Kevin Howe
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 4
- Parasitology top 2%
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 5
- CRISPR and Genetic Engineering 3
- Machine Learning in Bioinformatics 2
- Epigenetics and DNA Methylation 2
- Small Animals top 5%
- Genetics top 5%
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- Cancer Genomics and Diagnostics 3
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- Nematode management and characterization studies 2
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- Insect symbiosis and bacterial influences 2
- Co-authors
- Paul KerseyMatthew BerrimanRichard DurbinBruce J. BoltAlex BatemanSimon TavaréVardhman K. RakyanStephan Beck
- Cited by
- AgingParasitologyMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Molecular Cell (1 paper)Bioinformatics (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Kevin Howe
20 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Aging 234
- Parasitology 247
- Molecular Biology 1.4k
- Small Animals 126
- Genetics 443
Countries citing papers authored by Kevin Howe
This map shows the geographic impact of Kevin Howe'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 Kevin Howe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Howe more than expected).
Fields of papers citing papers by Kevin Howe
This network shows the impact of papers produced by Kevin Howe. 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 Kevin Howe. The network helps show where Kevin Howe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin Howe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | Sequence locally, think globally: The Darwin Tree of Life Projectbreakdown → | 2022 | 172 |
| 3 | 2022 | 18 | |
| 4 | 2019 | 30 | |
| 5 | 2018 | 21 | |
| 6 | 2018 | 40 | |
| 7 | WormBase ParaSite − a comprehensive resource for helminth genomicsbreakdown → | 2016 | 451 |
| 8 | 2016 | 16 | |
| 9 | 2012 | 9 | |
| 10 | 2012 | 35 | |
| 11 | 2011 | 44 | |
| 12 | 2008 | 319 | |
| 13 | 2008 | 290 | |
| 14 | 2006 | 100 | |
| 15 | 2004 | 265 | |
| 16 | 2004 | 45 | |
| 17 | 2002 | 56 | |
| 18 | 2002 | 220 | |
| 19 | 1992 | 5 | |
| 20 | 1983 | 24 |
About Kevin Howe
Kevin Howe is a scholar working on Aging, Ecological Modeling and Cancer Research, having authored 21 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), CRISPR and Genetic Engineering (3 papers), Cancer Genomics and Diagnostics (3 papers), Nematode management and characterization studies (2 papers), Machine Learning in Bioinformatics (2 papers), Epigenetics and DNA Methylation (2 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Aging (234 citations), Parasitology (247 citations) and Molecular Biology (1.4k citations). Kevin Howe has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Paul Kersey, Matthew Berriman, Richard Durbin, Bruce J. Bolt, Alex Bateman, Simon Tavaré, Vardhman K. Rakyan, Stephan Beck, Paul Flicek and Leonard D. Goldstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Bioinformatics.
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.