Eva Paucha
Impact in
- Oncology top 2%
- Polyomavirus and related diseases
- Cancer-related Molecular Pathways
- Molecular Biology top 10%
- Genomics and Chromatin Dynamics
- Nuclear Structure and Function
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
Papers in
- Oncology 16
- Polyomavirus and related diseases 16
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- RNA and protein synthesis mechanisms 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Nuclear Structure and Function 1
- Protein Structure and Dynamics 1
- Genomics and Chromatin Dynamics 1
- Co-authors
- Alan E. Smith (11 shared papers)David M. Livingston (3 shared papers)James A. DeCaprio (2 shared papers)John W. Ludlow (2 shared papers)Chun‐Ming Huang (1 shared paper)Wen‐Hwa Lee (1 shared paper)Ros Smith (2 shared papers)Robert F. Harvey (4 shared papers)
- Journals
- Journal of Virology (7 papers)Cell (4 papers)Virology (3 papers)Proceedings of the National Academy of Sciences (2 papers)The EMBO Journal (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Eva Paucha
22 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 62
- Oncology 1.3k
- Molecular Biology 525
- Epidemiology 132
- Immunology 72
- Ophthalmology 35
Countries citing papers authored by Eva Paucha
This map shows the geographic impact of Eva 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 Eva Paucha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Paucha more than expected).
Fields of papers citing papers by Eva Paucha
This network shows the impact of papers produced by Eva 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 Eva Paucha. The network helps show where Eva Paucha may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1989 | 444 | |
| 2 | 1978 | 229 | |
| 3 | 1989 | 207 | |
| 4 | 1988 | 115 | |
| 5 | 1979 | 106 | |
| 6 | 1978 | 101 | |
| 7 | 1986 | 100 | |
| 8 | 1978 | 89 | |
| 9 | 1990 | 85 | |
| 10 | 1988 | 81 | |
| 11 | 1985 | 77 | |
| 12 | 1978 | 57 | |
| 13 | 1980 | 57 | |
| 14 | 1974 | 49 | |
| 15 | 1991 | 45 | |
| 16 | 1978 | 35 | |
| 17 | 1985 | 23 | |
| 18 | 1982 | 20 | |
| 19 | 1989 | 20 | |
| 20 | 1984 | 15 |
About Eva Paucha
Eva Paucha is a scholar working on Oncology, Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 22 papers that have together received 2k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (16 papers), Virology and Viral Diseases (3 papers), RNA and protein synthesis mechanisms (2 papers), Viral Infections and Immunology Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Nuclear Structure and Function (1 paper), Protein Structure and Dynamics (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Oncology (1.3k citations), Molecular Biology (525 citations), Epidemiology (132 citations), Immunology (72 citations) and Ophthalmology (35 citations). Eva Paucha has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Alan E. Smith, David M. Livingston, James A. DeCaprio, John W. Ludlow, Chun‐Ming Huang, Wen‐Hwa Lee, Ros Smith, Robert F. Harvey, Daniel Kalderon and Erika Marsilio. Their work appears in journals such as Journal of Virology, Cell, Virology, Proceedings of the National Academy of Sciences and The EMBO Journal.
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.