I‐Fen Chen

435 citations
14 papers · 357 · h-index 10

Impact in

Papers in

    • Natural product bioactivities and synthesis 2
    • Cancer therapeutics and mechanisms 1
    • Cytokine Signaling Pathways and Interactions 3
    • HER2/EGFR in Cancer Research 2

I‐Fen Chen

14 papers receiving 356 citations

Peers

I‐Fen Chen
Comparison fields: 5 of 81
  • Molecular Medicine 28
  • Immunology 83
  • Oncology 86
  • Biochemistry 17
  • Molecular Biology 188
Replace Sawitree Chiampanichayakul with:
Sawitree Chiampanichayakul Thailand
Daiju Ichikawa Japan
Jen-Wei Chiao United States
Tiep Tien Nguyen South Korea
Ha Na Choi South Korea
Suraj K. George United States
Bindya Jacob Singapore
Bilan Wang China
Aline Beckenkamp Brazil
Baozhen Zeng China
I‐Fen Chen relative to Sawitree Chiampanichayakul Thailand Sawitree Chiampanichayakul's profile →
Citations per field
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Sawitree Chiampanichayakul · 1×
Citations per year

Countries citing papers authored by I‐Fen Chen

Since Specialization
Citations

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

Fields of papers citing papers by I‐Fen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2006111
2 200647
3 201540
4 201031
5 201331
6 201826
7 201816
8 201415
9 201012
10 201610
11 20178
12 20235
13
Angelicin inhibits the growth and migration of triple-negative breast cancer cells.
20233
14 20102

About I‐Fen Chen

I‐Fen Chen is a scholar working on Molecular Biology, Oncology, Biomaterials, Organic Chemistry and Rheumatology, having authored 14 papers that have together received 357 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Natural product bioactivities and synthesis (2 papers), HER2/EGFR in Cancer Research (2 papers), Curcumin's Biomedical Applications (2 papers), Acoustic Wave Resonator Technologies (1 paper), Genetic factors in colorectal cancer (1 paper) and Cancer therapeutics and mechanisms (1 paper). The work is most often cited by research in Molecular Medicine (28 citations), Immunology (83 citations), Oncology (86 citations), Biochemistry (17 citations) and Molecular Biology (188 citations). I‐Fen Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Fu Ou‐Yang, Ming‐Feng Hou, Shao‐Chun Wang, Shyh‐Ming Kuo, Mien‐Chie Hung, Jen‐Yu Hung, Hongying Wang, Gabriel N. Hortobágyi, Shyng‐Shiou F. Yuan and Shwu‐Jen Chang. Their work appears in journals such as Molecules, Molecular Cancer Therapeutics, Neoplasia, Journal of Biomedical Materials Research Part B Applied Biomaterials and Antioxidants.

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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