Nancy C. Kan
Impact in
Papers in
-
- RNA and protein synthesis mechanisms 3
- Genetics 8
- Virus-based gene therapy research 6
- Animal Genetics and Reproduction 2
- Co-authors
- Takis S. Papas (8 shared papers)James A. Lautenberger (4 shared papers)Peter Duesberg (5 shared papers)C S Flordellis (4 shared papers)Susan DiAngelo (1 shared paper)Neil D. Christensen (1 shared paper)John W. Kreider (1 shared paper)Joseph G. Gall (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Virology (3 papers)Science (2 papers)Journal of Molecular Biology (2 papers)Journal of Virology (1 paper)
- Partner nations
- United States
In The Last Decade
Nancy C. Kan
20 papers receiving 708 citations
Peers
Comparison fields: 5 of 67
- Virology 126
- Genetics 248
- Animal Science and Zoology 93
- Immunology 163
- Molecular Biology 415
Countries citing papers authored by Nancy C. Kan
This map shows the geographic impact of Nancy C. Kan'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 Nancy C. Kan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy C. Kan more than expected).
Fields of papers citing papers by Nancy C. Kan
This network shows the impact of papers produced by Nancy C. Kan. 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 Nancy C. Kan. The network helps show where Nancy C. Kan may publish in the future.
Co-authors
The 25 scholars most cited alongside Nancy C. Kan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 140 | |
| 2 | 1986 | 105 | |
| 3 | 1979 | 84 | |
| 4 | 1983 | 64 | |
| 5 | 1984 | 61 | |
| 6 | 1984 | 54 | |
| 7 | 1982 | 51 | |
| 8 | 1988 | 47 | |
| 9 | 1978 | 43 | |
| 10 | 1985 | 27 | |
| 11 | 1989 | 26 | |
| 12 | 1992 | 21 | |
| 13 | 1991 | 18 | |
| 14 | 1981 | 16 | |
| 15 | 1985 | 10 | |
| 16 | 1985 | 6 | |
| 17 | 1992 | 3 | |
| 18 | Production of oncogene-specific proteins and human T-cell leukemia (lymphotropic) retrovirus (HTLV-I) envelope protein in bacteria and its potential for use in human cancers and seroepidemiological surveys. | 1985 | 2 |
| 19 | 1985 | 2 | |
| 20 | 1980 | 1 |
About Nancy C. Kan
Nancy C. Kan is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Immunology and Plant Science, having authored 21 papers that have together received 781 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (7 papers), Virus-based gene therapy research (6 papers), RNA and protein synthesis mechanisms (3 papers), Plant Virus Research Studies (3 papers), Animal Genetics and Reproduction (2 papers), interferon and immune responses (2 papers), T-cell and Retrovirus Studies (2 papers) and Animal Disease Management and Epidemiology (2 papers). The work is most often cited by research in Virology (126 citations), Genetics (248 citations), Animal Science and Zoology (93 citations), Immunology (163 citations) and Molecular Biology (415 citations). Nancy C. Kan has collaborated with scholars based in United States. Frequent co-authors include Takis S. Papas, James A. Lautenberger, Peter Duesberg, C S Flordellis, Susan DiAngelo, Neil D. Christensen, John W. Kreider, Joseph G. Gall, Clyde A. Hutchison and Marshall H. Edgell. Their work appears in journals such as Proceedings of the National Academy of Sciences, Virology, Science, Journal of Molecular Biology and Journal of 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.