 2010 | 10 | |
| 18 | 2006 | 176 | |
| 19 | 2004 | 32 | |
| 20 | 2003 | 95 |
About Colin Havenar‐Daughton
Colin Havenar‐Daughton is a scholar working on Virology, Immunology and Infectious Diseases, having authored 27 papers that have together received 2.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (16 papers), Immunotherapy and Immune Responses (11 papers), HIV Research and Treatment (10 papers), vaccines and immunoinformatics approaches (5 papers), Herpesvirus Infections and Treatments (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Virology (567 citations), Immunology (1.8k citations) and Infectious Diseases (706 citations). Colin Havenar‐Daughton has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Shane Crotty, Kaja Murali‐Krishna, Ganesh Kolumam, Alessandro Sette, Cecilia S. Lindestam Arlehamn, Jeong Hyun Lee, Jennifer E. Wu, Laura F. Su, Elias K. Haddad and Rafael Cubas. Their work appears in journals such as Nature, Blood and Immunity.
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.