Ming Lin
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Ubiquitin and proteasome pathways 9
- Protein Structure and Dynamics 4
- Glycosylation and Glycoproteins Research 4
- Oncology 9
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Themis R. Kyriakides (1 shared paper)Steven D. Bain (1 shared paper)Zhantao Yang (1 shared paper)Lynne T. Smith (1 shared paper)Paul Börnstein (1 shared paper)Cindy E. McKinney (1 shared paper)Mary E. LaMarca (1 shared paper)Keith G. Danielson (1 shared paper)
- Journals
- The Journal of Chemical Physics (4 papers)Journal of the American Statistical Association (3 papers)Cancer Research (2 papers)The Journal of Cell Biology (2 papers)Journal of Biomedical Science (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ming Lin
47 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 132
- Cancer Research 217
- Immunology and Allergy 69
- Molecular Biology 778
- Oncology 235
- Cell Biology 125
Countries citing papers authored by Ming Lin
This map shows the geographic impact of Ming 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 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 Lin more than expected).
Fields of papers citing papers by Ming Lin
This network shows the impact of papers produced by Ming 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 Lin. The network helps show where Ming Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 407 | |
| 2 | 2019 | 60 | |
| 3 | 2009 | 59 | |
| 4 | 2013 | 57 | |
| 5 | 2010 | 48 | |
| 6 | 2008 | 44 | |
| 7 | 2009 | 42 | |
| 8 | [Identification and characterization of LAPTM4B encoded by a human hepatocellular carcinoma-associated novel gene]. | 2003 | 40 |
| 9 | 2020 | 38 | |
| 10 | 2015 | 37 | |
| 11 | 2014 | 32 | |
| 12 | 2015 | 32 | |
| 13 | 2012 | 32 | |
| 14 | 1999 | 28 | |
| 15 | 2013 | 27 | |
| 16 | 2010 | 24 | |
| 17 | 2005 | 24 | |
| 18 | 2017 | 23 | |
| 19 | 2011 | 22 | |
| 20 | 2006 | 20 |
About Ming Lin
Ming Lin is a scholar working on Molecular Biology, Oncology, Statistics and Probability, Immunology and Cancer Research, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Statistical Methods and Inference (6 papers), Cancer Research and Treatments (4 papers), Protein Structure and Dynamics (4 papers), Immunotherapy and Immune Responses (4 papers), Glycosylation and Glycoproteins Research (4 papers), Advanced Causal Inference Techniques (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (217 citations), Immunology and Allergy (69 citations), Molecular Biology (778 citations), Oncology (235 citations) and Cell Biology (125 citations). Ming Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Themis R. Kyriakides, Steven D. Bain, Zhantao Yang, Lynne T. Smith, Paul Börnstein, Cindy E. McKinney, Mary E. LaMarca, Keith G. Danielson, Edward I. Ginns and Renato V. Iozzo. Their work appears in journals such as The Journal of Chemical Physics, Journal of the American Statistical Association, Cancer Research, The Journal of Cell Biology and Journal of Biomedical Science.
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.