Peter Pelka
Impact in
- Genetics top 5%
- Virus-based gene therapy research
-
- Viral Infectious Diseases and Gene Expression in Insects
- RNA Research and Splicing
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 12
- RNA Research and Splicing 10
- RNA modifications and cancer 4
- RNA Interference and Gene Delivery 4
- CRISPR and Genetic Engineering 3
- Cancer-related gene regulation 3
- Genetics 26
- Virus-based gene therapy research 25
- Co-authors
- Joe S. Mymryk (13 shared papers)Jailal Ablack (6 shared papers)Ahmed F. Yousef (7 shared papers)Gregory J. Fonseca (7 shared papers)Andrew S. Turnell (6 shared papers)Richard Jung (3 shared papers)Roger J.A. Grand (5 shared papers)Peter Whyte (5 shared papers)
- Journals
- Journal of Virology (13 papers)Viruses (3 papers)Virology (3 papers)Heliyon (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Peter Pelka
37 papers receiving 774 citations
Peers
Comparison fields: 5 of 75
- Genetics 480
- Molecular Biology 594
- Immunology 140
- Oncology 141
- Endocrinology 25
Countries citing papers authored by Peter Pelka
This map shows the geographic impact of Peter Pelka'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 Pelka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Pelka more than expected).
Fields of papers citing papers by Peter Pelka
This network shows the impact of papers produced by Peter Pelka. 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 Pelka. The network helps show where Peter Pelka may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Pelka, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 122 | |
| 2 | 2020 | 54 | |
| 3 | 2009 | 48 | |
| 4 | 2011 | 42 | |
| 5 | 2002 | 36 | |
| 6 | 2019 | 33 | |
| 7 | 2014 | 30 | |
| 8 | 2015 | 29 | |
| 9 | 2013 | 28 | |
| 10 | 2019 | 27 | |
| 11 | 2010 | 26 | |
| 12 | 2008 | 26 | |
| 13 | 2012 | 22 | |
| 14 | 2016 | 21 | |
| 15 | 2009 | 19 | |
| 16 | 2016 | 19 | |
| 17 | 2007 | 18 | |
| 18 | 2015 | 17 | |
| 19 | 2020 | 17 | |
| 20 | 2003 | 16 |
About Peter Pelka
Peter Pelka is a scholar working on Molecular Biology, Genetics, Immunology, Infectious Diseases and Oncology, having authored 38 papers that have together received 787 indexed citations. Recurring topics across this work include Virus-based gene therapy research (25 papers), Viral Infectious Diseases and Gene Expression in Insects (12 papers), RNA Research and Splicing (10 papers), RNA modifications and cancer (4 papers), RNA Interference and Gene Delivery (4 papers), CAR-T cell therapy research (3 papers), CRISPR and Genetic Engineering (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Genetics (480 citations), Molecular Biology (594 citations), Immunology (140 citations), Oncology (141 citations) and Endocrinology (25 citations). Peter Pelka has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Joe S. Mymryk, Jailal Ablack, Ahmed F. Yousef, Gregory J. Fonseca, Andrew S. Turnell, Richard Jung, Roger J.A. Grand, Peter Whyte, Megan Mendez and Joseph Torchia. Their work appears in journals such as Journal of Virology, Viruses, Virology, Heliyon and Nucleic Acids Research.
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.