Katy L. Everett
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
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- Neurobiology and Insect Physiology Research
Papers in
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- Protein Kinase Regulation and GTPase Signaling 7
- Receptor Mechanisms and Signaling 6
- Phosphodiesterase function and regulation 2
- Retinal Development and Disorders 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Dermot M.F. Cooper (7 shared papers)Michelle L. Halls (4 shared papers)Debbie Willoughby (3 shared papers)Philipp Skroblin (2 shared papers)Enno Klußmann (2 shared papers)Luis Vaca (1 shared paper)Jonathan Pacheco (1 shared paper)Matilda Katan (5 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Cancer Immunology Research (3 papers)Diabetes (1 paper)PLoS ONE (1 paper)Cancer Research (1 paper)
- Partner nations
- United KingdomGermanySouth Sudan
In The Last Decade
Katy L. Everett
17 papers receiving 650 citations
Peers
Comparison fields: 5 of 67
- Sensory Systems 86
- Cellular and Molecular Neuroscience 117
- Physiology 29
- Biochemistry 37
- Molecular Biology 389
Countries citing papers authored by Katy L. Everett
This map shows the geographic impact of Katy L. Everett'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 Katy L. Everett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katy L. Everett more than expected).
Fields of papers citing papers by Katy L. Everett
This network shows the impact of papers produced by Katy L. Everett. 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 Katy L. Everett. The network helps show where Katy L. Everett may publish in the future.
Co-authors
The 25 scholars most cited alongside Katy L. Everett, 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 | 2012 | 124 | |
| 2 | 2014 | 111 | |
| 3 | 2010 | 67 | |
| 4 | 2009 | 57 | |
| 5 | 2008 | 50 | |
| 6 | 2020 | 46 | |
| 7 | 2009 | 44 | |
| 8 | 2012 | 32 | |
| 9 | 2018 | 25 | |
| 10 | 2013 | 25 | |
| 11 | 2011 | 23 | |
| 12 | 2011 | 19 | |
| 13 | 2012 | 14 | |
| 14 | 2018 | 13 | |
| 15 | 2012 | 4 | |
| 16 | 2017 | 3 | |
| 17 | 2015 | 3 | |
| 18 | 2016 | 1 |
About Katy L. Everett
Katy L. Everett is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Cellular and Molecular Neuroscience and Surgery, having authored 18 papers that have together received 661 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (7 papers), Receptor Mechanisms and Signaling (6 papers), Cancer Immunotherapy and Biomarkers (3 papers), CAR-T cell therapy research (3 papers), Phosphodiesterase function and regulation (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Retinal Development and Disorders (2 papers). The work is most often cited by research in Sensory Systems (86 citations), Cellular and Molecular Neuroscience (117 citations), Physiology (29 citations), Biochemistry (37 citations) and Molecular Biology (389 citations). Katy L. Everett has collaborated with scholars based in United Kingdom, Germany and South Sudan. Frequent co-authors include Dermot M.F. Cooper, Michelle L. Halls, Debbie Willoughby, Philipp Skroblin, Enno Klußmann, Luis Vaca, Jonathan Pacheco, Matilda Katan, Tom D. Bunney and Antonio Ciruela. Their work appears in journals such as Journal of Biological Chemistry, Cancer Immunology Research, Diabetes, PLoS ONE and Cancer Research.
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.