Jessica K. Abbott
- Ecology, Evolution, Behavior and Systematics top 1%
- Genetics top 2%
- Plant Science top 10%
- Molecular Biology
- Global and Planetary Change top 5%
- Co-authors
- Erik SvenssonRoger HärdlingBengt HanssonEdward H. MorrowThomas E. KellerThomas MöritzPeter DoernerThomas P. Gosden
- Topics
- Animal Behavior and Reproduction (34 papers)Plant and animal studies (20 papers)Evolution and Genetic Dynamics (10 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Jessica K. Abbott
54 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 114
- Ecology, Evolution, Behavior and Systematics 912
- Genetics 725
- Plant Science 335
- Molecular Biology 288
- Global and Planetary Change 272
Countries citing papers authored by Jessica K. Abbott
This map shows the geographic impact of Jessica K. Abbott'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 K. Abbott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jessica K. Abbott more than expected).
Fields of papers citing papers by Jessica K. Abbott
This network shows the impact of papers produced by Jessica K. Abbott. 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 K. Abbott. The network helps show where Jessica K. Abbott may publish in the future.
Co-authorship network of co-authors of Jessica K. Abbott
This figure shows the co-authorship network connecting the top 25 collaborators of Jessica K. Abbott. A scholar is included among the top collaborators of Jessica K. Abbott 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 Jessica K. Abbott. Jessica K. Abbott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 11 | |
| 12 | 89 | |
| 13 | 102 | |
| 14 | 17 | |
| 15 | 8 | |
| 16 | Morph-specific variation in intersexual genetic correlations in an intra-specific mimicry system | 17 |
| 17 | 40 | |
| 18 | 58 | |
| 19 | 206 | |
| 20 | 44 |
About Jessica K. Abbott
Jessica K. Abbott is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Nature and Landscape Conservation, having authored 56 papers that have together received 1.6k indexed citations. Recurring topics across this work include Animal Behavior and Reproduction (34 papers), Plant and animal studies (20 papers) and Evolution and Genetic Dynamics (10 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (912 citations), Genetics (725 citations) and Ecological Modeling (76 citations). Jessica K. Abbott has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Erik Svensson, Roger Härdling, Bengt Hansson, Edward H. Morrow, Thomas E. Keller, Thomas Möritz, Peter Doerner, Thomas P. Gosden, Matthew Reimer and Audrey Coreau. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.
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.