Jessica Stapley

4.6k citations
56 papers · 2.5k indexed · 2 hit papers · h-index 25

Jessica Stapley

53 papers receiving 2.5k citations

Hit Papers

Variation in recombination frequency and distrib...2632010202620152020100200300400

Peers

Jessica Stapley
Comparison fields: 5 of 112
  • Ecology, Evolution, Behavior and Systematics 925
  • Genetics 1.2k
  • Ecological Modeling 119
  • Ecology 557
  • Nature and Landscape Conservation 232
Replace Robert Ekblom with:
Robert Ekblom Sweden
Peter Crnokrak Canada
Erica L. Larson United States
Emily H. Kay United States
Juan Galindo Spain
Sheldon I. Guttman United States
Jesse W. Breinholt United States
Delbert W. Hutchison United States
Aaron W. Schrey United States
Inger Skrede Norway
Jessica Stapley relative to Robert Ekblom Sweden Robert Ekblom's profile →
Citations per field
00.5×1.6×
Robert Ekblom · 1×
Citations per year

Countries citing papers authored by Jessica Stapley

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Stapley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jessica Stapley, 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 Jessica Stapley Line = papers co-authored together Jessica Stapley links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20233
3 20238
4 20235
5 20217
6 201963
7 201810
8
Variation in recombination frequency and distribution across eukaryotes: patterns and processesbreakdown →
2017263
9 201717
10 201750
11 2016155
12 201522
13 201117
14 201021
15 201074
16 201016
17 2010118
18 200615
19 200689
20 20036

About Jessica Stapley

Jessica Stapley is a scholar working on Horticulture, Ecology, Evolution, Behavior and Systematics and Global and Planetary Change, having authored 56 papers that have together received 2.5k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (18 papers), Amphibian and Reptile Biology (15 papers), Plant and animal studies (15 papers), Genetic diversity and population structure (14 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Evolution and Genetic Dynamics (6 papers), Wildlife Ecology and Conservation (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (925 citations), Genetics (1.2k citations) and Ecological Modeling (119 citations). Jessica Stapley has collaborated with scholars based in Australia, United Kingdom and Switzerland. Frequent co-authors include Jon Slate, Anna W. Santure, Philine G. D. Feulner, Carole M. Smadja, Terry Burke, T. R. Birkhead, Alexander D. Ball, J. Scott Keogh, Clair Bennison and Susan E. Johnston. Their work appears in journals such as Molecular Ecology, Animal Behaviour, Behavioral Ecology and Sociobiology, Trends in Ecology & Evolution and Philosophical Transactions of the Royal Society B Biological Sciences.

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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