Peter Chase
- Physiology top 2%
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling 20
- Sphingolipid Metabolism and Signaling 5
- Ubiquitin and proteasome pathways 4
- Cell Biology top 5%
- Microtubule and mitosis dynamics 4
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- Computational Drug Discovery Methods 4
- Sensory Systems top 5%
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- Neuropeptides and Animal Physiology 8
- Neuroscience and Neuropharmacology Research 7
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- Peptidase Inhibition and Analysis 6
- Co-authors
- Peter HodderTimothy SpicerFranck MadouxHugh RosenS. Adrian SaldanhaDmitriy MinondCraig W. LindsleyFrank J. Schoenen
- Journals
- SLAS DISCOVERY (13 papers)Bioorganic & Medicinal Chemistry Letters (9 papers)Assay and Drug Development Technologies (5 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Peter Chase
66 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 117
- Physiology 122
- Molecular Biology 1.2k
- Cell Biology 280
- Computational Theory and Mathematics 248
- Sensory Systems 65
Countries citing papers authored by Peter Chase
This map shows the geographic impact of Peter Chase'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 Peter Chase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Chase more than expected).
Fields of papers citing papers by Peter Chase
This network shows the impact of papers produced by Peter Chase. 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 Peter Chase. The network helps show where Peter Chase may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Chase, 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 | 2023 | 6 | |
| 2 | 2020 | 23 | |
| 3 | 2018 | 5 | |
| 4 | 2016 | 8 | |
| 5 | 2016 | 7 | |
| 6 | 2015 | 3 | |
| 7 | 2015 | 25 | |
| 8 | 2014 | 4 | |
| 9 | 2014 | 13 | |
| 10 | Children's Early Literacy Development and Adults' Positive Disposition toward Reading through E-Books and Apps | 2014 | 2 |
| 11 | 2014 | 16 | |
| 12 | 2014 | 36 | |
| 13 | 2014 | 21 | |
| 14 | 2013 | 20 | |
| 15 | 2013 | 56 | |
| 16 | 2012 | 13 | |
| 17 | 2012 | 8 | |
| 18 | 2011 | 87 | |
| 19 | 2011 | 37 | |
| 20 | 1997 | 35 |
About Peter Chase
Peter Chase is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Immunology and Allergy, Cell Biology and Virology, having authored 68 papers that have together received 2.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Neuropeptides and Animal Physiology (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Peptidase Inhibition and Analysis (6 papers), Sphingolipid Metabolism and Signaling (5 papers), Microtubule and mitosis dynamics (4 papers), Ubiquitin and proteasome pathways (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Physiology (122 citations), Molecular Biology (1.2k citations), Cell Biology (280 citations), Computational Theory and Mathematics (248 citations) and Sensory Systems (65 citations). Peter Chase has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Peter Hodder, Timothy Spicer, Franck Madoux, Hugh Rosen, S. Adrian Saldanha, Dmitriy Minond, Craig W. Lindsley, Frank J. Schoenen, Patrick R. Griffin and Steve Brown. Their work appears in journals such as SLAS DISCOVERY, Bioorganic & Medicinal Chemistry Letters, Assay and Drug Development Technologies, ACS Chemical Biology and Journal of Medicinal Chemistry.
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.