Peter Chase

2.6k citations
69 papers · 2.1k · h-index 24

Impact in

Papers in

Peter Chase

67 papers receiving 2.1k citations

Peers

Peter Chase
Comparison fields: 5 of 114
  • Physiology 124
  • Molecular Biology 1.2k
  • Cell Biology 283
  • Sensory Systems 66
  • Computational Theory and Mathematics 249
Replace S. Adrian Saldanha with:
S. Adrian Saldanha United States
Christoph Schächtele Germany
James M. Trevillyan United States
HaJeung Park United States
Karen L. Leach United States
Amer Alam United States
Ricardo M. Biondi Germany
Laurent Désaubry France
Choel Kim United States
Károly Liliom Hungary
Peter Chase relative to S. Adrian Saldanha United States S. Adrian Saldanha's profile →
Citations per field
00.5×1.5×
S. Adrian Saldanha · 1×
Citations per year

Countries citing papers authored by Peter Chase

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Peter Chase Line = papers co-authored together Peter Chase links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011267
2 2012162
3 2014152
4 2010106
5 2013101
6 201594
7 201192
8 199085
9 201379
10 201359
11 200952
12 200850
13 200848
14 200844
15 200842
16 201137
17 201437
18 199735
19 201535
20 201131

About Peter Chase

Peter Chase is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Cell Biology and Organic Chemistry, having authored 69 papers that have together received 2.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 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), Computational Drug Discovery Methods (5 papers), Ubiquitin and proteasome pathways (4 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Physiology (124 citations), Molecular Biology (1.2k citations), Cell Biology (283 citations), Sensory Systems (66 citations) and Computational Theory and Mathematics (249 citations). Peter Chase has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Peter Hodder, Timothy Spicer, Franck Madoux, Hugh Rosen, S. Adrian Saldanha, Dmitriy Minond, Craig W. Lindsley, Patrick R. Griffin, Frank J. Schoenen and Patrick Porubsky. 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.

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