Gunho Won

429 citations
16 papers · 345 · h-index 11

Impact in

Papers in

    • Cell death mechanisms and regulation 4
    • Phytochemical compounds biological activities 2
    • Protein Tyrosine Phosphatases 1
    • Natural product bioactivities and synthesis 1
    • Autophagy in Disease and Therapy 3

Gunho Won

16 papers receiving 341 citations

Peers

Gunho Won
Comparison fields: 5 of 64
  • Endocrine and Autonomic Systems 52
  • Cancer Research 80
  • Complementary and alternative medicine 39
  • Molecular Biology 219
  • Toxicology 10
Replace Deok Yong Sim with:
Deok Yong Sim South Korea
Yashin Sreenivasan India
Xiaomei Duan China
Andria Carper United States
Sridevi Bodreddigari United States
Ghader Babaei Iran
Cho Rong Han South Korea
Vijay S. Thakur United States
Lin Luo China
Ken Jones United States
Gunho Won relative to Deok Yong Sim South Korea Deok Yong Sim's profile →
Citations per field
00.5×
Deok Yong Sim · 1×
Citations per year

Countries citing papers authored by Gunho Won

Since Specialization
Citations

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

Fields of papers citing papers by Gunho Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 201491
2 201545
3 201445
4 201628
5 202022
6 201720
7 201320
8
Generation of ROS by Decursin selectively induces the ER stress pathway components ATF4/PERK leading to the synergistic enhancement of TRAIL‐induced apoptosis
201518
9 201415
10 201515
11 201413
12 20207
13 20203
14 20231
15 20151
16 20151

About Gunho Won

Gunho Won is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Cell Biology and Pharmacology, having authored 16 papers that have together received 345 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (4 papers), Autophagy in Disease and Therapy (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Phytochemical compounds biological activities (2 papers), Cancer-related molecular mechanisms research (2 papers), MicroRNA in disease regulation (1 paper), Protein Tyrosine Phosphatases (1 paper) and Natural product bioactivities and synthesis (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (52 citations), Cancer Research (80 citations), Complementary and alternative medicine (39 citations), Molecular Biology (219 citations) and Toxicology (10 citations). Gunho Won has collaborated with scholars based in South Korea. Frequent co-authors include Eun Jung Sohn, Sung‐Hoon Kim, Ji‐Hyun Lee, Sung‐Hoon Kim, Sang‐Yoon Lee, Bonglee Kim, Ji Hoon Jung, Deok‐Beom Jung, Miyong Yun and Jae Kwang Kim. Their work appears in journals such as Oncotarget, Journal of Cancer, In Vitro Cellular & Developmental Biology - Animal, International Journal of Biological Sciences and Molecules.

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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