Jae‐Won Soh

3.0k citations
53 papers · 2.6k indexed · h-index 29

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 17
    • Cell death mechanisms and regulation 9
    • Melanoma and MAPK Pathways 5
    • Heat shock proteins research 5

Jae‐Won Soh

53 papers receiving 2.5k citations

Peers

Jae‐Won Soh
Comparison fields: 5 of 116
  • Applied Microbiology and Biotechnology 57
  • Molecular Biology 1.6k
  • Cancer Research 322
  • Oncology 448
  • Cell Biology 247
Replace K. Eric Paulson with:
K. Eric Paulson United States
Tatyana A. Zykova United States
Jay Wimalasena United States
José G. Abreu Brazil
John M. Kokontis United States
Song Iy Han South Korea
Ana Cuadrado Spain
Shunichiro Kubota Japan
Myoung Ok Kim South Korea
Louise R. Howe United States
Jae‐Won Soh relative to K. Eric Paulson United States K. Eric Paulson's profile →
Citations per field
00.5×1.5×
K. Eric Paulson · 1×
Citations per year

Countries citing papers authored by Jae‐Won Soh

Since Specialization
Citations

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

Fields of papers citing papers by Jae‐Won Soh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae‐Won Soh. 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 Jae‐Won Soh. The network helps show where Jae‐Won Soh may publish in the future.

Co-authors

The 25 scholars most cited alongside Jae‐Won Soh, 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 Jae‐Won Soh Line = papers co-authored together Jae‐Won Soh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20225
2 201024
3 20093
4 200853
5 200749
6
Celecoxib-induced growth inhibiton in SW480 colon cancer cells is associated with activation of protein kinase G
20071
7 200725
8 200655
9 200677
10 200547
11 200483
12 200393
13 200331
14 2003136
15 200313
16 2003169
17 2002197
18 200264
19 200120
20 200142

About Jae‐Won Soh

Jae‐Won Soh is a scholar working on Toxicology, Molecular Biology, Oncology, Physiology and Cell Biology, having authored 53 papers that have together received 2.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (17 papers), Cell death mechanisms and regulation (9 papers), Cancer-related Molecular Pathways (8 papers), Melanoma and MAPK Pathways (5 papers), Heat shock proteins research (5 papers), Immune Cell Function and Interaction (4 papers), Estrogen and related hormone effects (4 papers) and Inflammatory mediators and NSAID effects (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (57 citations), Molecular Biology (1.6k citations), Cancer Research (322 citations), Oncology (448 citations) and Cell Biology (247 citations). Jae‐Won Soh has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include I. Bernard Weinstein, Ron Prywes, Atsuko Deguchi, Sangwoo Bae, Su‐Jae Lee, Julhash U. Kazi, Muneyuki Masuda, Jin T. E. Lim, Masumi Suzui and William J. Thompson. Their work appears in journals such as Journal of Biological Chemistry, Oncogene, The Journal of Immunology, Endocrinology and Biochimica et Biophysica Acta (BBA) - Molecular Cell Research.

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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