Rachel S. Crowhurst

427 citations
24 papers · 319 indexed · h-index 11
Topics
Genetic diversity and population structure (12 papers)Wildlife Ecology and Conservation (10 papers)Genetic and phenotypic traits in livestock (7 papers)

In The Last Decade

Rachel S. Crowhurst

22 papers receiving 311 citations

Peers

Rachel S. Crowhurst
Comparison fields: 5 of 50
  • Ecology 192
  • Genetics 159
  • Molecular Biology 57
  • Nature and Landscape Conservation 42
  • Ecological Modeling 41
Replace Daniël J. Goedbloed with:
Daniël J. Goedbloed Germany
Hannes Jenny Switzerland
Deidre de Villiers Australia
Gabriel Conroy Australia
Agata Kawałko Poland
Daryl R. Trumbo United States
Saulius Švažas Lithuania
T. Strand Sweden
Ivor Yockney New Zealand
Bryan E. LaFonte United States
Rachel S. Crowhurst relative to Daniël J. Goedbloed Germany Daniël J. Goedbloed's profile →
Citations per field
00.5×1.6×
Daniël J. Goedbloed · 1×
Citations per year

Countries citing papers authored by Rachel S. Crowhurst

Since Specialization
Citations

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

Fields of papers citing papers by Rachel S. Crowhurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel S. Crowhurst

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel S. Crowhurst. A scholar is included among the top collaborators of Rachel S. Crowhurst based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rachel S. Crowhurst. Rachel S. Crowhurst is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 6
4 0
5 11
6 1
7 1
8 35
9 13
10 10
11 15
12 21
13 22
14 46
15 21
16
Fifty years after Welles and Welles: Distribution and genetic structure of Desert Bighorn Sheep in Death Valley National Park
2
17 23
18 60
19 19
20 6

About Rachel S. Crowhurst

Rachel S. Crowhurst is a scholar working on Ecological Modeling, Genetics and Ecology, having authored 24 papers that have together received 319 indexed citations. Recurring topics across this work include Genetic diversity and population structure (12 papers), Wildlife Ecology and Conservation (10 papers) and Genetic and phenotypic traits in livestock (7 papers). The work is most often cited by research in Ecological Modeling (41 citations), Ecology (192 citations) and Genetics (159 citations). Rachel S. Crowhurst has collaborated with scholars based in United States, Australia and Tanzania. Frequent co-authors include Clinton W. Epps, Tyler G. Creech, Erin L. Landguth, Damon B. Lesmeister, Ryan J. Monello, Joshua J. Millspaugh, Katherine A. Zeller, Helene H. Wagner, Robert A. Long and Niko Balkenhol. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Animal Ecology.

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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