F Wu
Impact in
Papers in
- Virology 9
- HIV Research and Treatment 9
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- RNA Research and Splicing 4
- Co-authors
- Richard B. Gaynor (11 shared papers)David Harrich (6 shared papers)Joseph A. Garcia (8 shared papers)Ronald T. Mitsuyasu (4 shared papers)S.-H.I. Ou (2 shared papers)León F. Garcı́a-Martı́nez (1 shared paper)José Ángel García (2 shared papers)David S. Sigman (2 shared papers)
- Journals
- The EMBO Journal (4 papers)Journal of Virology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Genes & Development (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesPoland
In The Last Decade
F Wu
13 papers receiving 1.9k citations
F Wu's 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-authors
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 | Cloning and characterization of a novel cellular protein, TDP-43, that binds to human immunodeficiency virus type 1 TAR DNA sequence motifs Hit paper breakdown → | 1995 | 607 |
| 2 | 1987 | 274 | |
| 3 | 1989 | 248 | |
| 4 | 1988 | 187 | |
| 5 | 1989 | 159 | |
| 6 | 1991 | 125 | |
| 7 | 1990 | 89 | |
| 8 | 1988 | 61 | |
| 9 | 1987 | 54 | |
| 10 | 1992 | 48 | |
| 11 | 1990 | 44 | |
| 12 | 1988 | 26 | |
| 13 | 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 |
About F Wu
F Wu is a scholar working on Virology, Molecular Biology, Immunology, Epidemiology and Genetics, 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), RNA Research and Splicing (4 papers), Immune Cell Function and Interaction (4 papers), HIV/AIDS drug development and treatment (3 papers), Herpesvirus Infections and Treatments (3 papers), interferon and immune responses (2 papers) and Animal Disease Management and Epidemiology (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.