Joy Y. Feng
- Infectious Diseases top 0.1%
- HIV/AIDS drug development and treatment 32
- SARS-CoV-2 and COVID-19 Research 13
- Viral gastroenteritis research and epidemiology 9
- HIV/AIDS Research and Interventions 7
- Virology top 1%
- HIV Research and Treatment 18
- Neurology top 1%
- Computational Theory and Mathematics top 0.5%
- Hepatology top 5%
- Hepatitis C virus research 12
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- Biochemical and Molecular Research 10
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- Viral Infections and Immunology Research 8
- Co-authors
- Danielle PorterMatthias GötteEgor P. TchesnokovCalvin J. GordonTomáš CihlářTimothy P. SheahanRalph S. BaricAmy Sims
- Cited by
- Infectious DiseasesVirologyNeurology
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Joy Y. Feng
66 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Infectious Diseases 5.2k
- Virology 732
- Neurology 860
- Computational Theory and Mathematics 633
- Hepatology 280
Countries citing papers authored by Joy Y. Feng
This map shows the geographic impact of Joy Y. Feng'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 Joy Y. Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy Y. Feng more than expected).
Fields of papers citing papers by Joy Y. Feng
This network shows the impact of papers produced by Joy Y. Feng. 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 Joy Y. Feng. The network helps show where Joy Y. Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joy Y. Feng, 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 | 2024 | 4 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 42 | |
| 5 | 2022 | 11 | |
| 6 | 2021 | 29 | |
| 7 | 2021 | 5 | |
| 8 | Remdesivir is a direct-acting antiviral that inhibits RNA-dependent RNA polymerase from severe acute respiratory syndrome coronavirus 2 with high potencybreakdown → | 2020 | 698 |
| 9 | 2020 | 74 | |
| 10 | 2020 | 117 | |
| 11 | Comparative therapeutic efficacy of remdesivir and combination lopinavir, ritonavir, and interferon beta against MERS-CoVbreakdown → | 2020 | 1241 |
| 12 | 2015 | 254 | |
| 13 | 2015 | 62 | |
| 14 | 2012 | 6 | |
| 15 | 2012 | 27 | |
| 16 | 2012 | 156 | |
| 17 | 2009 | 71 | |
| 18 | 2009 | 18 | |
| 19 | 2009 | 54 | |
| 20 | 2006 | 20 |
About Joy Y. Feng
Joy Y. Feng is a scholar working on Virology, Infectious Diseases and Hepatology, having authored 67 papers that have together received 6.6k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (32 papers), HIV Research and Treatment (18 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Hepatitis C virus research (12 papers), Biochemical and Molecular Research (10 papers), Viral gastroenteritis research and epidemiology (9 papers), Viral Infections and Immunology Research (8 papers) and HIV/AIDS Research and Interventions (7 papers). The work is most often cited by research in Infectious Diseases (5.2k citations), Virology (732 citations) and Neurology (860 citations). Joy Y. Feng has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Danielle Porter, Matthias Götte, Egor P. Tchesnokov, Calvin J. Gordon, Tomáš Cihlář, Timothy P. Sheahan, Ralph S. Baric, Amy Sims, Mark R. Denison and Jason K. Perry. Their work appears in journals such as Nature, Science and Nucleic Acids Research.
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.