Ming‐Fong Lin
Impact in
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism
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- Prostate Cancer Treatment and Research
Papers in
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- Ubiquitin and proteasome pathways 15
- Protein Tyrosine Phosphatases 8
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- Prostate Cancer Treatment and Research 41
- Co-authors
- Surinder K. Batra (19 shared papers)Ta‐Chun Yuan (8 shared papers)Ming‐Shyue Lee (12 shared papers)Suresh Veeramani (9 shared papers)Dev Karan (9 shared papers)Chawnshang Chang (3 shared papers)Fen-Fen Lin (15 shared papers)Hui‐Kuan Lin (1 shared paper)
- Journals
- Cancer Letters (6 papers)International Journal of Cancer (6 papers)Oncogene (6 papers)The Prostate (5 papers)Biochemical and Biophysical Research Communications (5 papers)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Ming‐Fong Lin
99 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 114
- Cancer Research 748
- Pulmonary and Respiratory Medicine 1.6k
- Molecular Biology 2.5k
- Oncology 938
- Immunology and Allergy 132
Countries citing papers authored by Ming‐Fong Lin
This map shows the geographic impact of Ming‐Fong 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 Ming‐Fong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Fong Lin more than expected).
Fields of papers citing papers by Ming‐Fong Lin
This network shows the impact of papers produced by Ming‐Fong 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 Ming‐Fong Lin. The network helps show where Ming‐Fong Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Fong Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 460 | |
| 2 | 2008 | 180 | |
| 3 | 2007 | 179 | |
| 4 | 2002 | 156 | |
| 5 | 2006 | 126 | |
| 6 | 1998 | 123 | |
| 7 | 2003 | 118 | |
| 8 | 2002 | 112 | |
| 9 | 2007 | 86 | |
| 10 | 2013 | 84 | |
| 11 | 2001 | 82 | |
| 12 | 2005 | 79 | |
| 13 | 2005 | 78 | |
| 14 | 2007 | 78 | |
| 15 | 2003 | 76 | |
| 16 | 2013 | 68 | |
| 17 | 2007 | 65 | |
| 18 | 2001 | 64 | |
| 19 | 2002 | 62 | |
| 20 | 2012 | 61 |
About Ming‐Fong Lin
Ming‐Fong Lin is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Genetics, having authored 100 papers that have together received 4.1k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (41 papers), Ubiquitin and proteasome pathways (15 papers), Estrogen and related hormone effects (11 papers), Cancer-related Molecular Pathways (10 papers), Mass Spectrometry Techniques and Applications (9 papers), Protein Tyrosine Phosphatases (8 papers), Cancer, Lipids, and Metabolism (7 papers) and HER2/EGFR in Cancer Research (7 papers). The work is most often cited by research in Cancer Research (748 citations), Pulmonary and Respiratory Medicine (1.6k citations), Molecular Biology (2.5k citations), Oncology (938 citations) and Immunology and Allergy (132 citations). Ming‐Fong Lin has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Surinder K. Batra, Ta‐Chun Yuan, Ming‐Shyue Lee, Suresh Veeramani, Dev Karan, Chawnshang Chang, Fen-Fen Lin, Hui‐Kuan Lin, Sonny L. Johansson and Tin Htwe Thin. Their work appears in journals such as Cancer Letters, International Journal of Cancer, Oncogene, The Prostate and Biochemical and Biophysical Research Communications.
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.