Ling‐Chun Chen

1.3k citations
24 papers · 567 · h-index 10

Impact in

    • Cancer-related Molecular Pathways
    • Colorectal Cancer Screening and Detection
    • Cancer Genomics and Diagnostics

Papers in

Ling‐Chun Chen

23 papers receiving 558 citations

Peers

Ling‐Chun Chen
Comparison fields: 5 of 91
  • Oncology 145
  • Cancer Research 70
  • Pathology and Forensic Medicine 71
  • Pharmaceutical Science 26
  • Molecular Biology 252
Replace Ana R. Rama with:
Ana R. Rama Spain
Monica Montanari Italy
Junping Ao China
Heng Sun China
Jingxiao Chen China
Hanbing Zou China
Anja Schmaus Germany
Carlos Palmeira Portugal
Ling‐Chun Chen relative to Ana R. Rama Spain Ana R. Rama's profile →
Citations per field
00.5×3.0×
Ana R. Rama · 1×
Citations per year

Countries citing papers authored by Ling‐Chun Chen

Since Specialization
Citations

This map shows the geographic impact of Ling‐Chun Chen'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 Ling‐Chun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling‐Chun Chen more than expected).

Fields of papers citing papers by Ling‐Chun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ling‐Chun Chen. 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 Ling‐Chun Chen. The network helps show where Ling‐Chun Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Ling‐Chun Chen, 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 Ling‐Chun Chen Line = papers co-authored together Ling‐Chun Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The human homologue for the Caenorhabditis elegans cul-4 gene is amplified and overexpressed in primary breast cancers.
1998136
2 2004117
3
Deletion of two separate regions on chromosome 3p in breast cancers.
199497
4 199536
5 200526
6 202324
7 200524
8
Sources of psychological states related to peak performance in elite table tennis players
201118
9 200813
10 199610
11 20239
12 20219
13 20209
14 20228
15 19836
16 20245
17 20224
18 19914
19
Non-isothermal dehydration kinetics of glucose monohydrate, maltose monohydrate and trehalose dihydrate by thermal analysis and DSC-FTIR study
20174
20 20233

About Ling‐Chun Chen

Ling‐Chun Chen is a scholar working on Molecular Biology, Oncology, Biomaterials, Pathology and Forensic Medicine and Dermatology, having authored 24 papers that have together received 567 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Sport Psychology and Performance (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Quantum optics and atomic interactions (2 papers), Advanced Drug Delivery Systems (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Oncology (145 citations), Cancer Research (70 citations), Pathology and Forensic Medicine (71 citations), Pharmaceutical Science (26 citations) and Molecular Biology (252 citations). Ling‐Chun Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Dan H. Moore, Helene S. Smith, Chunyi Hao, James L. Bennington, Nancy M. Lee, Britt‐Marie Ljung, Colin C. Collins, Wen‐Lin Kuo, Shanaz H. Dairkee and Sharmila Manjeshwar. Their work appears in journals such as Pharmaceutics, International Journal of Nanomedicine, Breast Cancer Research and Treatment, Clinical Cancer Research and Drug Delivery.

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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