Yu‐Ting Chou

2.6k citations
58 papers · 1.9k · h-index 22

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 5%
    • Cancer Cells and Metastasis

Papers in

    • Epigenetics and DNA Methylation 6
    • RNA modifications and cancer 5
    • Cancer Cells and Metastasis 9
    • Lung Cancer Research Studies 5
    • Cancer-related Molecular Pathways 4

Yu‐Ting Chou

55 papers receiving 1.9k citations

Peers

Yu‐Ting Chou
Comparison fields: 5 of 100
  • Cancer Research 496
  • Oncology 592
  • Molecular Biology 1.1k
  • Microbiology 89
  • Immunology 190
Replace Olivier Cabaud with:
Olivier Cabaud France
He Zhou China
Yadi Wu China
Julien Wicinski France
Zhaojin Yu China
Young-Jun Jeon South Korea
Christiane Margue Luxembourg
Julie Pannequin France
Jiancheng Zhou China
Morten F. Gjerstorff Denmark
Yu‐Ting Chou relative to Olivier Cabaud France Olivier Cabaud's profile →
Citations per field
00.5×4.7×
Olivier Cabaud · 1×
Citations per year

Countries citing papers authored by Yu‐Ting Chou

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Ting Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010499
2 2010235
3 2013103
4 201577
5 200765
6 201560
7 201652
8 201747
9 202044
10 201744
11 201340
12 200938
13 201735
14 200635
15 202134
16 201329
17 201827
18 202027
19 202025
20 200924

About Yu‐Ting Chou

Yu‐Ting Chou is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Epidemiology, having authored 58 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Lung Cancer Treatments and Mutations (9 papers), Epigenetics and DNA Methylation (6 papers), Lung Cancer Research Studies (5 papers), RNA modifications and cancer (5 papers), Cancer Genomics and Diagnostics (4 papers), Cancer-related Molecular Pathways (4 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). The work is most often cited by research in Cancer Research (496 citations), Oncology (592 citations), Molecular Biology (1.1k citations), Microbiology (89 citations) and Immunology (190 citations). Yu‐Ting Chou has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Cheng‐Wen Wu, Chun-Fu Hong, Shih‐Hwa Chiou, Mong‐Lien Wang, Chi‐Jen Chen, Yingshan Chen, Han-Sui Hsu, Tzu-Wei Lin, Wang-Ju Hsieh and Sey‐En Lin. Their work appears in journals such as Cancer Research, Scientific Reports, International Journal of Molecular Sciences, Oncotarget and Oncogenesis.

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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