Jae Won Soh

880 citations
12 papers · 749 · h-index 12

Impact in

  • Oncology top 10%
    • Cancer-related Molecular Pathways
  • Pharmacology top 10%
    • Inflammatory mediators and NSAID effects

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • Cell death mechanisms and regulation 2
    • Cancer-related Molecular Pathways 4
    • Cytokine Signaling Pathways and Interactions 1

Jae Won Soh

12 papers receiving 736 citations

Peers

Jae Won Soh
Comparison fields: 5 of 79
  • Oncology 258
  • Pharmacology 129
  • Molecular Biology 437
  • Cancer Research 87
  • Toxicology 19
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Citations per field
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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

12 of 12 papers shown
#Work
1
Increased expression of cyclin D1 in a murine mammary epithelial cell line induces p27kip1, inhibits growth, and enhances apoptosis.
1996132
2
Cyclic GMP mediates apoptosis induced by sulindac derivatives via activation of c-Jun NH2-terminal kinase 1.
2000120
3
Antiproliferative effects of S-allylmercaptocysteine on colon cancer cells when tested alone or in combination with sulindac sulfide.
2001109
4 200267
5 200363
6
Paradoxical increase in retinoblastoma protein in colorectal carcinomas may protect cells from apoptosis.
199960
7 200454
8 200046
9 200538
10 200633
11
Overexpression of p21Cip1 or p27Kip1 in the promyelocytic leukemia cell line HL60 accelerates its lineage-specific differentiation.
200015
12 201212

About Jae Won Soh

Jae Won Soh is a scholar working on Molecular Biology, Oncology, Pharmacology, Genetics and Genetics, having authored 12 papers that have together received 749 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), Inflammatory mediators and NSAID effects (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cancer Research and Treatments (2 papers), Cell death mechanisms and regulation (2 papers), Estrogen and related hormone effects (2 papers), Ocular Oncology and Treatments (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Oncology (258 citations), Pharmacology (129 citations), Molecular Biology (437 citations), Cancer Research (87 citations) and Toxicology (19 citations). Jae Won Soh has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include I. Bernard Weinstein, B. Weinstein, I B Weinstein, Edward K. Han, Alessandro Sgambato, Yuichiro� Doki, Xing Wang, Martin Begemann, Haim Shirin and Min‐Gul Kim. Their work appears in journals such as Cancer Research, Oncogene, Cell Proliferation, Gastroenterology and Cell Death and Differentiation.

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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