P.G. Suh

861 citations
28 papers · 757 · h-index 15

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • PI3K/AKT/mTOR signaling in cancer
    • Metabolism, Diabetes, and Cancer
    • Cell death mechanisms and regulation

Papers in

    • Protein Kinase Regulation and GTPase Signaling 13
    • Glycosylation and Glycoproteins Research 4
    • Genomics and Chromatin Dynamics 3
    • RNA and protein synthesis mechanisms 2
    • Cellular transport and secretion 5
    • Microtubule and mitosis dynamics 2

P.G. Suh

27 papers receiving 742 citations

Peers

P.G. Suh
Comparison fields: 5 of 82
  • Cell Biology 154
  • Molecular Biology 495
  • Physiology 20
  • Immunology and Allergy 22
  • Physiology 92
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Citations per field
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Citations per year

Countries citing papers authored by P.G. Suh

Since Specialization
Citations

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

Fields of papers citing papers by P.G. Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.G. Suh. 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 P.G. Suh. The network helps show where P.G. Suh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014118
2 199498
3 201370
4 200466
5
Overexpression of phospholipase C-gamma 1 in familial adenomatous polyposis.
199447
6
Overexpression of phospholipase C-gamma1 in rat 3Y1 fibroblast cells leads to malignant transformation.
199743
7 199136
8 200433
9 201230
10 199326
11 199623
12 199323
13 199719
14 200618
15
Expression of phospholipase C-gamma 1 and its transcriptional regulators in breast cancer tissues.
199818
16 199514
17 199812
18
The SH2-SH2-SH3 domain of phospholipase C-gamma1 directly binds to translational elongation factor-1alpha.
199911
19 200210
20 19939

About P.G. Suh

P.G. Suh is a scholar working on Molecular Biology, Cell Biology, Genetics, Surgery and Genetics, having authored 28 papers that have together received 757 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (13 papers), Cellular transport and secretion (5 papers), Glycosylation and Glycoproteins Research (4 papers), Genomics and Chromatin Dynamics (3 papers), Microtubule and mitosis dynamics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cell Biology (154 citations), Molecular Biology (495 citations), Physiology (20 citations), Immunology and Allergy (22 citations) and Physiology (92 citations). P.G. Suh has collaborated with scholars based in South Korea, United States and Poland. Frequent co-authors include Sung Ho Ryu, Young Han Lee, Jimyung Seo, Young Yil Bahk, Jaewang Ghim, Parkyong Song, Per‐Olof Berggren, Yonghoon Kwon, Jong Hyuk Yoon and Dong‐Young Noh. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Cytogenetic and Genome Research, Molecules and Cells and BMB Reports.

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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