Yu‐Min Lin

3.4k citations
82 papers · 2.9k · h-index 29

Impact in

Papers in

Yu‐Min Lin

78 papers receiving 2.8k citations

Peers

Yu‐Min Lin
Comparison fields: 5 of 108
  • Cancer Research 313
  • Oncology 410
  • Molecular Biology 1k
  • Molecular Medicine 89
  • Pathology and Forensic Medicine 190
Replace Alessandra Tessitore with:
Alessandra Tessitore Italy
Andreas K.A. Gaumann Germany
Minjiang Chen China
Michaela Schlederer Austria
Xia Zhao China
Grazia Malaponte Italy
Yiping Wu China
Krista Rombouts United Kingdom
Yu‐Min Lin relative to Alessandra Tessitore Italy Alessandra Tessitore's profile →
Citations per field
00.5×1.5×2.0×
Alessandra Tessitore · 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 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012262
2 2011163
3 2002158
4
Involvement of the FGF18 gene in colorectal carcinogenesis, as a novel downstream target of the beta-catenin/T-cell factor complex.
2003139
5 2018138
6 2014136
7 2005109
8 2004104
9 200899
10 201584
11 201583
12 200766
13 202264
14 200455
15 200653
16 200853
17 201053
18 202151
19 200848
20 201148

About Yu‐Min Lin

Yu‐Min Lin is a scholar working on Pathology and Forensic Medicine, Oncology, Molecular Biology, Cancer Research and Hepatology, having authored 82 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (9 papers), Colorectal Cancer Screening and Detection (7 papers), Hepatitis B Virus Studies (5 papers), Alzheimer's disease research and treatments (3 papers), Gene expression and cancer classification (3 papers), Signaling Pathways in Disease (3 papers), MicroRNA in disease regulation (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cancer Research (313 citations), Oncology (410 citations), Molecular Biology (1k citations), Molecular Medicine (89 citations) and Pathology and Forensic Medicine (190 citations). Yu‐Min Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yoichi Furukawa, Yusuke Nakamura, Chi‐Hsiao Yeh, Tzu-Ping Chen, Pyng Jing Lin, Ruey‐Hwa Chen, Takashi Shimokawa, Bing‐Fang Chen, Tatsuhiko Tsunoda and Chih‐Hsin Tang. Their work appears in journals such as Shock, International Journal of Oncology, PLoS ONE, Journal of Surgical Research and Frontiers in Nutrition.

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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