MC Lin
Impact in
- Oncology top 5%
- Global Cancer Incidence and Screening
- Colorectal Cancer Screening and Detection
- Cancer Risks and Factors
- Cancer Research top 10%
- Breast Cancer Treatment Studies
Papers in
-
- Lung Cancer Treatments and Mutations 1
- Oncology 2
- Lung Cancer Research Studies 1
- Global Cancer Incidence and Screening 1
- Co-authors
- Peggy L. Porter (4 shared papers)Ilonka Evans (1 shared paper)Chen‐Hsuan Wu (1 shared paper)Gengli Zhao (1 shared paper)Steven G. Self (1 shared paper)D. B. Thomas (1 shared paper)Di Gao (1 shared paper)Roberta M. Ray (1 shared paper)
- Journals
- JNCI Journal of the National Cancer Institute (2 papers)Journal of Clinical Oncology (1 paper)Breast Cancer Research and Treatment (1 paper)Value in Health (1 paper)European Journal of Cancer Supplements (1 paper)
- Partner nations
- United StatesSouth AfricaNorway
In The Last Decade
MC Lin
6 papers receiving 752 citations
MC Lin's Hit Papers
Peers
Comparison fields: 5 of 70
- Oncology 526
- Cancer Research 166
- Pathology and Forensic Medicine 71
- Epidemiology 115
- Genetics 90
Countries citing papers authored by MC Lin
This map shows the geographic impact of MC 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 MC Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites MC Lin more than expected).
Fields of papers citing papers by MC Lin
This network shows the impact of papers produced by MC 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 MC Lin. The network helps show where MC Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside MC 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
| # | Work | ||
|---|---|---|---|
| 1 | Randomized Trial of Breast Self-Examination in Shanghai: Final Results Hit paper breakdown → | 2002 | 558 |
| 2 | 1999 | 226 | |
| 3 | 2010 | 17 | |
| 4 | 2006 | 10 | |
| 5 | Inhibition of 12-lipoxygenase induced apoptosis in human gastric cancer cells | 2000 | 9 |
| 6 | 2007 | 3 | |
| 7 | 2007 | 0 |
About MC Lin
MC Lin is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Genetics and Mechanics of Materials, having authored 7 papers that have together received 823 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (1 paper), Breast Cancer Treatment Studies (1 paper), Lung Cancer Research Studies (1 paper), Gene expression and cancer classification (1 paper), Fatigue and fracture mechanics (1 paper), Lung Cancer Treatments and Mutations (1 paper), Global Cancer Incidence and Screening (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Oncology (526 citations), Cancer Research (166 citations), Pathology and Forensic Medicine (71 citations), Epidemiology (115 citations) and Genetics (90 citations). MC Lin has collaborated with scholars based in United States, South Africa and Norway. Frequent co-authors include Peggy L. Porter, Ilonka Evans, Chen‐Hsuan Wu, Gengli Zhao, Steven G. Self, D. B. Thomas, Di Gao, Roberta M. Ray, Wenyu Wang and Yang‐Yang Hu. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Journal of Clinical Oncology, Breast Cancer Research and Treatment, Value in Health and European Journal of Cancer Supplements.
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.