Peter Chase

2.5k citations
68 papers · 2.0k · h-index 24

Impact in

  • Physiology top 2%
    • Calcium signaling and nucleotide metabolism
    • Receptor Mechanisms and Signaling
    • Ubiquitin and proteasome pathways

Papers in

Peter Chase

66 papers receiving 2.0k citations

Peers

Peter Chase
Comparison fields: 5 of 117
  • Physiology 122
  • Molecular Biology 1.2k
  • Cell Biology 280
  • Computational Theory and Mathematics 248
  • Sensory Systems 65
Replace S. Adrian Saldanha with:
S. Adrian Saldanha United States
Samarjit Patnaik United States
Aldo Jongejan Netherlands
Lifeng Pan China
Charles A. Lunn United States
HaJeung Park United States
Karen L. Leach United States
Ricardo M. Biondi Germany
N. Burgess-Brown United Kingdom
Marcos E. Milla United States
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 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011259
2 2012155
3 2014144
4 2010104
5 2013100
6 201590
7 201187
8 199080
9 201373
10 201356
11 200950
12 200848
13 200848
14 200844
15 200840
16 201137
17 201436
18 199735
19 201131
20 201531

About Peter Chase

Peter Chase is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Cell Biology and Organic Chemistry, 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), Protein Degradation and Inhibitors (4 papers), Microtubule and mitosis dynamics (4 papers) and Estrogen and related hormone effects (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, Patrick R. Griffin, Frank J. Schoenen and Kelin Li. 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.

Explore authors with similar magnitude of impact