F Wu
- Virology top 0.5%
- HIV Research and Treatment 9
- Neurology top 2%
- Genetics top 5%
- Virus-based gene therapy research 4
- Immunology top 5%
- Immune Cell Function and Interaction 4
- interferon and immune responses 2
- T-cell and Retrovirus Studies 1
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment 3
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- RNA Research and Splicing 4
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- Herpesvirus Infections and Treatments 3
- Co-authors
- Richard B. GaynorDavid HarrichJoseph A. GarciaRonald T. MitsuyasuS.-H.I. OuLeón F. Garcı́a-Martı́nezJosé Ángel GarcíaDavid S. Sigman
- Journals
- The EMBO Journal (4 papers)Journal of Virology (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesPoland
In The Last Decade
F Wu
13 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Virology 909
- Neurology 452
- Genetics 238
- Immunology 465
- Infectious Diseases 321
Countries citing papers authored by F Wu
This map shows the geographic impact of F Wu'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 F Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F Wu more than expected).
Fields of papers citing papers by F Wu
This network shows the impact of papers produced by F Wu. 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 F Wu. The network helps show where F Wu may publish in the future.
Co-authorship network
The 23 scholars most cited alongside F Wu, 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 | Incorporation of nuclear matrix attachment regions into the herpes simplex virus type 1 genome does not induce long-term expression of a foreign gene during latency. | 1996 | 7 |
| 2 | Cloning and characterization of a novel cellular protein, TDP-43, that binds to human immunodeficiency virus type 1 TAR DNA sequence motifsbreakdown → | 1995 | 607 |
| 3 | 1992 | 48 | |
| 4 | 1991 | 125 | |
| 5 | 1990 | 89 | |
| 6 | 1990 | 44 | |
| 7 | 1989 | 248 | |
| 8 | 1989 | 159 | |
| 9 | 1988 | 61 | |
| 10 | 1988 | 187 | |
| 11 | 1988 | 26 | |
| 12 | 1987 | 54 | |
| 13 | 1987 | 274 |
About F Wu
F Wu is a scholar working on Virology, Immunology, Infectious Diseases, Genetics and Molecular Biology, having authored 13 papers that have together received 1.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), Virus-based gene therapy research (4 papers), Immune Cell Function and Interaction (4 papers), RNA Research and Splicing (4 papers), Herpesvirus Infections and Treatments (3 papers), HIV/AIDS drug development and treatment (3 papers), interferon and immune responses (2 papers) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Virology (909 citations), Neurology (452 citations), Genetics (238 citations), Immunology (465 citations) and Infectious Diseases (321 citations). F Wu has collaborated with scholars based in United States and Poland. Frequent co-authors include Richard B. Gaynor, David Harrich, Joseph A. Garcia, Ronald T. Mitsuyasu, S.-H.I. Ou, León F. Garcı́a-Martı́nez, José Ángel García, David S. Sigman, J. Victor Garcia and Lori Pearson. Their work appears in journals such as The EMBO Journal, Journal of Virology, Proceedings of the National Academy of Sciences, Genes & Development 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.