S Best

1.7k citations
4 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

    • RNA Research and Splicing 1
    • Genomics and Phylogenetic Studies 1
    • Gene expression and cancer classification 1
    • Genetic Associations and Epidemiology 1
    • Hemoglobinopathies and Related Disorders 1

S Best

4 papers receiving 1.1k citations

S Best's Hit Papers

Automated binning of microsatellite alleles: problems and solutions 2006 · 995 citations
9950+6+13Years since publication250500750

Peers

S Best
Comparison fields: 5 of 88
  • Genetics 736
  • Nature and Landscape Conservation 229
  • Urology 95
  • Ecology, Evolution, Behavior and Systematics 261
  • Ecological Modeling 57
Replace Chris Moran with:
Chris Moran Australia
Ian R. Franklin Australia
Linda M. Penfold United States
Ira F. Greenbaum United States
Larry E. Watrous United States
Carey Krajewski United States
Gillian C. Gibb New Zealand
Barbara Mantovani Italy
H A Orr United States
S Best relative to Chris Moran Australia Chris Moran's profile →
Citations per field
00.5×1.5×2.0×
Chris Moran · 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 17 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

4 of 4 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 4 papers that have together received 1.2k indexed citations. Recurring topics across this work include melanin and skin pigmentation (1 paper), HIV Research and Treatment (1 paper), Genetic Associations and Epidemiology (1 paper), Hemoglobinopathies and Related Disorders (1 paper), RNA Research and Splicing (1 paper), Chromosomal and Genetic Variations (1 paper), Genomics and Phylogenetic Studies (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Genetics (736 citations), Nature and Landscape Conservation (229 citations), Urology (95 citations), Ecology, Evolution, Behavior and Systematics (261 citations) and Ecological Modeling (57 citations). S Best has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include A J Frodsham, William Amos, Joseph I. Hoffman, Adrian V. S. Hill, Jonathan P. Stoye, John M. Coffin, Sabine Fenner, Chris Moran, María Begoña Cachón-González and Nagendra Kumar Kaushik. Their work appears in journals such as Annals of Human Genetics, Mammalian Genome, Proceedings of the National Academy of Sciences 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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