Ching‐Yu Yen

47 papers receiving 699 citations

Peers

Ching‐Yu Yen
Comparison fields: 5 of 87
  • Periodontics 70
  • Otorhinolaryngology 56
  • Cancer Research 111
  • Toxicology 26
  • Complementary and alternative medicine 41
Replace Jeff Yi‐Fu Chen with:
Jeff Yi‐Fu Chen Taiwan
K-John Cheung Canada
Syed Sultan Beevi India
Feng Ren China
Chih‐Yu Peng Taiwan
Kwangok P. Nickel United States
Subramanyam Dasari United States
Álvaro Xavier Franco Brazil
Baoxia He China
Ching‐Yu Yen relative to Jeff Yi‐Fu Chen Taiwan Jeff Yi‐Fu Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ching‐Yu Yen

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Yu Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Yu Yen. 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 Ching‐Yu Yen. The network helps show where Ching‐Yu Yen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007113
2 202271
3 202252
4 201944
5 200938
6 201832
7 201628
8 200327
9 201827
10 201322
11 201920
12 202119
13
Areca quid chewing enhances the expression of salivary matrix metalloproteinase-9.
200519
14
Increased expression of matrix metalloproteinase-2 in oral cells after short-term stimulation and long-term usage of areca quid.
200517
15 202315
16 202115
17 201513
18
Obesity-associated leptin promotes chemoresistance in colorectal cancer through YAP-dependent AXL upregulation.
202112
19
Genotype analysis using human hair shaft.
20029
20 20238

About Ching‐Yu Yen

Ching‐Yu Yen is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Periodontics, having authored 47 papers that have together received 706 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Oral Health Pathology and Treatment (5 papers), MicroRNA in disease regulation (5 papers), Bioactive Compounds and Antitumor Agents (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Seaweed-derived Bioactive Compounds (3 papers), Marine Sponges and Natural Products (3 papers) and Head and Neck Cancer Studies (3 papers). The work is most often cited by research in Periodontics (70 citations), Otorhinolaryngology (56 citations), Cancer Research (111 citations), Toxicology (26 citations) and Complementary and alternative medicine (41 citations). Ching‐Yu Yen has collaborated with scholars based in Taiwan, Pakistan and United States. Frequent co-authors include Hsueh‐Wei Chang, Jen‐Yang Tang, Jun‐Ping Shiau, Ming‐Feng Hou, Wei‐Fan Chiang, Ya-Ting Chuang, Yuan‐Bin Cheng, Fang‐Rong Chang, Chung‐Ho Chen and Shyun-Yeu Liu. Their work appears in journals such as Antioxidants, International Journal of Molecular Sciences, Environmental Toxicology, Journal of Oral Pathology and Medicine and Cancers.

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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