Sara Sheehan

584 citations
4 papers · 322 · h-index 4

Impact in

  • Genetics top 10%
    • Genetic diversity and population structure
    • Genetic and phenotypic traits in livestock
    • Evolution and Genetic Dynamics
    • Genetic Mapping and Diversity in Plants and Animals
    • Forensic and Genetic Research
    • Genetic Associations and Epidemiology

Papers in

    • Genomics and Phylogenetic Studies 2
    • Identification and Quantification in Food 1
    • Genetic diversity and population structure 3
    • Genetic and phenotypic traits in livestock 1
    • Forensic and Genetic Research 1
    • Genetic Mapping and Diversity in Plants and Animals 1

Sara Sheehan

4 papers receiving 317 citations

Peers

Sara Sheehan
Comparison fields: 5 of 49
  • Genetics 233
  • Paleontology 16
  • Ecological Modeling 9
  • Molecular Biology 124
  • Ecology 32
Replace Matthias Steinrücken with:
Matthias Steinrücken United States
Anand Bhaskar United States
Clemens Lakner United States
Fanny Pouyet France
Ulaş Işıldak Türkiye
Graham Gower United States
István Miklós Hungary
David A. Christie United Kingdom
Fabio Pardi France
Sungsik Kong United States
Sara Sheehan relative to Matthias Steinrücken United States Matthias Steinrücken's profile →
Citations per field
00.5×4.5×
Matthias Steinrücken · 1×
Citations per year

Countries citing papers authored by Sara Sheehan

Since Specialization
Citations

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

Fields of papers citing papers by Sara Sheehan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 3 scholars most cited alongside Sara Sheehan, 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 Sara Sheehan Line = papers co-authored together Sara Sheehan links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Sara Sheehan

Sara Sheehan is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 322 indexed citations. Recurring topics across this work include Genetic diversity and population structure (3 papers), Genomics and Phylogenetic Studies (2 papers), Identification and Quantification in Food (1 paper), Genetic and phenotypic traits in livestock (1 paper), Bayesian Methods and Mixture Models (1 paper), Forensic and Genetic Research (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Genetics (233 citations), Paleontology (16 citations), Ecological Modeling (9 citations), Molecular Biology (124 citations) and Ecology (32 citations). Sara Sheehan has collaborated with scholars based in United States. Frequent co-authors include Yun S. Song, Kelley Harris and Jack Kamm. Their work appears in journals such as Genetics, PLoS Computational Biology, Bioinformatics and Lecture notes in computer 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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