Michael Farzan
- Virology top 0.05%
- HIV Research and Treatment 65
- Infectious Diseases top 0.01%
- SARS-CoV-2 and COVID-19 Research 47
- COVID-19 Clinical Research Studies 24
- HIV/AIDS drug development and treatment 22
- Immunology top 0.05%
- Immune Cell Function and Interaction 38
- interferon and immune responses 17
- Animal Science and Zoology top 0.05%
- Animal Virus Infections Studies 28
- Epidemiology top 0.2%
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- Monoclonal and Polyclonal Antibodies Research 24
Michael Farzan
176 papers receiving 29.9k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Virology 6.5k
- Infectious Diseases 15.8k
- Immunology 9.9k
- Animal Science and Zoology 2.9k
- Epidemiology 4.4k
Countries citing papers authored by Michael Farzan
This map shows the geographic impact of Michael Farzan'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 Michael Farzan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Farzan more than expected).
Fields of papers citing papers by Michael Farzan
This network shows the impact of papers produced by Michael Farzan. 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 Michael Farzan. The network helps show where Michael Farzan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Farzan, 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 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 10 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 34 | |
| 10 | 2021 | 29 | |
| 11 | SARS-CoV-2 spike-protein D614G mutation increases virion spike density and infectivitybreakdown → | 2020 | 662 |
| 12 | 2016 | 72 | |
| 13 | 2011 | 58 | |
| 14 | Influenza A Virus NS1 Targets the Ubiquitin Ligase TRIM25 to Evade Recognition by the Host Viral RNA Sensor RIG-Ibreakdown → | 2009 | 718 |
| 15 | 2008 | 116 | |
| 16 | Structural Basis of Neutralization By a Human Anti-Sars Spike Protein Antibody, 80r | 2007 | 2 |
| 17 | 2006 | 101 | |
| 18 | 2004 | 213 | |
| 19 | 2004 | 435 | |
| 20 | 2002 | 59 |
About Michael Farzan
Michael Farzan is a scholar working on Virology, Infectious Diseases and Immunology, having authored 178 papers that have together received 30.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (65 papers), SARS-CoV-2 and COVID-19 Research (47 papers), Immune Cell Function and Interaction (38 papers), Animal Virus Infections Studies (28 papers), COVID-19 Clinical Research Studies (24 papers), Monoclonal and Polyclonal Antibodies Research (24 papers), HIV/AIDS drug development and treatment (22 papers) and interferon and immune responses (17 papers). The work is most often cited by research in Virology (6.5k citations), Infectious Diseases (15.8k citations) and Immunology (9.9k citations). Michael Farzan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Hyeryun Choe, Wenhui Li, Joseph Sodroski, Natalya Vasilieva, Michael J. Moore, Cody B. Jackson, I‐Chueh Huang, Swee Kee Wong, Jianhua Sui and Bing Chen. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, PLoS Pathogens, 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.