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 8
- Protein Kinase Regulation and GTPase Signaling 5
- 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)Parker C. Wilson (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (1 paper)Cancers (1 paper)Journal of Lipid Research (1 paper)Bioorganic & Medicinal Chemistry (1 paper)Oral Oncology (1 paper)
- Partner nations
- United StatesLebanonCanada
In The Last Decade
Kathryn M. Appleton
14 papers receiving 402 citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 141
- Molecular Biology 315
- Computational Theory and Mathematics 36
- Cell Biology 37
- Oncology 61
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 | 156 | |
| 2 | 2013 | 43 | |
| 3 | 2016 | 36 | |
| 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 | 8 | |
| 13 | 2021 | 1 | |
| 14 | 2019 | 1 |
About Kathryn M. Appleton
Kathryn M. Appleton is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Cell Biology and Physiology, having authored 14 papers that have together received 403 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Melanoma and MAPK Pathways (2 papers), CAR-T cell therapy research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Hippo pathway signaling and YAP/TAZ (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (141 citations), Molecular Biology (315 citations), Computational Theory and Mathematics (36 citations), Cell Biology (37 citations) and Oncology (61 citations). Kathryn M. Appleton has collaborated with scholars based in United States, Lebanon and Canada. 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, Parker C. Wilson, Thomas A. Morinelli and Ayad A. Jaffa. Their work appears in journals such as Molecular Cancer Therapeutics, Cancers, Journal of Lipid Research, Bioorganic & Medicinal Chemistry and Oral Oncology.
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.