Lin‐Yu Chen

455 citations
23 papers · 330 · h-index 9

Impact in

Papers in

    • Epigenetics and DNA Methylation 7
    • Cancer-related gene regulation 3
    • Cancer-related molecular mechanisms research 7
    • MicroRNA in disease regulation 2

Lin‐Yu Chen

22 papers receiving 317 citations

Peers

Lin‐Yu Chen
Comparison fields: 5 of 79
  • Cancer Research 77
  • Reproductive Medicine 33
  • Molecular Biology 211
  • Biochemistry 16
  • Obstetrics and Gynecology 20
Replace Zitao Wang with:
Zitao Wang China
Zili Lin China
Julio Ortiz‐Ortiz Mexico
Meichen Yin China
Lei Lou China
Chunmei Liu China
Sijie Li China
Saima Usman United Kingdom
Shuya Sun China
Lin‐Yu Chen relative to Zitao Wang China Zitao Wang's profile →
Citations per field
00.5×10×13.3×
Zitao Wang · 1×
Citations per year

Countries citing papers authored by Lin‐Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lin‐Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201099
2 202037
3 201832
4 201929
5 202226
6 200623
7 201917
8 20229
9 20189
10 20237
11 20226
12 20226
13 20156
14 20225
15 20115
16 20223
17 20213
18 20242
19 20232
20 20242

About Lin‐Yu Chen

Lin‐Yu Chen is a scholar working on Molecular Biology, Cancer Research, Immunology, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology, having authored 23 papers that have together received 330 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (7 papers), Cancer-related molecular mechanisms research (7 papers), Reproductive System and Pregnancy (4 papers), Ferroptosis and cancer prognosis (3 papers), Cancer-related gene regulation (3 papers), MicroRNA in disease regulation (2 papers), Endometrial and Cervical Cancer Treatments (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (77 citations), Reproductive Medicine (33 citations), Molecular Biology (211 citations), Biochemistry (16 citations) and Obstetrics and Gynecology (20 citations). Lin‐Yu Chen has collaborated with scholars based in Taiwan, China and Vietnam. Frequent co-authors include Hung-Cheng Lai, Po‐Hsuan Su, Yu‐Chun Weng, Rui Huang, Jian‐Liang Chou, Pearlly S. Yan, Michael WY Chan, Tai‐Kuang Chao, Hung‐Cheng Lai and Phui‐Ly Liew. Their work appears in journals such as International Journal of Molecular Sciences, International Journal of Cancer, Cancer Research, Molecular Carcinogenesis and Cell Death and Disease.

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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