Peter S. Chase
Impact in
- Physiology top 2%
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling
- Ubiquitin and proteasome pathways
Papers in
-
- Receptor Mechanisms and Signaling 20
- Sphingolipid Metabolism and Signaling 5
- Lipid Membrane Structure and Behavior 4
-
- Neuroscience and Neuropharmacology Research 8
- Neuropeptides and Animal Physiology 8
- Co-authors
- Peter Hodder (52 shared papers)Timothy Spicer (25 shared papers)Franck Madoux (17 shared papers)Hugh Rosen (14 shared papers)Sanjay Adrian Saldanha (7 shared papers)Craig W. Lindsley (11 shared papers)Dmitriy Minond (4 shared papers)Frank J. Schoenen (3 shared papers)
- Journals
- SLAS DISCOVERY (13 papers)Bioorganic & Medicinal Chemistry Letters (10 papers)Assay and Drug Development Technologies (5 papers)ACS Chemical Biology (4 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Peter S. Chase
67 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 107
- Physiology 130
- Molecular Biology 1.3k
- Cell Biology 297
- Sensory Systems 72
- Computational Theory and Mathematics 267
Countries citing papers authored by Peter S. Chase
This map shows the geographic impact of Peter S. 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 S. 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 S. Chase more than expected).
Fields of papers citing papers by Peter S. Chase
This network shows the impact of papers produced by Peter S. 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 S. Chase. The network helps show where Peter S. Chase may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter S. 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
Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 286 | |
| 2 | 2012 | 173 | |
| 3 | 2014 | 156 | |
| 4 | 2010 | 112 | |
| 5 | 2013 | 103 | |
| 6 | 2015 | 100 | |
| 7 | 2011 | 96 | |
| 8 | 1990 | 85 | |
| 9 | 2013 | 80 | |
| 10 | 2013 | 62 | |
| 11 | 2009 | 52 | |
| 12 | 2008 | 51 | |
| 13 | 2008 | 50 | |
| 14 | 2008 | 45 | |
| 15 | 2008 | 39 | |
| 16 | 1997 | 37 | |
| 17 | 2011 | 37 | |
| 18 | 2014 | 37 | |
| 19 | 2015 | 35 | |
| 20 | 2011 | 33 |
About Peter S. Chase
Peter S. Chase is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Oncology and Cancer Research, having authored 70 papers that have together received 2.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Neuroscience and Neuropharmacology Research (8 papers), Neuropeptides and Animal Physiology (8 papers), Peptidase Inhibition and Analysis (6 papers), Sphingolipid Metabolism and Signaling (5 papers), Lipid Membrane Structure and Behavior (4 papers), Estrogen and related hormone effects (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Physiology (130 citations), Molecular Biology (1.3k citations), Cell Biology (297 citations), Sensory Systems (72 citations) and Computational Theory and Mathematics (267 citations). Peter S. Chase has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Peter Hodder, Timothy Spicer, Franck Madoux, Hugh Rosen, Sanjay Adrian Saldanha, Craig W. Lindsley, Dmitriy Minond, Frank J. Schoenen, Patrick R. Porubsky and Patrick R. Griffin. Their work appears in journals such as SLAS DISCOVERY, Bioorganic & Medicinal Chemistry Letters, Assay and Drug Development Technologies, ACS Chemical Biology and Proceedings of the National Academy of Sciences.
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.