Jesse K. Mackey
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Infectious Diseases top 10%
- Viral gastroenteritis research and epidemiology
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 4
- Biochemical and Molecular Research 2
- RNA Interference and Gene Delivery 2
- Genetics 11
- Virus-based gene therapy research 11
- Co-authors
- Maurice Green (12 shared papers)William S.M. Wold (9 shared papers)Michael R. Green (5 shared papers)Karl H. Brackmann (2 shared papers)P. T. Gilham (2 shared papers)G. Chinnadurai (1 shared paper)N. Takemori (1 shared paper)S.C. Srivastava (1 shared paper)
- Journals
- Journal of Virology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Biochemistry (2 papers)Nature (2 papers)Virology (2 papers)
- Partner nations
- United StatesFrance
In The Last Decade
Jesse K. Mackey
19 papers receiving 542 citations
Peers
Comparison fields: 5 of 60
- Genetics 380
- Infectious Diseases 145
- Oncology 201
- Molecular Biology 407
- Toxicology 13
Countries citing papers authored by Jesse K. Mackey
This map shows the geographic impact of Jesse K. Mackey'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 Jesse K. Mackey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse K. Mackey more than expected).
Fields of papers citing papers by Jesse K. Mackey
This network shows the impact of papers produced by Jesse K. Mackey. 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 Jesse K. Mackey. The network helps show where Jesse K. Mackey may publish in the future.
Co-authors
The 20 scholars most cited alongside Jesse K. Mackey, 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 | 1979 | 144 | |
| 2 | 1977 | 103 | |
| 3 | 1979 | 80 | |
| 4 | 1976 | 49 | |
| 5 | 1978 | 45 | |
| 6 | 1971 | 42 | |
| 7 | 1979 | 28 | |
| 8 | 1976 | 24 | |
| 9 | Analysis of human cancer DNA's for DNA sequence of human adenovirus serotypes 3, 7, 11, 14, 16, and 21 in group B1. | 1979 | 23 |
| 10 | 1981 | 23 | |
| 11 | 1976 | 22 | |
| 12 | 1980 | 16 | |
| 13 | 1979 | 16 | |
| 14 | 1973 | 16 | |
| 15 | 1977 | 14 | |
| 16 | 1976 | 10 | |
| 17 | 1981 | 9 | |
| 18 | 1968 | 7 | |
| 19 | 1968 | 4 |
About Jesse K. Mackey
Jesse K. Mackey is a scholar working on Molecular Biology, Genetics, Oncology, Infectious Diseases and Biotechnology, having authored 19 papers that have together received 675 indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Biochemical and Molecular Research (2 papers), Cancer Research and Treatments (2 papers), Polyomavirus and related diseases (2 papers), RNA Interference and Gene Delivery (2 papers) and Antenna Design and Analysis (2 papers). The work is most often cited by research in Genetics (380 citations), Infectious Diseases (145 citations), Oncology (201 citations), Molecular Biology (407 citations) and Toxicology (13 citations). Jesse K. Mackey has collaborated with scholars based in United States and France. Frequent co-authors include Maurice Green, William S.M. Wold, Michael R. Green, Karl H. Brackmann, P. T. Gilham, G. Chinnadurai, N. Takemori, S.C. Srivastava, Ulfert Hornemann and Joyce L. Wiebers. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Biochemistry, Nature 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.