Katy L. Everett
Impact in
- Sensory Systems top 5%
- Ion Channels and Receptors
- Physiology top 10%
Papers in
-
- Receptor Mechanisms and Signaling 6
- Protein Kinase Regulation and GTPase Signaling 6
- Phosphodiesterase function and regulation 2
-
- Radiopharmaceutical Chemistry and Applications 2
- 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)Enno Klußmann (2 shared papers)Philipp Skroblin (2 shared papers)Jonathan Pacheco (1 shared paper)Tom D. Bunney (4 shared papers)Matilda Katan (4 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Cancer Immunology Research (3 papers)Methods (1 paper)Cancer Research (1 paper)Diabetes (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Katy L. Everett
16 papers receiving 629 citations
Peers
Comparison fields: 5 of 69
- Sensory Systems 85
- Physiology 30
- Cellular and Molecular Neuroscience 119
- Biochemistry 37
- Molecular Biology 390
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 | 115 | |
| 2 | 2014 | 112 | |
| 3 | 2010 | 66 | |
| 4 | 2009 | 54 | |
| 5 | 2008 | 50 | |
| 6 | 2020 | 43 | |
| 7 | 2009 | 43 | |
| 8 | 2012 | 32 | |
| 9 | 2013 | 25 | |
| 10 | 2018 | 22 | |
| 11 | 2011 | 22 | |
| 12 | 2011 | 19 | |
| 13 | 2012 | 14 | |
| 14 | 2018 | 13 | |
| 15 | 2012 | 4 | |
| 16 | 2017 | 3 | |
| 17 | 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 17 papers that have together received 638 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), CAR-T cell therapy research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Pancreatic function and diabetes (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Phosphodiesterase function and regulation (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Sensory Systems (85 citations), Physiology (30 citations), Cellular and Molecular Neuroscience (119 citations), Biochemistry (37 citations) and Molecular Biology (390 citations). Katy L. Everett has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Dermot M.F. Cooper, Michelle L. Halls, Debbie Willoughby, Enno Klußmann, Philipp Skroblin, Jonathan Pacheco, Tom D. Bunney, Matilda Katan, Luis Vaca and Antonio Ciruela. Their work appears in journals such as Journal of Biological Chemistry, Cancer Immunology Research, Methods, Cancer Research and Diabetes.
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.