Cheng-Fen Tu

1.3k citations
28 papers · 994 · h-index 19

Impact in

  • Immunology top 10%
    • Galectins and Cancer Biology
    • Immunotherapy and Immune Responses
    • Aquaculture disease management and microbiota
    • Aquaculture Nutrition and Growth

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Cancer-related gene regulation 3
    • Enzyme function and inhibition 3
    • Ubiquitin and proteasome pathways 3
    • Immunotherapy and Immune Responses 4
    • Galectins and Cancer Biology 2

Cheng-Fen Tu

28 papers receiving 975 citations

Peers

Cheng-Fen Tu
Comparison fields: 5 of 115
  • Immunology 268
  • Aquatic Science 67
  • Molecular Biology 545
  • Immunology and Allergy 33
  • Hematology 54
Replace Benjamin Nota with:
Benjamin Nota Netherlands
Erin B. Taylor United States
Daniel L. Combs United States
James Bollinger United States
Takahiro Ueda Japan
Neli Kachamakova‐Trojanowska Poland
Robert S. Siegel United States
Ruth Ann Henriksen United States
Yulong Fu China
David L. Lattier United States
Cheng-Fen Tu relative to Benjamin Nota Netherlands Benjamin Nota's profile →
Citations per field
00.5×4.5×
Benjamin Nota · 1×
Citations per year

Countries citing papers authored by Cheng-Fen Tu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Fen Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Fen Tu. 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 Cheng-Fen Tu. The network helps show where Cheng-Fen Tu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017161
2 200892
3 200887
4 200680
5 200680
6 200361
7 200453
8 199452
9 201249
10 200727
11 202025
12 200723
13 201422
14 200920
15 201219
16 200819
17 200618
18 200718
19 201418
20 199314

About Cheng-Fen Tu

Cheng-Fen Tu is a scholar working on Molecular Biology, Immunology, Hematology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 994 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Glycosylation and Glycoproteins Research (4 papers), Cancer-related gene regulation (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Enzyme function and inhibition (3 papers), Platelet Disorders and Treatments (3 papers), Ubiquitin and proteasome pathways (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Immunology (268 citations), Aquatic Science (67 citations), Molecular Biology (545 citations), Immunology and Allergy (33 citations) and Hematology (54 citations). Cheng-Fen Tu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Ruey‐Bing Yang, Yuh‐Charn Lin, Mengying Wu, Reiji Kannagi, Dao‐Fu Dai, Shuijin Hu, S. R. Koenning, David Silverman, Yu‐Cheng Chen and Ming-Tzu Tsai. Their work appears in journals such as Journal of Biological Chemistry, Molecular Therapy, Cardiovascular Research, Breast Cancer Research and Free Radical Biology and Medicine.

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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