Fu Ou‐Yang

2.5k citations
45 papers · 2.0k indexed · 1 hit paper · h-index 20

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • NF-κB Signaling Pathways
    • Cancer-related molecular mechanisms research

Papers in

Fu Ou‐Yang

45 papers receiving 2.0k citations

Hit Papers

IκB Kinase Promotes Tumorigenesis through Inhibition of Forkhead FOXO3a 2004 · 742 citations
7422004202620112018200400600

Peers

Fu Ou‐Yang
Comparison fields: 5 of 118
  • Aging 113
  • Cancer Research 401
  • Oncology 531
  • Molecular Biology 1.3k
  • Geriatrics and Gerontology 59
Replace Yueh‐Min Lin with:
Yueh‐Min Lin Taiwan
Lu Zheng China
Kui Lei United States
Carmen Blanco‐Aparicio Spain
Sang-Oh Yoon United States
Andrew N. Billin United States
Yibin Deng United States
Magomed Khaidakov United States
Han C. Dan United States
Fu Ou‐Yang relative to Yueh‐Min Lin Taiwan Yueh‐Min Lin's profile →
Citations per field
00.5×3.1×
Yueh‐Min Lin · 1×
Citations per year

Countries citing papers authored by Fu Ou‐Yang

Since Specialization
Citations

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

Fields of papers citing papers by Fu Ou‐Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu Ou‐Yang. 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 Fu Ou‐Yang. The network helps show where Fu Ou‐Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IκB Kinase Promotes Tumorigenesis through Inhibition of Forkhead FOXO3a
Hit paper breakdown →
2004742
2 2004241
3 2018178
4 2006111
5 202251
6 201850
7 200647
8 200240
9 202139
10 202033
11 201031
12 201930
13 202223
14 202022
15 201922
16 202121
17 202020
18 201920
19 201920
20 200419

About Fu Ou‐Yang

Fu Ou‐Yang is a scholar working on Complementary and alternative medicine, Cancer Research, Toxicology, Oncology and Pathology and Forensic Medicine, having authored 45 papers that have together received 2.0k indexed citations. Recurring topics across this work include Medicinal Plants and Neuroprotection (6 papers), Breast Lesions and Carcinomas (5 papers), Cytokine Signaling Pathways and Interactions (3 papers), HER2/EGFR in Cancer Research (3 papers), Phytochemicals and Medicinal Plants (3 papers), Breast Cancer Treatment Studies (3 papers), Angiogenesis and VEGF in Cancer (3 papers) and Global Cancer Incidence and Screening (3 papers). The work is most often cited by research in Aging (113 citations), Cancer Research (401 citations), Oncology (531 citations), Molecular Biology (1.3k citations) and Geriatrics and Gerontology (59 citations). Fu Ou‐Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Mien‐Chie Hung, Weiya Xia, Dung‐Fang Lee, Ming‐Feng Hou, Norihisa Hanada, Shilai Bao, Leonard S. Golfman, Hitomi Saso, Mickey C.‐T. Hu and Jer-Yen Yang. Their work appears in journals such as Environmental Toxicology, Antioxidants, Cell, BMC Cancer and International Journal of Molecular Sciences.

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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