Peter Beard
Impact in
Papers in
-
- DNA Repair Mechanisms 5
- RNA Interference and Gene Delivery 4
- DNA and Nucleic Acid Chemistry 4
- Oncology 20
- Cancer-related Molecular Pathways 11
- Polyomavirus and related diseases 7
- Co-authors
- Kenneth Raj (12 shared papers)Michalis Fragkos (4 shared papers)Jaana Jurvansuu (3 shared papers)Paul Berg (2 shared papers)John F. Morrow (1 shared paper)Viviane Bechtold (2 shared papers)Philippe Saudan (3 shared papers)Lewis I. Pizer (2 shared papers)
- Journals
- Journal of Virology (10 papers)Nature (3 papers)Virology (3 papers)Nucleic Acids Research (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- SwitzerlandUnited StatesIsrael
In The Last Decade
Peter Beard
38 papers receiving 1.8k citations
Peter Beard's Hit Papers
Peers
Comparison fields: 5 of 100
- Genetics 653
- Oncology 477
- Molecular Biology 1.2k
- Animal Science and Zoology 135
- Epidemiology 443
Countries citing papers authored by Peter Beard
This map shows the geographic impact of Peter Beard'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 Peter Beard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Beard more than expected).
Fields of papers citing papers by Peter Beard
This network shows the impact of papers produced by Peter Beard. 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 Peter Beard. The network helps show where Peter Beard may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Beard, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cleavage of Circular, Superhelical Simian Virus 40 DNA to a Linear Duplex by S 1 Nuclease Hit paper breakdown → | 1973 | 184 |
| 2 | 2001 | 158 | |
| 3 | 2009 | 141 | |
| 4 | 1998 | 104 | |
| 5 | 1978 | 94 | |
| 6 | 2003 | 94 | |
| 7 | 1997 | 75 | |
| 8 | 2005 | 75 | |
| 9 | 1989 | 71 | |
| 10 | 2006 | 71 | |
| 11 | 2004 | 64 | |
| 12 | 2006 | 64 | |
| 13 | 1998 | 60 | |
| 14 | 2004 | 60 | |
| 15 | 2000 | 51 | |
| 16 | 2011 | 49 | |
| 17 | 1976 | 49 | |
| 18 | 2012 | 48 | |
| 19 | Notch1 can contribute to viral-induced transformation of primary human keratinocytes. | 2003 | 45 |
| 20 | 2007 | 34 |
About Peter Beard
Peter Beard is a scholar working on Molecular Biology, Oncology, Genetics, Epidemiology and Surgery, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (11 papers), Cancer-related Molecular Pathways (11 papers), Cervical Cancer and HPV Research (8 papers), Polyomavirus and related diseases (7 papers), DNA Repair Mechanisms (5 papers), Hepatitis B Virus Studies (4 papers), RNA Interference and Gene Delivery (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Genetics (653 citations), Oncology (477 citations), Molecular Biology (1.2k citations), Animal Science and Zoology (135 citations) and Epidemiology (443 citations). Peter Beard has collaborated with scholars based in Switzerland, United States and Israel. Frequent co-authors include Kenneth Raj, Michalis Fragkos, Jaana Jurvansuu, Paul Berg, John F. Morrow, Viviane Bechtold, Philippe Saudan, Lewis I. Pizer, Ivana Samaržija and Jean Benhattar. Their work appears in journals such as Journal of Virology, Nature, Virology, Nucleic Acids Research and Journal of Molecular 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.