Ming‐Fong Lin
Impact in
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- Prostate Cancer Treatment and Research
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism
Papers in
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- Ubiquitin and proteasome pathways 12
- Protein Tyrosine Phosphatases 9
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- Prostate Cancer Treatment and Research 40
- Co-authors
- Surinder K. Batra (19 shared papers)Ta‐Chun Yuan (8 shared papers)Suresh Veeramani (9 shared papers)Ming‐Shyue Lee (13 shared papers)Dev Karan (9 shared papers)Chawnshang Chang (3 shared papers)Fen-Fen Lin (15 shared papers)Shuyuan Yeh (1 shared paper)
- Journals
- Oncogene (6 papers)International Journal of Cancer (6 papers)Cancer Letters (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 4.1k citations
Peers
Comparison fields: 5 of 114
- Pulmonary and Respiratory Medicine 1.5k
- Cancer Research 678
- Molecular Biology 2.3k
- Oncology 827
- Endocrinology, Diabetes and Metabolism 324
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 | 492 | |
| 2 | 2007 | 187 | |
| 3 | 2008 | 185 | |
| 4 | 2002 | 156 | |
| 5 | 2006 | 129 | |
| 6 | 1998 | 124 | |
| 7 | 2003 | 120 | |
| 8 | 2002 | 113 | |
| 9 | 2013 | 91 | |
| 10 | 2007 | 86 | |
| 11 | 2001 | 85 | |
| 12 | 2005 | 84 | |
| 13 | 2005 | 81 | |
| 14 | 2007 | 81 | |
| 15 | 2003 | 77 | |
| 16 | 2013 | 73 | |
| 17 | 2012 | 69 | |
| 18 | 2007 | 67 | |
| 19 | 2002 | 65 | |
| 20 | 2001 | 65 |
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 4.2k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (40 papers), Ubiquitin and proteasome pathways (12 papers), Estrogen and related hormone effects (11 papers), Protein Tyrosine Phosphatases (9 papers), Cancer, Lipids, and Metabolism (9 papers), Mass Spectrometry Techniques and Applications (9 papers), Cancer-related Molecular Pathways (8 papers) and Hormonal and reproductive studies (7 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.5k citations), Cancer Research (678 citations), Molecular Biology (2.3k citations), Oncology (827 citations) and Endocrinology, Diabetes and Metabolism (324 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, Suresh Veeramani, Ming‐Shyue Lee, Dev Karan, Chawnshang Chang, Fen-Fen Lin, Shuyuan Yeh, Hong‐Yo Kang and Hui‐Kuan Lin. Their work appears in journals such as Oncogene, International Journal of Cancer, Cancer Letters, 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.