Kate E. Cavanaugh
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
- Cell Biology top 10%
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
Papers in
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- Cellular Mechanics and Interactions 5
- Microtubule and mitosis dynamics 3
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- 3D Printing in Biomedical Research 3
- Co-authors
- Margaret L. Gardel (6 shared papers)Shiladitya Banerjee (4 shared papers)Michael F. Staddon (4 shared papers)Edwin Munro (2 shared papers)Maliha Shaikh (1 shared paper)Martha Hotz Vitaterna (1 shared paper)Shiwen Song (1 shared paper)Yueming Tang (1 shared paper)
- Journals
- PLoS ONE (1 paper)Nature Methods (1 paper)Current Biology (1 paper)Biophysical Journal (1 paper)Current Opinion in Genetics & Development (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Kate E. Cavanaugh
9 papers receiving 558 citations
Peers
Comparison fields: 5 of 96
- Endocrine and Autonomic Systems 94
- Cell Biology 182
- Biological Psychiatry 13
- Aging 9
- Physiology 119
Countries citing papers authored by Kate E. Cavanaugh
This map shows the geographic impact of Kate E. Cavanaugh'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 Kate E. Cavanaugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate E. Cavanaugh more than expected).
Fields of papers citing papers by Kate E. Cavanaugh
This network shows the impact of papers produced by Kate E. Cavanaugh. 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 Kate E. Cavanaugh. The network helps show where Kate E. Cavanaugh may publish in the future.
Co-authors
The 25 scholars most cited alongside Kate E. Cavanaugh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 209 | |
| 2 | 2019 | 99 | |
| 3 | 2019 | 79 | |
| 4 | 2016 | 72 | |
| 5 | 2019 | 57 | |
| 6 | 2022 | 20 | |
| 7 | 2020 | 11 | |
| 8 | 2014 | 10 | |
| 9 | 2020 | 9 |
About Kate E. Cavanaugh
Kate E. Cavanaugh is a scholar working on Cell Biology, Biomedical Engineering, Physiology, Cellular and Molecular Neuroscience and Clinical Psychology, having authored 9 papers that have together received 566 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (5 papers), Microtubule and mitosis dynamics (3 papers), 3D Printing in Biomedical Research (3 papers), Pharmacogenetics and Drug Metabolism (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Circadian rhythm and melatonin (1 paper), Fatty Acid Research and Health (1 paper) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (94 citations), Cell Biology (182 citations), Biological Psychiatry (13 citations), Aging (9 citations) and Physiology (119 citations). Kate E. Cavanaugh has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Margaret L. Gardel, Shiladitya Banerjee, Michael F. Staddon, Edwin Munro, Maliha Shaikh, Martha Hotz Vitaterna, Shiwen Song, Yueming Tang, Christopher B. Forsyth and Fred W. Turek. Their work appears in journals such as PLoS ONE, Nature Methods, Current Biology, Biophysical Journal and Current Opinion in Genetics & Development.
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.