Kathryn M. Appleton
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
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- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Receptor Mechanisms and Signaling 7
- Protein Kinase Regulation and GTPase Signaling 4
- Melanoma and MAPK Pathways 2
- PI3K/AKT/mTOR signaling in cancer 2
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- Neuropeptides and Animal Physiology 5
- Co-authors
- Louis M. Luttrell (7 shared papers)Yuri K. Peterson (7 shared papers)Mi‐Hye Lee (5 shared papers)Thomas A. Morinelli (2 shared papers)Stéphane A. Laporte (1 shared paper)Erik G. Strungs (2 shared papers)Hesham M. El‐Shewy (2 shared papers)Thomas A. Morinelli (1 shared paper)
- Journals
- Journal of Lipid Research (1 paper)Cancers (1 paper)Journal of Biological Chemistry (1 paper)Nature (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesPuerto RicoLebanon
In The Last Decade
Kathryn M. Appleton
14 papers receiving 409 citations
Peers
Comparison fields: 5 of 62
- Cellular and Molecular Neuroscience 139
- Molecular Biology 309
- Oncology 58
- Computational Theory and Mathematics 37
- Cell Biology 35
Countries citing papers authored by Kathryn M. Appleton
This map shows the geographic impact of Kathryn M. Appleton'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 Kathryn M. Appleton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn M. Appleton more than expected).
Fields of papers citing papers by Kathryn M. Appleton
This network shows the impact of papers produced by Kathryn M. Appleton. 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 Kathryn M. Appleton. The network helps show where Kathryn M. Appleton may publish in the future.
Co-authors
The 25 scholars most cited alongside Kathryn M. Appleton, 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 | 2016 | 160 | |
| 2 | 2013 | 43 | |
| 3 | 2016 | 38 | |
| 4 | 2016 | 30 | |
| 5 | 2009 | 30 | |
| 6 | 2021 | 21 | |
| 7 | 2013 | 21 | |
| 8 | 2014 | 17 | |
| 9 | 2014 | 17 | |
| 10 | 2013 | 12 | |
| 11 | 2013 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2019 | 1 | |
| 14 | 2021 | 1 |
About Kathryn M. Appleton
Kathryn M. Appleton is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Physiology and Genetics, having authored 14 papers that have together received 410 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (7 papers), Neuropeptides and Animal Physiology (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Melanoma and MAPK Pathways (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), CAR-T cell therapy research (2 papers) and PARP inhibition in cancer therapy (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (139 citations), Molecular Biology (309 citations), Oncology (58 citations), Computational Theory and Mathematics (37 citations) and Cell Biology (35 citations). Kathryn M. Appleton has collaborated with scholars based in United States, Puerto Rico and Lebanon. Frequent co-authors include Louis M. Luttrell, Yuri K. Peterson, Mi‐Hye Lee, Thomas A. Morinelli, Stéphane A. Laporte, Erik G. Strungs, Hesham M. El‐Shewy, Thomas A. Morinelli, Parker C. Wilson and Ayad A. Jaffa. Their work appears in journals such as Journal of Lipid Research, Cancers, Journal of Biological Chemistry, Nature and Methods in enzymology on CD-ROM/Methods in enzymology.
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.