Francisco A. Chaves
- Immunology top 5%
- T-cell and B-cell Immunology 15
- Immune Cell Function and Interaction 15
- Immunotherapy and Immune Responses 11
- Epidemiology top 5%
- Influenza Virus Research Studies 13
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research 3
- Virology top 10%
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- vaccines and immunoinformatics approaches 6
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- Animal Disease Management and Epidemiology 4
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- COVID-19 epidemiological studies 2
- Co-authors
- Andrea J. SantKatherine A. RichardsChristopher A. LazarskiDavid J. TophamJason M. WeaverScott A. JenksShenhong WuHongmei Yang
- Journals
- Proceedings of the National Academy of Sciences (2 papers)The Journal of Experimental Medicine (1 paper)Blood (1 paper)
- Partner nations
- United States
In The Last Decade
Francisco A. Chaves
26 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 59
- Immunology 805
- Epidemiology 504
- Infectious Diseases 236
- Virology 40
- Radiology, Nuclear Medicine and Imaging 169
Countries citing papers authored by Francisco A. Chaves
This map shows the geographic impact of Francisco A. Chaves'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 Francisco A. Chaves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco A. Chaves more than expected).
Fields of papers citing papers by Francisco A. Chaves
This network shows the impact of papers produced by Francisco A. Chaves. 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 Francisco A. Chaves. The network helps show where Francisco A. Chaves may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francisco A. Chaves, 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 | 2025 | 0 | |
| 2 | 2022 | 14 | |
| 3 | 2022 | 11 | |
| 4 | 2020 | 88 | |
| 5 | 2020 | 19 | |
| 6 | 2017 | 46 | |
| 7 | 2014 | 31 | |
| 8 | 2013 | 22 | |
| 9 | 2012 | 24 | |
| 10 | 2011 | 25 | |
| 11 | 2010 | 48 | |
| 12 | 2010 | 68 | |
| 13 | 2009 | 22 | |
| 14 | 2008 | 38 | |
| 15 | 2007 | 47 | |
| 16 | 2006 | 59 | |
| 17 | 2006 | 11 | |
| 18 | 2005 | 187 | |
| 19 | 2005 | 8 | |
| 20 | 2005 | 98 |
About Francisco A. Chaves
Francisco A. Chaves is a scholar working on Immunology, Modeling and Simulation and Biological Psychiatry, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (15 papers), Immune Cell Function and Interaction (15 papers), Influenza Virus Research Studies (13 papers), Immunotherapy and Immune Responses (11 papers), vaccines and immunoinformatics approaches (6 papers), Animal Disease Management and Epidemiology (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Immunology (805 citations), Epidemiology (504 citations) and Infectious Diseases (236 citations). Francisco A. Chaves has collaborated with scholars based in United States. Frequent co-authors include Andrea J. Sant, Katherine A. Richards, Christopher A. Lazarski, David J. Topham, Jason M. Weaver, Scott A. Jenks, Shenhong Wu, Hongmei Yang, Jennifer L. Nayak and Angela R Branche. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.
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.