Peter E. Shaw

6.1k citations
71 papers · 5.3k indexed · 2 hit papers · h-index 32
    • Protein Kinase Regulation and GTPase Signaling 15
    • Melanoma and MAPK Pathways 13
    • Ubiquitin and proteasome pathways 9
    • RNA modifications and cancer 9
    • Genomics and Chromatin Dynamics 7
    • NF-κB Signaling Pathways 8
  • Oncology top 2%
    • Cytokine Signaling Pathways and Interactions 10
    • Cancer-related Molecular Pathways 9
  • Immunology top 5%

Peter E. Shaw

70 papers receiving 5.2k citations

Hit Papers

ERK phosphorylation potentiates Elk-1-mediated ternary co...5841992202620032014250500750

Peers

Peter E. Shaw
Comparison fields: 5 of 107
  • Molecular Biology 4.1k
  • Cancer Research 828
  • Oncology 1.2k
  • Immunology 724
  • Cell Biology 531
Replace Katsuji Yoshioka with:
Katsuji Yoshioka Japan
Tiliang Deng United States
Elizabeth Yang United States
I‐Huan Wu United States
Jennifer Jockel United States
Nicholas M. Dean United States
Kathleen Kelly United States
Hans van Dam Netherlands
François-Xavier Claret United States
Sumiko Watanabe Japan
Peter E. Shaw relative to Katsuji Yoshioka Japan Katsuji Yoshioka's profile →
Citations per field
00.5×1.5×
Katsuji Yoshioka · 1×
Citations per year

Countries citing papers authored by Peter E. Shaw

Since Specialization
Citations

This map shows the geographic impact of Peter E. Shaw'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 E. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter E. Shaw more than expected).

Fields of papers citing papers by Peter E. Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter E. Shaw. 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 E. Shaw. The network helps show where Peter E. Shaw may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Peter E. Shaw, 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 E. Shaw Line = papers co-authored together Peter E. Shaw links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20232
2 20222
3 202011
4 201816
5 201111
6 2010102
7 20100
8 20074
9 20078
10 200714
11 2004103
12 2003108
13 200345
14 2002192
15 200287
16 200260
17 200121
18 1995172
19 199441
20 198783

About Peter E. Shaw

Peter E. Shaw is a scholar working on Molecular Biology, Oncology and Cancer Research, having authored 71 papers that have together received 5.3k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (15 papers), Melanoma and MAPK Pathways (13 papers), Cytokine Signaling Pathways and Interactions (10 papers), Ubiquitin and proteasome pathways (9 papers), Cancer-related Molecular Pathways (9 papers), RNA modifications and cancer (9 papers), NF-κB Signaling Pathways (8 papers) and Genomics and Chromatin Dynamics (7 papers). The work is most often cited by research in Molecular Biology (4.1k citations), Cancer Research (828 citations) and Oncology (1.2k citations). Peter E. Shaw has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Hendrik Gille, Alfred Nordheim, Andrew D Sharrocks, Monika Kortenjann, Hennrik Schröter, Li Li, Rafael E. Herrera, Thomas Strahl, Melanie H. Cobb and Clive A. Slaughter. Their work appears in journals such as Molecular and Cellular Biology, Journal of Biological Chemistry, Nucleic Acids Research, The EMBO Journal and Oncogene.

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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