E Paucha
Impact in
Papers in
- Oncology 14
- Polyomavirus and related diseases 11
-
- Viral Infectious Diseases and Gene Expression in Insects 3
- CRISPR and Genetic Engineering 3
- Co-authors
- Alan E. Smith (11 shared papers)James A. DeCaprio (2 shared papers)John W. Ludlow (2 shared papers)Chun‐Ming Huang (1 shared paper)W H Lee (1 shared paper)R Smith (3 shared papers)Robert F. Harvey (5 shared papers)Daniel Kalderon (3 shared papers)
- Journals
- Journal of Virology (7 papers)Cell (4 papers)Virology (3 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
E Paucha
24 papers receiving 1.8k citations
E Paucha's Hit Papers
Peers
Comparison fields: 5 of 81
- Oncology 1.3k
- Genetics 822
- Ophthalmology 239
- Ecology 474
- Molecular Biology 922
Countries citing papers authored by E Paucha
This map shows the geographic impact of E Paucha'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 E Paucha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Paucha more than expected).
Fields of papers citing papers by E Paucha
This network shows the impact of papers produced by E Paucha. 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 E Paucha. The network helps show where E Paucha may publish in the future.
Co-authors
The 25 scholars most cited alongside E Paucha, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 468 | |
| 2 | Organization and expression of early genes of simian virus 40 Hit paper breakdown → | 1978 | 235 |
| 3 | 1989 | 221 | |
| 4 | 1988 | 120 | |
| 5 | 1979 | 107 | |
| 6 | 1986 | 106 | |
| 7 | 1978 | 102 | |
| 8 | 1978 | 94 | |
| 9 | 1990 | 86 | |
| 10 | 1985 | 85 | |
| 11 | 1988 | 82 | |
| 12 | 1980 | 61 | |
| 13 | 1978 | 60 | |
| 14 | 1974 | 49 | |
| 15 | 1991 | 47 | |
| 16 | 1978 | 36 | |
| 17 | 1980 | 30 | |
| 18 | 1988 | 29 | |
| 19 | 1985 | 26 | |
| 20 | 1989 | 23 |
About E Paucha
E Paucha is a scholar working on Oncology, Molecular Biology, Ecology, Genetics and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 2.1k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (11 papers), Bacteriophages and microbial interactions (10 papers), Virus-based gene therapy research (9 papers), Viral Infections and Immunology Research (4 papers), Plant Virus Research Studies (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Oncology (1.3k citations), Genetics (822 citations), Ophthalmology (239 citations), Ecology (474 citations) and Molecular Biology (922 citations). E Paucha has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alan E. Smith, James A. DeCaprio, John W. Ludlow, Chun‐Ming Huang, W H Lee, R Smith, Robert F. Harvey, Daniel Kalderon, David M. Livingston and Erika Marsilio. Their work appears in journals such as Journal of Virology, Cell, Virology, Proceedings of the National Academy of Sciences and Molecular and Cellular Biology.
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.