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
- Ronald B. Walter (1 shared paper)Yingjia Shen (1 shared paper)Angelo Bisazza (1 shared paper)LaDeana Hillier (1 shared paper)John H. Postlethwait (1 shared paper)Manfred Schartl (1 shared paper)Klaus‐Peter Lesch (1 shared paper)Susan I. Fuerstenberg (1 shared paper)
- Journals
- European Journal of Emergency Medicine (1 paper)Genome biology (1 paper)Nature Genetics (1 paper)Database (1 paper)The American Journal of Human Genetics (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Steve Searle
6 papers receiving 318 citations
Peers
Comparison fields: 5 of 71
- Genetics 115
- Aquatic Science 29
- Nature and Landscape Conservation 39
- Aging 4
- Molecular Biology 153
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 | 205 | |
| 2 | 2009 | 64 | |
| 3 | 2017 | 37 | |
| 4 | 2021 | 14 | |
| 5 | Ensembl’s annotation pipeline and its use in eukaryotic genomes | 2006 | 2 |
| 6 | 2010 | 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 323 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 (115 citations), Aquatic Science (29 citations), Nature and Landscape Conservation (39 citations), Aging (4 citations) and Molecular Biology (153 citations). Steve Searle has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Ronald B. Walter, Yingjia Shen, Angelo Bisazza, LaDeana Hillier, John H. Postlethwait, Manfred Schartl, Klaus‐Peter Lesch, Susan I. Fuerstenberg, Wesley C. Warren and Richard K. Wilson. Their work appears in journals such as European Journal of Emergency Medicine, Genome biology, Nature Genetics, Database and The American Journal of Human Genetics.
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.