Jin Mo Ku

35 papers receiving 809 citations

Peers

Jin Mo Ku
Comparison fields: 5 of 73
  • Dermatology 114
  • Toxicology 41
  • Immunology and Allergy 68
  • Biochemistry 71
  • Complementary and alternative medicine 81
Replace Lynda L. Song with:
Lynda L. Song United States
Youn Kyung Choi South Korea
Jeong‐Mi Kim South Korea
Han Gyung Kim South Korea
Yewseok Suh United States
Zhengquan Lai China
Cai‐Xia Tu China
Jae Gwang Park South Korea
Huey‐Chun Huang Taiwan
Jin-Mu Yi South Korea
Jin Mo Ku relative to Lynda L. Song United States Lynda L. Song's profile →
Citations per field
00.5×7.9×
Lynda L. Song · 1×
Citations per year

Countries citing papers authored by Jin Mo Ku

Since Specialization
Citations

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

Fields of papers citing papers by Jin Mo Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Mo Ku. 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 Jin Mo Ku. The network helps show where Jin Mo Ku may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201694
2 201574
3 201566
4 201563
5 201757
6
Induction of caspase-dependent apoptosis by apigenin by inhibiting STAT3 signaling in HER2-overexpressing MDA-MB-453 breast cancer cells.
201455
7 201839
8 201730
9 201927
10 201725
11 201722
12 202121
13 201418
14 201917
15 202017
16 201717
17 202017
18 202117
19 201516
20 202216

About Jin Mo Ku

Jin Mo Ku is a scholar working on Molecular Biology, Dermatology, Oncology, Toxicology and Genetics, having authored 35 papers that have together received 818 indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (9 papers), Cytokine Signaling Pathways and Interactions (7 papers), Allergic Rhinitis and Sensitization (6 papers), Bioactive Compounds and Antitumor Agents (6 papers), Natural product bioactivities and synthesis (5 papers), Advances in Cucurbitaceae Research (5 papers), Flavonoids in Medical Research (4 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Dermatology (114 citations), Toxicology (41 citations), Immunology and Allergy (68 citations), Biochemistry (71 citations) and Complementary and alternative medicine (81 citations). Jin Mo Ku has collaborated with scholars based in South Korea and United States. Frequent co-authors include Yong Cheol Shin, Seong‐Gyu Ko, Se Hyang Hong, Han‐Seok Choi, Bo-Hyoung Jang, Jong Kyu Woo, Hye‐Sook Seo, Hyo In Kim, Hye Sook Seo and Soon Re Kim. Their work appears in journals such as European Journal of Inflammation, BMC Complementary and Alternative Medicine, Evidence-based Complementary and Alternative Medicine, Cancer Research and Nutrients.

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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