MC Lin

1.0k citations
6 papers · 777 indexed · 1 hit paper · h-index 5

Impact in

  • Oncology top 5%
    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection
    • Cancer Risks and Factors
    • Breast Cancer Treatment Studies

Papers in

MC Lin

6 papers receiving 715 citations

Hit Papers

Randomized Trial of Breast Self-Examination in Shanghai: Final Results 2002 · 515 citations
5152002202620102018100200300400500

Peers

MC Lin
Comparison fields: 5 of 73
  • Oncology 600
  • Cancer Research 219
  • Epidemiology 183
  • Pathology and Forensic Medicine 95
  • Genetics 117
Replace Baffour Awuah with:
Baffour Awuah Ghana
S. A. Norman United States
Polly S. Y. Cheung Hong Kong
Herbert Cubasch South Africa
Yiwey Shieh United States
Toufic Eid Lebanon
Electra D. Paskett United States
Bao‐Ning Zhang China
María Ederra Spain
Noorie Hyun United States
MC Lin relative to Baffour Awuah Ghana Baffour Awuah's profile →
Citations per field
00.5×1.5×1.8×
Baffour Awuah · 1×
Citations per year

Countries citing papers authored by MC Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with MC Lin Line = papers co-authored together MC Lin links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Randomized Trial of Breast Self-Examination in Shanghai: Final Results
Hit paper breakdown →
2002515
2 1999223
3 201017
4 200610
5
Inhibition of 12-lipoxygenase induced apoptosis in human gastric cancer cells
20009
6 20073

About MC Lin

MC Lin is a scholar working on Cancer Research, Oncology, Genetics, Mechanics of Materials and Genetics, having authored 6 papers that have together received 777 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (2 papers), Global Cancer Incidence and Screening (2 papers), Single-cell and spatial transcriptomics (1 paper), Fatigue and fracture mechanics (1 paper), Molecular Biology Techniques and Applications (1 paper), BRCA gene mutations in cancer (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Oncology (600 citations), Cancer Research (219 citations), Epidemiology (183 citations), Pathology and Forensic Medicine (95 citations) and Genetics (117 citations). MC Lin has collaborated with scholars based in United States, South Africa and Norway. Frequent co-authors include Peggy L. Porter, C. J. Allison, Gengli Zhao, Helge Stalsberg, D. B. Thomas, Steven G. Self, Di Gao, Linlin Pan, Chen‐Hsuan Wu and Roberta M. Ray. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Value in Health, Breast Cancer Research and Treatment 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.

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