Graeme R. Guy

6.6k citations
98 papers · 5.6k indexed · h-index 46

Impact in

  • Immunology top 2%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Fibroblast Growth Factor Research
    • Protein Kinase Regulation and GTPase Signaling
    • Kruppel-like factors research
    • PI3K/AKT/mTOR signaling in cancer

Papers in

    • T-cell and B-cell Immunology 14
    • Immune Cell Function and Interaction 13
    • Fibroblast Growth Factor Research 30
    • PI3K/AKT/mTOR signaling in cancer 15
    • Protein Kinase Regulation and GTPase Signaling 14
    • Kruppel-like factors research 12
    • Protein Tyrosine Phosphatases 11

Graeme R. Guy

98 papers receiving 5.5k citations

Peers

Graeme R. Guy
Comparison fields: 5 of 113
  • Immunology 1.4k
  • Molecular Biology 3.8k
  • Cell Biology 837
  • Cancer Research 706
  • Oncology 1.1k
Replace Rosana Kapeller with:
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Francis Burrows United States
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Sean E. Egan Canada
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Citations per field
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Citations per year

Countries citing papers authored by Graeme R. Guy

Since Specialization
Citations

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

Fields of papers citing papers by Graeme R. Guy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graeme R. Guy. 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 Graeme R. Guy. The network helps show where Graeme R. Guy may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201423
2 201126
3 201021
4 200753
5 2006131
6 20066
7 200668
8 2004143
9 2003108
10 200236
11 200223
12 200085
13 200033
14 199744
15 19976
16 199650
17 19929
18 19907
19 198912
20 198857

About Graeme R. Guy

Graeme R. Guy is a scholar working on Immunology, Molecular Biology, Cancer Research, Cell Biology and Oncology, having authored 98 papers that have together received 5.6k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (30 papers), PI3K/AKT/mTOR signaling in cancer (15 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), T-cell and B-cell Immunology (14 papers), Immune Cell Function and Interaction (13 papers), Kruppel-like factors research (12 papers), Protein Tyrosine Phosphatases (11 papers) and NF-κB Signaling Pathways (10 papers). The work is most often cited by research in Immunology (1.4k citations), Molecular Biology (3.8k citations), Cell Biology (837 citations), Cancer Research (706 citations) and Oncology (1.1k citations). Graeme R. Guy has collaborated with scholars based in Singapore, United Kingdom and United States. Frequent co-authors include John Gordon, Yu Herng Tan, Permeen Yusoff, Y.H. Tan, Esther Sook Miin Wong, Boon Chuan Low, Chee Wai Fong, Jormay Lim, Xinmin Cao and Siew Bee Ng. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, European Journal of Immunology, Molecular and Cellular Biology and Cellular Signalling.

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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