David Trkula
Impact in
- Epidemiology top 10%
- Herpesvirus Infections and Treatments
- Cytomegalovirus and herpesvirus research
- Virology top 10%
Papers in
- Epidemiology 13
- Herpesvirus Infections and Treatments 11
- Cytomegalovirus and herpesvirus research 5
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- DNA and Nucleic Acid Chemistry 3
- Co-authors
- Saul Kit (23 shared papers)Wai‐Choi Leung (9 shared papers)D. R. Dubbs (15 shared papers)George N. Jorgensen (7 shared papers)Hamida Qavi (8 shared papers)Haruki Otsuka (8 shared papers)Max A. Lauffer (3 shared papers)Malon Kit (1 shared paper)
- Journals
- Archives of Biochemistry and Biophysics (4 papers)Biochemical and Biophysical Research Communications (3 papers)International Journal of Cancer (3 papers)Journal of Virology (2 papers)Virology (2 papers)
- Partner nations
- United StatesIsrael
In The Last Decade
David Trkula
29 papers receiving 533 citations
Peers
Comparison fields: 5 of 60
- Epidemiology 308
- Virology 37
- Genetics 162
- Oncology 142
- Immunology 114
Countries citing papers authored by David Trkula
This map shows the geographic impact of David Trkula'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 David Trkula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Trkula more than expected).
Fields of papers citing papers by David Trkula
This network shows the impact of papers produced by David Trkula. 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 David Trkula. The network helps show where David Trkula may publish in the future.
Co-authors
The 19 scholars most cited alongside David Trkula, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1974 | 69 | |
| 2 | 1975 | 63 | |
| 3 | 1983 | 60 | |
| 4 | 1973 | 60 | |
| 5 | 1974 | 36 | |
| 6 | 1973 | 31 | |
| 7 | 1970 | 30 | |
| 8 | 1956 | 27 | |
| 9 | Viral-induced thymidine kinase isozymes. | 1975 | 26 |
| 10 | 1980 | 25 | |
| 11 | 1978 | 23 | |
| 12 | 1983 | 22 | |
| 13 | 1972 | 20 | |
| 14 | 1973 | 19 | |
| 15 | 1974 | 18 | |
| 16 | 1975 | 16 | |
| 17 | 1956 | 16 | |
| 18 | 1974 | 14 | |
| 19 | 1981 | 12 | |
| 20 | 1978 | 11 |
About David Trkula
David Trkula is a scholar working on Epidemiology, Molecular Biology, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 649 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (11 papers), Virus-based gene therapy research (9 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Bacteriophages and microbial interactions (4 papers), Polyomavirus and related diseases (3 papers), DNA and Nucleic Acid Chemistry (3 papers) and Toxin Mechanisms and Immunotoxins (3 papers). The work is most often cited by research in Epidemiology (308 citations), Virology (37 citations), Genetics (162 citations), Oncology (142 citations) and Immunology (114 citations). David Trkula has collaborated with scholars based in United States and Israel. Frequent co-authors include Saul Kit, Wai‐Choi Leung, D. R. Dubbs, George N. Jorgensen, Hamida Qavi, Haruki Otsuka, Max A. Lauffer, Malon Kit, Katsuyuki Nakajima and Lawrence A. Kaplan. Their work appears in journals such as Archives of Biochemistry and Biophysics, Biochemical and Biophysical Research Communications, International Journal of Cancer, Journal of Virology 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.