Steve Searle
Impact in
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- Genetic diversity and population structure
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Aquatic Science top 10%
Papers in
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- Genomics and Phylogenetic Studies 5
- RNA modifications and cancer 1
- CRISPR and Genetic Engineering 1
- Molecular Biology Techniques and Applications 1
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- Natural Language Processing Techniques 1
- Co-authors
- Manfred Schartl (1 shared paper)Ingo Braasch (1 shared paper)Julian Catchen (1 shared paper)Domitille Chalopin (1 shared paper)Yingjia Shen (1 shared paper)Klaus‐Peter Lesch (1 shared paper)Richard K. Wilson (1 shared paper)Angelo Bisazza (1 shared paper)
- Journals
- European Journal of Emergency Medicine (1 paper)Nature Genetics (1 paper)Genome biology (1 paper)The American Journal of Human Genetics (1 paper)Database (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Steve Searle
6 papers receiving 306 citations
Peers
Comparison fields: 5 of 69
- Genetics 110
- Aquatic Science 28
- Nature and Landscape Conservation 38
- Aging 4
- Molecular Biology 145
Countries citing papers authored by Steve Searle
This map shows the geographic impact of Steve Searle'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 Steve Searle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Searle more than expected).
Fields of papers citing papers by Steve Searle
This network shows the impact of papers produced by Steve Searle. 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 Steve Searle. The network helps show where Steve Searle may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Searle, 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 | 2013 | 197 | |
| 2 | 2009 | 61 | |
| 3 | 2017 | 35 | |
| 4 | 2021 | 14 | |
| 5 | 2010 | 1 | |
| 6 | Ensembl’s annotation pipeline and its use in eukaryotic genomes | 2006 | 1 |
About Steve Searle
Steve Searle is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Emergency Medicine and Plant Science, having authored 6 papers that have together received 309 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Genetic diversity and population structure (1 paper), Emergency and Acute Care Studies (1 paper), Natural Language Processing Techniques (1 paper), Chromosomal and Genetic Variations (1 paper), RNA modifications and cancer (1 paper), CRISPR and Genetic Engineering (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Genetics (110 citations), Aquatic Science (28 citations), Nature and Landscape Conservation (38 citations), Aging (4 citations) and Molecular Biology (145 citations). Steve Searle has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Manfred Schartl, Ingo Braasch, Julian Catchen, Domitille Chalopin, Yingjia Shen, Klaus‐Peter Lesch, Richard K. Wilson, Angelo Bisazza, Wesley C. Warren and Ronald B. Walter. Their work appears in journals such as European Journal of Emergency Medicine, Nature Genetics, Genome biology, The American Journal of Human Genetics and Database.
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.