Emily H. Kay

4.2k citations
7 papers · 2.9k indexed · 1 hit paper · h-index 5
Topics
Animal Ecology and Behavior Studies (2 papers)Genetic diversity and population structure (2 papers)Animal Behavior and Reproduction (2 papers)

In The Last Decade

Emily H. Kay

7 papers receiving 2.8k citations

Hit Papers

Double Digest RADseq: An Inexpensive Method for De Novo S...2012202620162021201250010001.5k2.0k2.5k

Peers

Emily H. Kay
Comparison fields: 5 of 88
  • Genetics 1.8k
  • Molecular Biology 911
  • Ecology 729
  • Ecology, Evolution, Behavior and Systematics 594
  • Plant Science 540
Replace Vítor C. Sousa with:
Vítor C. Sousa Portugal
Jesse N. Weber United States
Éric Bazin France
Noah M. Reid United States
Juan Galindo Spain
Eric J. Routman United States
Benoît Nabholz France
Maren Wellenreuther New Zealand
Daniel Berner Switzerland
Alan Brelsford United States
Emily H. Kay relative to Vítor C. Sousa Portugal Vítor C. Sousa's profile →
Citations per field
00.5×1.5×1.9×
Vítor C. Sousa · 1×
Citations per year

Countries citing papers authored by Emily H. Kay

Since Specialization
Citations

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

Fields of papers citing papers by Emily H. Kay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily H. Kay. 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 Emily H. Kay. The network helps show where Emily H. Kay may publish in the future.

Co-authorship network of co-authors of Emily H. Kay

This figure shows the co-authorship network connecting the top 25 collaborators of Emily H. Kay. A scholar is included among the top collaborators of Emily H. Kay 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 Emily H. Kay. Emily H. Kay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 2
2 128
3
Double Digest RADseq: An Inexpensive Method for De Novo SNP Discovery and Genotyping in Model and Non-Model Speciesbreakdown →
2629
4 22
5 32
6 40
7 2

About Emily H. Kay

Emily H. Kay is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 7 papers that have together received 2.9k indexed citations. Recurring topics across this work include Animal Ecology and Behavior Studies (2 papers), Genetic diversity and population structure (2 papers) and Animal Behavior and Reproduction (2 papers). The work is most often cited by research in Genetics (1.8k citations), Ecological Modeling (269 citations) and Nature and Landscape Conservation (448 citations). Emily H. Kay has collaborated with scholars based in United States, Switzerland and New Zealand. Frequent co-authors include Hopi E. Hoekstra, Jesse N. Weber, Brant K. Peterson, Heidi S. Fisher, Stephen Pruett‐Jones, Jerry A. Coyne, Santiago B. Rompani, Tess A. Linden, Masato Yoshizawa and Clifford J. Tabin. Their work appears in journals such as PLoS ONE, Current Biology and Evolution.

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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