S Best

1.7k citations
5 papers · 1.2k · 1 hit paper · h-index 4

Impact in

  • Genetics top 2%
    • Genetic diversity and population structure
    • Genetic and phenotypic traits in livestock
    • Evolution and Genetic Dynamics
    • Fish Ecology and Management Studies

Papers in

    • Genomics and Phylogenetic Studies 1
    • Genomics and Chromatin Dynamics 1
    • Gene expression and cancer classification 1
    • Animal Genetics and Reproduction 1
    • Hemoglobinopathies and Related Disorders 1

S Best

4 papers receiving 1.2k citations

S Best's Hit Papers

Automated binning of microsatellite alleles: problems and solutions 2006 · 1.0k citations
1.0k0+6+13Years since publication2505007501000

Peers

S Best
Comparison fields: 5 of 86
  • Genetics 735
  • Nature and Landscape Conservation 227
  • Urology 97
  • Ecology, Evolution, Behavior and Systematics 248
  • Ecological Modeling 55
Replace Ian R. Franklin with:
Ian R. Franklin Australia
Ira F. Greenbaum United States
Jacques Hausser Switzerland
H A Orr United States
W. Brian Simison United States
Barbara Mantovani Italy
Marie‐Ka Tilak France
M George United States
Émeline Lhuillier France
S Best relative to Ian R. Franklin Australia Ian R. Franklin's profile →
Citations per field
00.5×2.9×
Ian R. Franklin · 1×
Citations per year

Countries citing papers authored by S Best

Since Specialization
Citations

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

Fields of papers citing papers by S Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside S Best, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S Best Line = papers co-authored together S Best links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About S Best

S Best is a scholar working on Molecular Biology, Genetics, Genetics, Virology and Pediatrics, Perinatology and Child Health, having authored 5 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (1 paper), Genomics and Chromatin Dynamics (1 paper), Gene expression and cancer classification (1 paper), Animal Genetics and Reproduction (1 paper), Transgenic Plants and Applications (1 paper), Prenatal Screening and Diagnostics (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Genetics (735 citations), Nature and Landscape Conservation (227 citations), Urology (97 citations), Ecology, Evolution, Behavior and Systematics (248 citations) and Ecological Modeling (55 citations). S Best has collaborated with scholars based in United Kingdom, United States and Tanzania. Frequent co-authors include Joseph I. Hoffman, William Amos, A J Frodsham, Adrian V. S. Hill, Jonathan P. Stoye, John M. Coffin, Sabine Fenner, María Begoña Cachón-González, Chris Moran and Charlotte Martin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Mammalian Genome, Annals of Human Genetics, Nature Cell Biology and Molecular Ecology Notes.

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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