Y. Ko

668 citations
20 papers · 541 · h-index 13

Impact in

Papers in

    • Molecular Biology Techniques and Applications 3
    • Glutathione Transferases and Polymorphisms 2
    • Genomics, phytochemicals, and oxidative stress 2
    • Cancer Treatment and Pharmacology 1

Y. Ko

19 papers receiving 521 citations

Peers

Y. Ko
Comparison fields: 5 of 85
  • Cancer Research 62
  • Toxicology 14
  • Molecular Biology 267
  • Animal Science and Zoology 37
  • Pharmacology 31
Replace Yuan‐Hsu Kang with:
Yuan‐Hsu Kang United States
Karamjeet Pandher United States
Seiyu Imoto Japan
Masami Wada Japan
Xueyuan Jiang China
Keon Bong Oh South Korea
Lifeng Liu China
John Mapoles United States
Masafumi Katayama Japan
Francesco Susca Italy
Y. Ko relative to Yuan‐Hsu Kang United States Yuan‐Hsu Kang's profile →
Citations per field
00.5×2.7×
Yuan‐Hsu Kang · 1×
Citations per year

Countries citing papers authored by Y. Ko

Since Specialization
Citations

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

Fields of papers citing papers by Y. Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2002180
2
200050
3 200037
4
Gangliosides GM1, GM2 and GM3 inhibit the platelet-derived growth factor-induced signalling transduction pathway in vascular smooth muscle cells by different mechanisms.
199637
5 199928
6 199327
7 199427
8 199924
9 199223
10 199920
11 200017
12 199414
13 200414
14 200411
15 201211
16 19928
17 20118
18 20034
19 20071
20 20140

About Y. Ko

Y. Ko is a scholar working on Molecular Biology, Oncology, Cancer Research, Endocrinology, Diabetes and Metabolism and Immunology, having authored 20 papers that have together received 541 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (3 papers), Glutathione Transferases and Polymorphisms (2 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Estrogen and related hormone effects (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Cancer Treatment and Pharmacology (1 paper), Animal Nutrition and Physiology (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Cancer Research (62 citations), Toxicology (14 citations), Molecular Biology (267 citations), Animal Science and Zoology (37 citations) and Pharmacology (31 citations). Y. Ko has collaborated with scholars based in Germany, Taiwan and Australia. Frequent co-authors include H. Vetter, Agapios Sachinidis, Birgit C. P. Koch, Gudrun Totzke, Thomas Brüning, Marcus Rothe, Nicolas Wernert, Sara Stier, Stefan Fronhoffs and Volker Harth. Their work appears in journals such as Archives of Toxicology, Journal of Molecular Medicine, Journal of Cardiovascular Pharmacology, Journal of Clinical Oncology and Journal of Animal Science and Technology.

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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