Kee-Oh Chay

1.3k citations
35 papers · 1.1k · h-index 17

Impact in

Papers in

    • Redox biology and oxidative stress 5
    • PI3K/AKT/mTOR signaling in cancer 4
    • Genomics, phytochemicals, and oxidative stress 3
    • Protease and Inhibitor Mechanisms 3

Kee-Oh Chay

35 papers receiving 1.0k citations

Peers

Kee-Oh Chay
Comparison fields: 5 of 100
  • Applied Microbiology and Biotechnology 73
  • Biochemistry 137
  • Pathology and Forensic Medicine 237
  • Immunology and Allergy 63
  • Cancer Research 113
Replace Yuhui Huang with:
Yuhui Huang Japan
Bong Whan Ahn South Korea
M. Waheed Roomi Canada
Ying‐Jan Wang Taiwan
Ran Wei China
Seong‐Su Han United States
Hyo‐Kyoung Choi South Korea
Daniela Carlisi Italy
Marina Orlandi Italy
Genoveva Murillo United States
Kee-Oh Chay relative to Yuhui Huang Japan Yuhui Huang's profile →
Citations per field
00.5×1.5×1.9×
Yuhui Huang · 1×
Citations per year

Countries citing papers authored by Kee-Oh Chay

Since Specialization
Citations

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

Fields of papers citing papers by Kee-Oh Chay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kee-Oh Chay. 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 Kee-Oh Chay. The network helps show where Kee-Oh Chay may publish in the future.

Co-authors

The 25 scholars most cited alongside Kee-Oh Chay, 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 Kee-Oh Chay Line = papers co-authored together Kee-Oh Chay 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 2001270
2 200483
3 201571
4 200269
5 201463
6 200254
7 201538
8 200834
9 200233
10 200425
11 200025
12 201724
13 201023
14 201222
15 201320
16 201418
17 201517
18 201716
19 201715
20 200315

About Kee-Oh Chay

Kee-Oh Chay is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Pathology and Forensic Medicine and Physiology, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Redox biology and oxidative stress (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Protease and Inhibitor Mechanisms (3 papers), Cell Adhesion Molecules Research (3 papers), Tea Polyphenols and Effects (3 papers), Flavonoids in Medical Research (2 papers) and Tannin, Tannase and Anticancer Activities (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (73 citations), Biochemistry (137 citations), Pathology and Forensic Medicine (237 citations), Immunology and Allergy (63 citations) and Cancer Research (113 citations). Kee-Oh Chay has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Young Do Jung, Kyung Keun Kim, Lee M. Ellis, B A Shin, Gary E. Gallick, W. Liu, C D Bucana, Sung Yeul Yang, Bong Whan Ahn and Hyun Joong Yoon. Their work appears in journals such as Biochemical and Biophysical Research Communications, Archives of Biochemistry and Biophysics, International Journal of Molecular Sciences, The Journal of Microbiology and International Journal of Oncology.

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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