Cheng-Fen Tu

1.3k total citations
28 papers, 994 citations indexed

About

Cheng-Fen Tu is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Cheng-Fen Tu has authored 28 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Immunology and 4 papers in Hematology. Recurrent topics in Cheng-Fen Tu's work include Glycosylation and Glycoproteins Research (4 papers), Immunotherapy and Immune Responses (4 papers) and Ubiquitin and proteasome pathways (3 papers). Cheng-Fen Tu is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Immunotherapy and Immune Responses (4 papers) and Ubiquitin and proteasome pathways (3 papers). Cheng-Fen Tu collaborates with scholars based in Taiwan, United States and China. Cheng-Fen Tu's co-authors include Ruey‐Bing Yang, Yuh‐Charn Lin, Mengying Wu, Reiji Kannagi, Shuijin Hu, Dao‐Fu Dai, S. R. Koenning, David Silverman, Yu‐Cheng Chen and Chi‐Chen Lin and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and Free Radical Biology and Medicine.

In The Last Decade

Cheng-Fen Tu

28 papers receiving 975 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cheng-Fen Tu Taiwan 19 545 268 99 67 62 28 994
Jennifer J. Rahn United States 19 897 1.6× 190 0.7× 211 2.1× 18 0.3× 36 0.6× 31 1.5k
Osamu Suzuki Japan 18 632 1.2× 231 0.9× 80 0.8× 12 0.2× 50 0.8× 68 844
Takahiro Ueda Japan 22 1.2k 2.2× 185 0.7× 378 3.8× 43 0.6× 33 0.5× 81 2.3k
Akinori Okumura Japan 22 842 1.5× 118 0.4× 82 0.8× 14 0.2× 23 0.4× 52 1.3k
Guowen Wang China 22 932 1.7× 169 0.6× 399 4.0× 36 0.5× 65 1.0× 91 1.8k
Tohru Okigaki Japan 17 718 1.3× 95 0.4× 151 1.5× 30 0.4× 23 0.4× 59 1.4k
Claudia Manzl Austria 25 1.1k 2.0× 326 1.2× 454 4.6× 59 0.9× 34 0.5× 52 2.0k
Tsuyoshi Yamashita Japan 18 774 1.4× 100 0.4× 175 1.8× 28 0.4× 12 0.2× 32 1.3k
Xin Wei China 17 317 0.6× 215 0.8× 130 1.3× 34 0.5× 21 0.3× 36 730
G Adessi France 19 429 0.8× 206 0.8× 108 1.1× 30 0.4× 54 0.9× 75 1.2k

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-authorship network of co-authors of Cheng-Fen Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Cheng-Fen Tu. A scholar is included among the top collaborators of Cheng-Fen Tu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cheng-Fen Tu. Cheng-Fen Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lee, Kuo‐Hua, Yuh‐Charn Lin, Ming‐Tsun Tsai, et al.. (2024). Plasma SCUBE2 as a novel biomarker associates with survival outcomes in patients with sepsis-associated acute kidney injury. Journal of Microbiology Immunology and Infection. 57(5). 720–729. 2 indexed citations
2.
Lou, Yuan‐Chao, et al.. (2023). Structural insights into the role of N-terminal integrity in PhoSL for core-fucosylated N-glycan recognition. International Journal of Biological Macromolecules. 255. 128309–128309. 1 indexed citations
3.
Tu, Cheng-Fen, Fu‐An Li, Ling‐Hui Li, & Ruey‐Bing Yang. (2022). Quantitative glycoproteomics analysis identifies novel FUT8 targets and signaling networks critical for breast cancer cell invasiveness. Breast Cancer Research. 24(1). 21–21. 11 indexed citations
4.
Lin, Yuh‐Charn, Cheng-Fen Tu, Chien‐Chin Lin, et al.. (2022). Signal peptide-CUB-EGF-like repeat-containing protein 1-promoted FLT3 signaling is critical for the initiation and maintenance of MLL-rearranged acute leukemia. Haematologica. 108(5). 1284–1299. 4 indexed citations
5.
Tu, Cheng-Fen, Mengying Wu, Yuh‐Charn Lin, Reiji Kannagi, & Ruey‐Bing Yang. (2017). FUT8 promotes breast cancer cell invasiveness by remodeling TGF-β receptor core fucosylation. Breast Cancer Research. 19(1). 111–111. 161 indexed citations
6.
Tu, Cheng-Fen, et al.. (2014). SCUBE3 (Signal Peptide-CUB-EGF Domain-containing Protein 3) Modulates Fibroblast Growth Factor Signaling during Fast Muscle Development. Journal of Biological Chemistry. 289(27). 18928–18942. 22 indexed citations
7.
8.
Fisher, S. Zoë, Moanaro Biswas, Balasubramanian Venkatakrishnan, et al.. (2012). Kinetic and structural characterization of thermostabilized mutants of human carbonic anhydrase II. Protein Engineering Design and Selection. 25(7). 347–355. 49 indexed citations
9.
Dai, Dao‐Fu, Peterus Thajeb, Cheng-Fen Tu, et al.. (2008). Plasma Concentration of SCUBE1, a Novel Platelet Protein, Is Elevated in Patients With Acute Coronary Syndrome and Ischemic Stroke. Journal of the American College of Cardiology. 51(22). 2173–2180. 92 indexed citations
10.
Tu, Cheng-Fen, et al.. (2008). Domain and Functional Analysis of a Novel Platelet-Endothelial Cell Surface Protein, SCUBE1. Journal of Biological Chemistry. 283(18). 12478–12488. 87 indexed citations
11.
Lin, Chi‐Chen, et al.. (2007). The Opposing Effects of Lipopolysaccharide on the Antitumor Therapeutic Efficacy of DNA Vaccine. DNA and Cell Biology. 27(3). 151–157. 3 indexed citations
12.
Yang, Hwai‐I, Chuantong Cheng, Wei‐Shiung Lian, et al.. (2007). Transgenic overexpression of the secreted, extracellular EGF-CUB domain-containing protein SCUBE3 induces cardiac hypertrophy in mice. Cardiovascular Research. 75(1). 139–147. 27 indexed citations
13.
Tu, Cheng-Fen, Erik R. Swenson, & David Silverman. (2007). Membrane inlet for mass spectrometric measurement of nitric oxide. Free Radical Biology and Medicine. 43(10). 1453–1457. 23 indexed citations
14.
Lin, Chi‐Chen, et al.. (2007). Inhibitor of Heat-shock Protein 90 Enhances the Antitumor Effect of DNA Vaccine Targeting Clients of Heat-shock Protein. Molecular Therapy. 15(2). 404–410. 18 indexed citations
15.
Tu, Cheng-Fen, Yan Ru Su, Yunfei Huang, et al.. (2006). Localization and characterization of a novel secreted protein SCUBE1 in human platelets. Cardiovascular Research. 71(3). 486–495. 80 indexed citations
16.
Tu, Cheng-Fen, et al.. (2006). Autologous neu DNA vaccine can be as effective as xenogenic neu DNA vaccine by altering administration route. Vaccine. 25(4). 719–728. 18 indexed citations
17.
18.
Lin, Chi‐Chen, Ai‐Li Shiau, Cheng-Fen Tu, et al.. (2004). Therapeutic HER2/Neu DNA Vaccine Inhibits Mouse Tumor Naturally Overexpressing Endogenous Neu. Molecular Therapy. 10(2). 290–301. 53 indexed citations
19.
Tu, Cheng-Fen, S. R. Koenning, & Shuijin Hu. (2003). Root-Parasitic Nematodes Enhance Soil Microbial Activities and Nitrogen Mineralization. Microbial Ecology. 46(1). 134–144. 61 indexed citations
20.
Tu, Cheng-Fen, et al.. (1993). Kinetic analysis of a mutant (His107–>Tyr) responsible for human carbonic anhydrase II deficiency syndrome.. Journal of Biological Chemistry. 268(7). 4775–4779. 14 indexed citations

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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