P. Kitts
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Bacterial Genetics and Biotechnology
- Biotechnology top 5%
- Transgenic Plants and Applications
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 4
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 2
- DNA Repair Mechanisms 1
- Identification and Quantification in Food 1
- Cancer therapeutics and mechanisms 1
- Genetics 3
- Virus-based gene therapy research 2
- Co-authors
- R. D. Possee (1 shared paper)Annie Barge (1 shared paper)Pascal Fender (1 shared paper)Jadwiga Chroboczek (1 shared paper)Steven R. Kain (2 shared papers)Te-Tuan Yang (1 shared paper)Mark Adams (1 shared paper)William W. Ward (1 shared paper)
- Journals
- Journal of Virology (1 paper)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Journal of Animal Science (1 paper)BioTechniques (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesUnited KingdomSlovakia
In The Last Decade
P. Kitts
9 papers receiving 714 citations
Peers
Comparison fields: 5 of 70
- Genetics 330
- Biotechnology 95
- Molecular Biology 585
- Biophysics 36
- Infectious Diseases 75
Countries citing papers authored by P. Kitts
This map shows the geographic impact of P. Kitts'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 P. Kitts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Kitts more than expected).
Fields of papers citing papers by P. Kitts
This network shows the impact of papers produced by P. Kitts. 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 P. Kitts. The network helps show where P. Kitts may publish in the future.
Co-authors
The 24 scholars most cited alongside P. Kitts, 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 | A method for producing recombinant baculovirus expression vectors at high frequency. | 1993 | 278 |
| 2 | 1994 | 168 | |
| 3 | Green fluorescent protein as a reporter of gene expression and protein localization. | 1995 | 130 |
| 4 | 1983 | 53 | |
| 5 | 1982 | 38 | |
| 6 | 2016 | 38 | |
| 7 | 1997 | 37 | |
| 8 | 1984 | 23 | |
| 9 | 1998 | 1 |
About P. Kitts
P. Kitts is a scholar working on Molecular Biology, Genetics, Biophysics, Ecology and Oncology, having authored 9 papers that have together received 766 indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (4 papers), CRISPR and Genetic Engineering (3 papers), Virus-based gene therapy research (2 papers), RNA and protein synthesis mechanisms (2 papers), Cell Image Analysis Techniques (1 paper), DNA Repair Mechanisms (1 paper), Identification and Quantification in Food (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Genetics (330 citations), Biotechnology (95 citations), Molecular Biology (585 citations), Biophysics (36 citations) and Infectious Diseases (75 citations). P. Kitts has collaborated with scholars based in United States, United Kingdom and Slovakia. Frequent co-authors include R. D. Possee, Annie Barge, Pascal Fender, Jadwiga Chroboczek, Steven R. Kain, Te-Tuan Yang, Mark Adams, William W. Ward, David J. Sherratt and Lorraine S. Symington. Their work appears in journals such as Journal of Virology, Cold Spring Harbor Symposia on Quantitative Biology, Journal of Animal Science, BioTechniques and Proceedings of the National Academy of Sciences.
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.