Fred W. Perrino
- Virology top 2%
- Immunology top 2%
- interferon and immune responses 25
- Molecular Biology top 2%
- DNA Repair Mechanisms 30
- DNA and Nucleic Acid Chemistry 23
- CRISPR and Genetic Engineering 13
- RNA and protein synthesis mechanisms 10
- RNA regulation and disease 7
- Advanced biosensing and bioanalysis techniques 7
- Infectious Diseases top 5%
- Cancer Research top 5%
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- Bacterial Genetics and Biotechnology 10
- Co-authors
- Thomas HollisDan J. MazurScott HarveyLawrence A. LoebJudy LiebermanDipanjan ChowdhuryJason M. GraysonHolly Miller
- Cited by
- VirologyImmunologyMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Nucleic Acids Research (3 papers)Journal of Biological Chemistry (23 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Fred W. Perrino
74 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 100
- Virology 392
- Immunology 1.4k
- Molecular Biology 2.6k
- Infectious Diseases 489
- Cancer Research 344
Countries citing papers authored by Fred W. Perrino
This map shows the geographic impact of Fred W. Perrino'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 Fred W. Perrino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred W. Perrino more than expected).
Fields of papers citing papers by Fred W. Perrino
This network shows the impact of papers produced by Fred W. Perrino. 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 Fred W. Perrino. The network helps show where Fred W. Perrino may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fred W. Perrino, 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 | 2022 | 0 | |
| 2 | 2020 | 31 | |
| 3 | 2019 | 19 | |
| 4 | 2019 | 12 | |
| 5 | 2017 | 30 | |
| 6 | 2016 | 16 | |
| 7 | 2011 | 30 | |
| 8 | 2011 | 39 | |
| 9 | 2011 | 25 | |
| 10 | 2008 | 16 | |
| 11 | 2008 | 103 | |
| 12 | 2006 | 17 | |
| 13 | 2004 | 13 | |
| 14 | 2001 | 63 | |
| 15 | 1995 | 33 | |
| 16 | 1995 | 9 | |
| 17 | 1994 | 60 | |
| 18 | 1990 | 37 | |
| 19 | 1988 | 15 | |
| 20 | 1987 | 16 |
About Fred W. Perrino
Fred W. Perrino is a scholar working on Immunology, Molecular Biology and Virology, having authored 75 papers that have together received 3.8k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (30 papers), interferon and immune responses (25 papers), DNA and Nucleic Acid Chemistry (23 papers), CRISPR and Genetic Engineering (13 papers), RNA and protein synthesis mechanisms (10 papers), Bacterial Genetics and Biotechnology (10 papers), RNA regulation and disease (7 papers) and Advanced biosensing and bioanalysis techniques (7 papers). The work is most often cited by research in Virology (392 citations), Immunology (1.4k citations) and Molecular Biology (2.6k citations). Fred W. Perrino has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Thomas Hollis, Dan J. Mazur, Scott Harvey, Lawrence A. Loeb, Judy Lieberman, Dipanjan Chowdhury, Jason M. Grayson, Holly Miller, Linda J. Sandell and B D Preston. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.