Paul Kersey
- Molecular Biology top 2%
- Plant Science top 2%
- Genetics top 2%
- Ecology top 5%
- Spectroscopy top 2%
- Co-authors
- D. StainesRolf ApweilerDan BolserKevin HoweEwan BirneyMatthew BerrimanArnaud KerhornouYoula Karavidopoulou
- Topics
- Genomics and Phylogenetic Studies (27 papers)Machine Learning in Bioinformatics (7 papers)Plant Disease Resistance and Genetics (7 papers)
- Cited by
- AgingMolecular BiologyParasitology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Paul Kersey
54 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 3.1k
- Plant Science 1.4k
- Genetics 841
- Ecology 527
- Spectroscopy 423
Countries citing papers authored by Paul Kersey
This map shows the geographic impact of Paul Kersey'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 Paul Kersey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Kersey more than expected).
Fields of papers citing papers by Paul Kersey
This network shows the impact of papers produced by Paul Kersey. 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 Paul Kersey. The network helps show where Paul Kersey may publish in the future.
Co-authorship network of co-authors of Paul Kersey
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Kersey. A scholar is included among the top collaborators of Paul Kersey based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul Kersey. Paul Kersey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 5 | |
| 4 | 83 | |
| 5 | Sequence locally, think globally: The Darwin Tree of Life Projectbreakdown → | 172 |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 17 | |
| 9 | 16 | |
| 10 | 6 | |
| 11 | 104 | |
| 12 | 105 | |
| 13 | 31 | |
| 14 | COPO â" Linked Open Infrastructure for Plant Data. | 1 |
| 15 | 94 | |
| 16 | Ensembl BioMarts: a hub for data retrieval across taxonomic spacebreakdown → | 970 |
| 17 | 28 | |
| 18 | The Integr8 project--a resource for genomic and proteomic data. | 27 |
| 19 | 273 | |
| 20 | Proteome Analysis: Application of InterPro and CluSTr for the Functional Classification of Proteins in Whole Genomes. | 1 |
About Paul Kersey
Paul Kersey is a scholar working on Molecular Biology, Aging and Ecological Modeling, having authored 55 papers that have together received 4.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (27 papers), Machine Learning in Bioinformatics (7 papers) and Plant Disease Resistance and Genetics (7 papers). The work is most often cited by research in Aging (119 citations), Molecular Biology (3.1k citations) and Parasitology (254 citations). Paul Kersey has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include D. Staines, Rolf Apweiler, Dan Bolser, Kevin Howe, Ewan Birney, Matthew Berriman, Arnaud Kerhornou, Youla Karavidopoulou, Jorge Duarte and Bruce J. Bolt. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.