Peter E. Warburton
Impact in
- Plant Science top 1%
- Chromosomal and Genetic Variations
- Genetics top 2%
- Genomic variations and chromosomal abnormalities
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
Papers in
-
- Chromosomal and Genetic Variations 42
-
- Genomics and Chromatin Dynamics 16
- RNA and protein synthesis mechanisms 7
- CRISPR and Genetic Engineering 6
- Genomics and Phylogenetic Studies 5
- Co-authors
- Huntington F. Willard (7 shared papers)William C. Earnshaw (5 shared papers)Dan Hasson (6 shared papers)Fanny Cheung (4 shared papers)Gary Benson (3 shared papers)Alicia Alonso (5 shared papers)György Abrusán (6 shared papers)Robert Sebra (1 shared paper)
- Journals
- Molecular and Cellular Biology (3 papers)Chromosoma (3 papers)Cytogenetic and Genome Research (3 papers)Genomics (2 papers)Genome biology (2 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Peter E. Warburton
54 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 99
- Plant Science 1.7k
- Genetics 1.1k
- Molecular Biology 2.1k
- Cell Biology 350
- Reproductive Medicine 69
Countries citing papers authored by Peter E. Warburton
This map shows the geographic impact of Peter E. Warburton'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 E. Warburton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter E. Warburton more than expected).
Fields of papers citing papers by Peter E. Warburton
This network shows the impact of papers produced by Peter E. Warburton. 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 E. Warburton. The network helps show where Peter E. Warburton may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter E. Warburton, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 298 | |
| 2 | 2008 | 244 | |
| 3 | 2004 | 221 | |
| 4 | 2013 | 177 | |
| 5 | 2004 | 138 | |
| 6 | 1986 | 119 | |
| 7 | 2008 | 113 | |
| 8 | 1999 | 101 | |
| 9 | 1991 | 98 | |
| 10 | 2000 | 97 | |
| 11 | 2007 | 95 | |
| 12 | 2023 | 86 | |
| 13 | 1997 | 81 | |
| 14 | 1990 | 81 | |
| 15 | 2010 | 79 | |
| 16 | 2007 | 73 | |
| 17 | 1993 | 71 | |
| 18 | 1996 | 64 | |
| 19 | 2006 | 59 | |
| 20 | 1996 | 49 |
About Peter E. Warburton
Peter E. Warburton is a scholar working on Plant Science, Molecular Biology, Genetics, Cell Biology and Pediatrics, Perinatology and Child Health, having authored 54 papers that have together received 3.0k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (42 papers), Genomic variations and chromosomal abnormalities (19 papers), Genomics and Chromatin Dynamics (16 papers), RNA and protein synthesis mechanisms (7 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers), CRISPR and Genetic Engineering (6 papers), Microtubule and mitosis dynamics (5 papers) and Genomics and Phylogenetic Studies (5 papers). The work is most often cited by research in Plant Science (1.7k citations), Genetics (1.1k citations), Molecular Biology (2.1k citations), Cell Biology (350 citations) and Reproductive Medicine (69 citations). Peter E. Warburton has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Huntington F. Willard, William C. Earnshaw, Dan Hasson, Fanny Cheung, Gary Benson, Alicia Alonso, György Abrusán, Robert Sebra, Shantha K. Mahadevaiah and Peter J. Park. Their work appears in journals such as Molecular and Cellular Biology, Chromosoma, Cytogenetic and Genome Research, Genomics and Genome 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.