Patrick D. Skelton
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 10%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
Papers in
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- Neuroscience and Neuropharmacology Research 4
- Neuroscience and Neural Engineering 3
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- Pluripotent Stem Cells Research 2
- CRISPR and Genetic Engineering 2
- PI3K/AKT/mTOR signaling in cancer 2
- Co-authors
- Bryan W. Luikart (8 shared papers)Radu V. Stan (1 shared paper)Meijie Li (3 shared papers)Paul W. Frazel (1 shared paper)Daehoon Lee (1 shared paper)Hoonkyo Suh (1 shared paper)Loukia Parisiadou (1 shared paper)Chad R. Haney (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Scientific Reports (1 paper)Cells (1 paper)Molecular Psychiatry (1 paper)Neurobiology of Learning and Memory (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Patrick D. Skelton
10 papers receiving 324 citations
Peers
Comparison fields: 5 of 65
- Cellular and Molecular Neuroscience 135
- Cognitive Neuroscience 117
- Developmental Neuroscience 25
- Behavioral Neuroscience 18
- Aging 5
Countries citing papers authored by Patrick D. Skelton
This map shows the geographic impact of Patrick D. Skelton'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 Patrick D. Skelton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick D. Skelton more than expected).
Fields of papers citing papers by Patrick D. Skelton
This network shows the impact of papers produced by Patrick D. Skelton. 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 Patrick D. Skelton. The network helps show where Patrick D. Skelton may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick D. Skelton, 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 | 2014 | 99 | |
| 2 | 2019 | 47 | |
| 3 | 2021 | 46 | |
| 4 | 2016 | 35 | |
| 5 | 2017 | 33 | |
| 6 | 2019 | 29 | |
| 7 | 2019 | 12 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 5 | |
| 11 | 2020 | 0 |
About Patrick D. Skelton
Patrick D. Skelton is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Cell Biology and Immunology, having authored 11 papers that have together received 329 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Neuroscience and Neural Engineering (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Mast cells and histamine (2 papers), Pluripotent Stem Cells Research (2 papers), CRISPR and Genetic Engineering (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (135 citations), Cognitive Neuroscience (117 citations), Developmental Neuroscience (25 citations), Behavioral Neuroscience (18 citations) and Aging (5 citations). Patrick D. Skelton has collaborated with scholars based in United States and Canada. Frequent co-authors include Bryan W. Luikart, Radu V. Stan, Meijie Li, Paul W. Frazel, Daehoon Lee, Hoonkyo Suh, Loukia Parisiadou, Chad R. Haney, Abraham Vázquez‐Guardado and John A. Rogers. Their work appears in journals such as Journal of Neuroscience, Scientific Reports, Cells, Molecular Psychiatry and Neurobiology of Learning and Memory.
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.