S. Searle

3.2k citations
8 papers · 2.1k · 1 hit paper · h-index 8

Impact in

  • Equine top 1%
  • Genetics top 5%
    • Genetic and phenotypic traits in livestock
    • Genomic variations and chromosomal abnormalities
    • Genetic diversity and population structure

Papers in

    • Genomic variations and chromosomal abnormalities 5
    • Genetic Mapping and Diversity in Plants and Animals 1
    • Animal Genetics and Reproduction 1
    • Genetic diversity and population structure 1
    • Genetic and phenotypic traits in livestock 1
    • Chromosomal and Genetic Variations 5

S. Searle

8 papers receiving 2.0k citations

S. Searle's Hit Papers

Genome Sequence, Comparative Analysis, and Population Genetics of the Domestic Horse 2009 · 634 citations
6340+5+11Years since publication200400600

Peers

S. Searle
Comparison fields: 5 of 125
  • Equine 109
  • Genetics 815
  • Molecular Biology 918
  • Immunology 273
  • Cancer Research 136
Replace Imke Tammen with:
Imke Tammen Australia
Gerli Pielberg Sweden
Patrick J. Venta United States
Lisa Kim United States
Eric Karlins United States
Rebecca R. Bellone United States
Y. Ramsey United Kingdom
Matthew S. Hestand United States
Mark W. Neff United States
Candice Brinkmeyer‐Langford United States
S. Searle relative to Imke Tammen Australia Imke Tammen's profile →
Citations per field
00.5×1.5×2×2.3×
Imke Tammen · 1×
Citations per year

Countries citing papers authored by S. Searle

Since Specialization
Citations

This map shows the geographic impact of S. 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 S. Searle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Searle more than expected).

Fields of papers citing papers by S. Searle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. 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 S. Searle. The network helps show where S. Searle may publish in the future.

No co-authors to show.

All Works

8 of 8 papers shown
#Work
1
Genome Sequence, Comparative Analysis, and Population Genetics of the Domestic Horse
Hit paper breakdown →
2009634
2 2004531
3 2003239
4 2014235
5 2006193
6 2006127
7 200471
8 200464

About S. Searle

S. Searle is a scholar working on Genetics, Plant Science, Molecular Biology, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 8 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), Genomics and Chromatin Dynamics (5 papers), Chromosomal and Genetic Variations (5 papers), Genetic Mapping and Diversity in Plants and Animals (1 paper), Animal Genetics and Reproduction (1 paper), Genetic diversity and population structure (1 paper), RNA Research and Splicing (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Equine (109 citations), Genetics (815 citations), Molecular Biology (918 citations), Immunology (273 citations) and Cancer Research (136 citations). S. Searle has collaborated with scholars based in United Kingdom, United States and Sweden. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Science.

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.

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