Michael Farzan
Impact in
- Virology top 0.02%
- HIV Research and Treatment
- Infectious Diseases top 0.01%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
Papers in
-
- SARS-CoV-2 and COVID-19 Research 47
- COVID-19 Clinical Research Studies 23
- HIV/AIDS drug development and treatment 19
- Immunology 67
- Immune Cell Function and Interaction 37
- interferon and immune responses 18
- Co-authors
- Hyeryun Choe (75 shared papers)Wenhui Li (30 shared papers)Joseph Sodroski (31 shared papers)Natalya Vasilieva (12 shared papers)Michael J. Moore (7 shared papers)Cody B. Jackson (6 shared papers)I‐Chueh Huang (18 shared papers)Swee Kee Wong (6 shared papers)
- Journals
- Journal of Virology (42 papers)Journal of Biological Chemistry (17 papers)PLoS Pathogens (9 papers)Proceedings of the National Academy of Sciences (8 papers)Virology (8 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Michael Farzan
175 papers receiving 30.2k citations
Michael Farzan's Hit Papers
Peers
Comparison fields: 5 of 161
- Virology 6.3k
- Infectious Diseases 15.0k
- Immunology 9.4k
- Animal Science and Zoology 2.7k
- Epidemiology 4.0k
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-authors
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
Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus Hit paper breakdown → | 2003 | 4366 |
| 2 | Mechanisms of SARS-CoV-2 entry into cells Hit paper breakdown → | 2021 | 1988 |
| 3 | The β-Chemokine Receptors CCR3 and CCR5 Facilitate Infection by Primary HIV-1 Isolates Hit paper breakdown → | 1996 | 1957 |
| 4 | The lymphocyte chemoattractant SDF-1 is a ligand for LESTR/fusin and blocks HIV-1 entry Hit paper breakdown → | 1996 | 1683 |
| 5 | Structure of SARS Coronavirus Spike Receptor-Binding Domain Complexed with Receptor Hit paper breakdown → | 2005 | 1478 |
| 6 | The IFITM Proteins Mediate Cellular Resistance to Influenza A H1N1 Virus, West Nile Virus, and Dengue Virus Hit paper breakdown → | 2009 | 1039 |
| 7 | CCR3 and CCR5 are co-receptors for HIV-1 infection of microglia Hit paper breakdown → | 1997 | 780 |
| 8 | Receptor and viral determinants of SARS‐coronavirus adaptation to human ACE2 Hit paper breakdown → | 2005 | 739 |
| 9 | Influenza A Virus NS1 Targets the Ubiquitin Ligase TRIM25 to Evade Recognition by the Host Viral RNA Sensor RIG-I Hit paper breakdown → | 2009 | 722 |
| 10 | SARS-CoV-2 spike-protein D614G mutation increases virion spike density and infectivity Hit paper breakdown → | 2020 | 671 |
| 11 | The broad-spectrum antiviral functions of IFIT and IFITM proteins Hit paper breakdown → | 2012 | 664 |
| 12 | ACE2 Receptor Expression and Severe Acute Respiratory Syndrome Coronavirus Infection Depend on Differentiation of Human Airway Epithelia Hit paper breakdown → | 2005 | 646 |
| 13 | Tyrosine Sulfation of the Amino Terminus of CCR5 Facilitates HIV-1 Entry Hit paper breakdown → | 1999 | 579 |
| 14 | A 193-Amino Acid Fragment of the SARS Coronavirus S Protein Efficiently Binds Angiotensin-converting Enzyme 2 Hit paper breakdown → | 2004 | 550 |
| 15 | Distinct Patterns of IFITM-Mediated Restriction of Filoviruses, SARS Coronavirus, and Influenza A Virus Hit paper breakdown → | 2011 | 478 |
| 16 | 2004 | 436 | |
| 17 | 2014 | 356 | |
| 18 | 2007 | 339 | |
| 19 | 2000 | 311 | |
| 20 | 2004 | 307 |
About Michael Farzan
Michael Farzan is a scholar working on Infectious Diseases, Immunology, Virology, Molecular Biology and Animal Science and Zoology, having authored 178 papers that have together received 30.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (64 papers), SARS-CoV-2 and COVID-19 Research (47 papers), Immune Cell Function and Interaction (37 papers), Animal Virus Infections Studies (28 papers), COVID-19 Clinical Research Studies (23 papers), Monoclonal and Polyclonal Antibodies Research (22 papers), HIV/AIDS drug development and treatment (19 papers) and interferon and immune responses (18 papers). The work is most often cited by research in Virology (6.3k citations), Infectious Diseases (15.0k citations), Immunology (9.4k citations), Animal Science and Zoology (2.7k citations) and Epidemiology (4.0k 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, Proceedings of the National Academy of Sciences and Virology.
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.