Faye Lawrence

3.2k citations
5 papers · 661 · h-index 5

Impact in

  • Aging top 5%
  • Genetics top 5%
    • Genetic diversity and population structure
    • Evolution and Genetic Dynamics
    • Genetic Mapping and Diversity in Plants and Animals
    • Insect and Arachnid Ecology and Behavior
    • Genetic and phenotypic traits in livestock

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 2
    • Genetic diversity and population structure 1
    • Evolution and Genetic Dynamics 1

Faye Lawrence

5 papers receiving 637 citations

Peers

Faye Lawrence
Comparison fields: 5 of 61
  • Aging 55
  • Genetics 424
  • Insect Science 87
  • Cellular and Molecular Neuroscience 124
  • Ecology, Evolution, Behavior and Systematics 130
Replace Justin Hackett with:
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Faye Lawrence relative to Justin Hackett United States Justin Hackett's profile →
Citations per field
00.5×
Justin Hackett · 1×
Citations per year

Countries citing papers authored by Faye Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by Faye Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Faye Lawrence, 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 Faye Lawrence Line = papers co-authored together Faye Lawrence links everyone, so they are left out of the graph.

All Works

About Faye Lawrence

Faye Lawrence is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 5 papers that have together received 661 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (2 papers), Neurobiology and Insect Physiology Research (2 papers), Genetic diversity and population structure (1 paper), Viral gastroenteritis research and epidemiology (1 paper), Invertebrate Immune Response Mechanisms (1 paper), Evolution and Genetic Dynamics (1 paper), Chromosomal and Genetic Variations (1 paper) and Plant Disease Resistance and Genetics (1 paper). The work is most often cited by research in Aging (55 citations), Genetics (424 citations), Insect Science (87 citations), Cellular and Molecular Neuroscience (124 citations) and Ecology, Evolution, Behavior and Systematics (130 citations). Faye Lawrence has collaborated with scholars based in United States. Frequent co-authors include Richard F. Lyman, Trudy F. C. Mackay, Michael M. Magwire, Katherine W. Jordan, Eric A. Stone, Trudy F. C. Mackay, Julien F. Ayroles, Robert R. H. Anholt, Mary Anna Carbone and Stephanie M. Rollmann. Their work appears in journals such as Genetics, The Journal of Pediatrics, Nature Genetics and PLoS 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.

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