Yu‐Min Lin

3.4k citations
85 papers · 2.7k · h-index 28

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Ubiquitin and proteasome pathways
    • Signaling Pathways in Disease
    • Circular RNAs in diseases
    • RNA modifications and cancer

Papers in

Yu‐Min Lin

79 papers receiving 2.7k citations

Peers

Yu‐Min Lin
Comparison fields: 5 of 119
  • Cancer Research 460
  • Molecular Biology 1.4k
  • Hepatology 141
  • Oncology 463
  • Molecular Medicine 88
Replace Liming Wang with:
Liming Wang China
Yan Zheng China
Zakaria Y. Abd Elmageed United States
Kazuhiro Yoshida Japan
Shuai Zhang China
Hongxia Zhu China
Alessandra Tessitore Italy
Michael J. Edwards United States
Qing Xu China
Yoku Hayakawa Japan
Yu‐Min Lin relative to Liming Wang China Liming Wang's profile →
Citations per field
00.5×3.3×
Liming Wang · 1×
Citations per year

Countries citing papers authored by Yu‐Min Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Min Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012262
2 2011160
3 2002157
4
Involvement of the FGF18 gene in colorectal carcinogenesis, as a novel downstream target of the beta-catenin/T-cell factor complex.
2003142
5 2014135
6 2018128
7 2005108
8 2004104
9 200897
10 201581
11 201581
12 200766
13 200654
14 201052
15 200451
16 200850
17 200847
18 201146
19 200343
20 200538

About Yu‐Min Lin

Yu‐Min Lin is a scholar working on Molecular Biology, Oncology, Electrical and Electronic Engineering, Epidemiology and Pathology and Forensic Medicine, having authored 85 papers that have together received 2.7k indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (7 papers), Cardiac Ischemia and Reperfusion (6 papers), Gastric Cancer Management and Outcomes (5 papers), Hepatitis C virus research (5 papers), Integrated Circuits and Semiconductor Failure Analysis (5 papers), Ubiquitin and proteasome pathways (4 papers), Hepatitis B Virus Studies (4 papers) and Advanced Surface Polishing Techniques (4 papers). The work is most often cited by research in Cancer Research (460 citations), Molecular Biology (1.4k citations), Hepatology (141 citations), Oncology (463 citations) and Molecular Medicine (88 citations). Yu‐Min Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yoichi Furukawa, Chi‐Hsiao Yeh, Tzu-Ping Chen, Pyng Jing Lin, Ruey‐Hwa Chen, Bing‐Fang Chen, Takashi Shimokawa, Tatsuhiko Tsunoda, Shu‐Chi Mu and Guey‐Mei Jow. Their work appears in journals such as Shock, International Journal of Oncology, Oncogene, PLoS ONE and The Journal of Cell Biology.

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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