LUDVIK PREVEC
Impact in
Papers in
- Genetics 44
- Virus-based gene therapy research 43
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- Viral gastroenteritis research and epidemiology 14
- Co-authors
- Frank L. Graham (21 shared papers)Andrew J. Bett (4 shared papers)Felicia Lennon Graham (3 shared papers)Wael M. R. Haddara (1 shared paper)C. Yong Kang (2 shared papers)Suresh K. Mittal (6 shared papers)James B. Campbell (3 shared papers)Larry W. Belbeck (2 shared papers)
- Journals
- Journal of General Virology (14 papers)Journal of Virology (12 papers)Virology (10 papers)Virus Research (3 papers)Vaccine (2 papers)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
LUDVIK PREVEC
60 papers receiving 3.9k citations
LUDVIK PREVEC's Hit Papers
Peers
Comparison fields: 5 of 113
- Genetics 2.5k
- Virology 337
- Infectious Diseases 1.1k
- Animal Science and Zoology 520
- Epidemiology 1.0k
Countries citing papers authored by LUDVIK PREVEC
This map shows the geographic impact of LUDVIK PREVEC'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 LUDVIK PREVEC with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites LUDVIK PREVEC more than expected).
Fields of papers citing papers by LUDVIK PREVEC
This network shows the impact of papers produced by LUDVIK PREVEC. 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 LUDVIK PREVEC. The network helps show where LUDVIK PREVEC may publish in the future.
Co-authors
The 25 scholars most cited alongside LUDVIK PREVEC, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | An efficient and flexible system for construction of adenovirus vectors with insertions or deletions in early regions 1 and 3. Hit paper breakdown → | 1994 | 665 |
| 2 | 1995 | 440 | |
| 3 | 1993 | 393 | |
| 4 | 1992 | 223 | |
| 5 | 2003 | 205 | |
| 6 | 1972 | 180 | |
| 7 | 1990 | 136 | |
| 8 | 2006 | 133 | |
| 9 | 1993 | 130 | |
| 10 | 1989 | 117 | |
| 11 | 1969 | 110 | |
| 12 | 1995 | 107 | |
| 13 | 1971 | 90 | |
| 14 | 1996 | 78 | |
| 15 | 1995 | 72 | |
| 16 | 1992 | 71 | |
| 17 | 1970 | 69 | |
| 18 | 1970 | 68 | |
| 19 | 1993 | 61 | |
| 20 | 1991 | 56 |
About LUDVIK PREVEC
LUDVIK PREVEC is a scholar working on Genetics, Infectious Diseases, Animal Science and Zoology, Epidemiology and Virology, having authored 60 papers that have together received 4.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (43 papers), Virology and Viral Diseases (21 papers), Viral Infectious Diseases and Gene Expression in Insects (17 papers), Viral gastroenteritis research and epidemiology (14 papers), Animal Virus Infections Studies (14 papers), Plant Virus Research Studies (9 papers), Rabies epidemiology and control (5 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Genetics (2.5k citations), Virology (337 citations), Infectious Diseases (1.1k citations), Animal Science and Zoology (520 citations) and Epidemiology (1.0k citations). LUDVIK PREVEC has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Frank L. Graham, Andrew J. Bett, Felicia Lennon Graham, Wael M. R. Haddara, C. Yong Kang, Suresh K. Mittal, C. Yong Kang, James B. Campbell, Larry W. Belbeck and Angus Graham. Their work appears in journals such as Journal of General Virology, Journal of Virology, Virology, Virus Research and Vaccine.
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.