Craig Fett
- Infectious Diseases top 0.5%
- Immunology top 5%
- Molecular Biology
- Animal Science and Zoology top 1%
- Neurology top 5%
- Co-authors
- Stanley PerlmanRudragouda ChannappanavarDavid K. MeyerholzJincun ZhaoLuis EnjuanesMatthias MackPatrick Ten EyckMarta L. DeDiego
- Topics
- SARS-CoV-2 and COVID-19 Research (16 papers)Animal Virus Infections Studies (8 papers)Viral gastroenteritis research and epidemiology (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesSpainChina
In The Last Decade
Craig Fett
21 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Infectious Diseases 2.2k
- Immunology 597
- Molecular Biology 507
- Animal Science and Zoology 503
- Neurology 417
Countries citing papers authored by Craig Fett
This map shows the geographic impact of Craig Fett'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 Craig Fett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig Fett more than expected).
Fields of papers citing papers by Craig Fett
This network shows the impact of papers produced by Craig Fett. 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 Craig Fett. The network helps show where Craig Fett may publish in the future.
Co-authorship network of co-authors of Craig Fett
This figure shows the co-authorship network connecting the top 25 collaborators of Craig Fett. A scholar is included among the top collaborators of Craig Fett 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 Craig Fett. Craig Fett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 10 | |
| 3 | 3 | |
| 4 | Sex-Based Differences in Susceptibility to Severe Acute Respiratory Syndrome Coronavirus Infectionbreakdown → | 584 |
| 5 | Airway Memory CD4 + T Cells Mediate Protective Immunity against Emerging Respiratory Coronavirusesbreakdown → | 339 |
| 6 | 61 | |
| 7 | 172 | |
| 8 | 72 | |
| 9 | 102 | |
| 10 | Rapid generation of a mouse model for Middle East respiratory syndromebreakdown → | 346 |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 45 | |
| 14 | 292 | |
| 15 | 4 | |
| 16 | 96 | |
| 17 | 323 | |
| 18 | 153 | |
| 19 | 83 | |
| 20 | 107 |
About Craig Fett
Craig Fett is a scholar working on Infectious Diseases, Animal Science and Zoology and Immunology, having authored 21 papers that have together received 3.0k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (16 papers), Animal Virus Infections Studies (8 papers) and Viral gastroenteritis research and epidemiology (6 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Animal Science and Zoology (503 citations) and Modeling and Simulation (142 citations). Craig Fett has collaborated with scholars based in United States, Spain and China. Frequent co-authors include Stanley Perlman, Rudragouda Channappanavar, David K. Meyerholz, Jincun Zhao, Luis Enjuanes, Matthias Mack, Patrick Ten Eyck, Marta L. DeDiego, José Ángel Regla-Nava and Jingxian Zhao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.