Kyle Harrington
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 10%
- Genetics
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Ulrik GüntherTiago FerreiraMark EddisonCameron ArshadiKatie BentleyJordan PollackSylvain Cussat‐BlancÁlvaro Sánchez
- Topics
- Evolutionary Algorithms and Applications (9 papers)Evolution and Genetic Dynamics (9 papers)Evolutionary Game Theory and Cooperation (8 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Kyle Harrington
41 papers receiving 775 citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 365
- Cellular and Molecular Neuroscience 203
- Cell Biology 121
- Genetics 94
- Endocrine and Autonomic Systems 75
Countries citing papers authored by Kyle Harrington
This map shows the geographic impact of Kyle Harrington'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 Kyle Harrington with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Harrington more than expected).
Fields of papers citing papers by Kyle Harrington
This network shows the impact of papers produced by Kyle Harrington. 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 Kyle Harrington. The network helps show where Kyle Harrington may publish in the future.
Co-authorship network of co-authors of Kyle Harrington
This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Harrington. A scholar is included among the top collaborators of Kyle Harrington 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 Kyle Harrington. Kyle Harrington is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 41 | |
| 5 | 7 | |
| 6 | SNT: a unifying toolbox for quantification of neuronal anatomybreakdown → | 205 |
| 7 | 24 | |
| 8 | 30 | |
| 9 | 31 | |
| 10 | 62 | |
| 11 | 4 | |
| 12 | 81 | |
| 13 | 28 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 7 | |
| 17 | 1 | |
| 18 | 83 | |
| 19 | En Route to Signal Inversion in Chemical Computing. | 0 |
| 20 | Emotions for Strategic Real-Time Systems. | 2 |
About Kyle Harrington
Kyle Harrington is a scholar working on Biophysics, Cell Biology and Genetics, having authored 46 papers that have together received 782 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (9 papers), Evolution and Genetic Dynamics (9 papers) and Evolutionary Game Theory and Cooperation (8 papers). The work is most often cited by research in Biophysics (74 citations), Cellular and Molecular Neuroscience (203 citations) and Endocrine and Autonomic Systems (75 citations). Kyle Harrington has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Ulrik Günther, Tiago Ferreira, Mark Eddison, Cameron Arshadi, Katie Bentley, Jordan Pollack, Sylvain Cussat‐Blanc, Álvaro Sánchez, Shane P. Herbert and Donna J. Page. Their work appears in journals such as Nature Communications, Nature Neuroscience and Bioinformatics.
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.