Goo Taeg Oh

12.0k citations
175 papers · 6.9k indexed · h-index 45

Goo Taeg Oh

172 papers receiving 6.7k citations

Peers

Goo Taeg Oh
Comparison fields: 5 of 134
  • Immunology 1.3k
  • Molecular Biology 3.3k
  • Pharmacology 744
  • Cancer Research 640
  • Immunology and Allergy 210
Replace Masatoshi Hori with:
Masatoshi Hori Japan
Rosa Carnuccio Italy
Han–Jung Chae South Korea
Lei Xiao China
Dong‐Soon Im South Korea
Takashi Ikejima China
Agapios Sachinidis Germany
Shile Huang United States
Anu Kauppinen Finland
Takashi Okamoto Japan
Goo Taeg Oh relative to Masatoshi Hori Japan Masatoshi Hori's profile →
Citations per field
00.5×1.5×2.0×
Masatoshi Hori · 1×
Citations per year

Countries citing papers authored by Goo Taeg Oh

Since Specialization
Citations

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

Fields of papers citing papers by Goo Taeg Oh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Goo Taeg Oh. 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 Goo Taeg Oh. The network helps show where Goo Taeg Oh may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20239
4 20237
5 20236
6 202222
7 202214
8 202112
9 201914
10 20199
11 2017128
12 201465
13 2008109
14 2008165
15 200634
16
Fluorescence labeled cardiomyocytes derived from embryonic stem cells
20052
17
The cytotoxic limonoid from the fruits of Melia Toosendan
19941
18
Isolation and biological activity of verbascoside, a potent inhibitor of protein kinase C from the calyx of Campsis grandiflora
19931
19
Antitumoral Compound , MCH-201 , an Effector on Proliferation and Morphology of Human Breast Tumor Cell Line, MCF-7
19935
20
Primary culture of human hepatocytes from small size sample
19921

About Goo Taeg Oh

Goo Taeg Oh is a scholar working on Immunology and Allergy, Immunology and Biochemistry, having authored 175 papers that have together received 6.9k indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (25 papers), Peroxisome Proliferator-Activated Receptors (20 papers), Cell Adhesion Molecules Research (16 papers), Adipose Tissue and Metabolism (13 papers), Redox biology and oxidative stress (12 papers), Adipokines, Inflammation, and Metabolic Diseases (10 papers), Nitric Oxide and Endothelin Effects (9 papers) and Autophagy in Disease and Therapy (9 papers). The work is most often cited by research in Immunology (1.3k citations), Molecular Biology (3.3k citations) and Pharmacology (744 citations). Goo Taeg Oh has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Jae‐Hoon Choi, Se‐Jin Jeong, Jong‐Gil Park, Michung Yoon, Ki-Up Lee, In‐Hyuk Jung, Mi‐Ran Lee, Eui‐Bae Jeung, Sang‐Bae Han and Mi-Ni Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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