Ching‐Fang Yu

1.3k total citations
50 papers, 1.0k citations indexed

About

Ching‐Fang Yu is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Immunology. According to data from OpenAlex, Ching‐Fang Yu has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atomic and Molecular Physics, and Optics, 15 papers in Electrical and Electronic Engineering and 14 papers in Immunology. Recurrent topics in Ching‐Fang Yu's work include Gyrotron and Vacuum Electronics Research (15 papers), Immune cells in cancer (12 papers) and Microwave Engineering and Waveguides (11 papers). Ching‐Fang Yu is often cited by papers focused on Gyrotron and Vacuum Electronics Research (15 papers), Immune cells in cancer (12 papers) and Microwave Engineering and Waveguides (11 papers). Ching‐Fang Yu collaborates with scholars based in Taiwan, United States and Italy. Ching‐Fang Yu's co-authors include Tsun‐Hsu Chang, Chi‐Shiun Chiang, Ji‐Hong Hong, George T.Y. Chen, Shu‐Chi Wang, Chien-Sheng Tsai, C. N. Wu, Min‐Hsien Wang, Hsien‐Te Peng and Cheng-Hsien Li and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Ching‐Fang Yu

48 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching‐Fang Yu Taiwan 17 312 298 252 218 194 50 1.0k
Ryo Ohta Japan 17 88 0.3× 137 0.5× 114 0.5× 328 1.5× 251 1.3× 92 961
Guofeng Guan Singapore 15 95 0.3× 356 1.2× 51 0.2× 230 1.1× 326 1.7× 20 1.6k
Philipp Rosendahl Germany 10 141 0.5× 67 0.2× 46 0.2× 160 0.7× 78 0.4× 15 1.1k
Tae Soo Kim South Korea 19 39 0.1× 260 0.9× 26 0.1× 347 1.6× 251 1.3× 61 1.1k
Jiwei Jiao China 15 164 0.5× 250 0.8× 40 0.2× 234 1.1× 66 0.3× 54 596
L Jansson Sweden 18 66 0.2× 70 0.2× 599 2.4× 196 0.9× 216 1.1× 23 1.3k
Michael Kulke Germany 13 324 1.0× 62 0.2× 54 0.2× 723 3.3× 234 1.2× 44 1.6k
Tatsuya Kinoshita Japan 17 100 0.3× 46 0.2× 498 2.0× 262 1.2× 68 0.4× 34 923
Ping Huang China 15 58 0.2× 78 0.3× 106 0.4× 348 1.6× 109 0.6× 46 818
Tatsuya Kawase Japan 16 20 0.1× 97 0.3× 124 0.5× 471 2.2× 316 1.6× 34 957

Countries citing papers authored by Ching‐Fang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Fang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Fang Yu. 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 Ching‐Fang Yu. The network helps show where Ching‐Fang Yu may publish in the future.

Co-authorship network of co-authors of Ching‐Fang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Fang Yu. A scholar is included among the top collaborators of Ching‐Fang Yu 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 Ching‐Fang Yu. Ching‐Fang Yu 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.
2.
Chen, Chao, et al.. (2024). Distinct roles of small extracellular vesicles from resident and infiltrating macrophages on glioma growth and mobility. Journal of Cancer. 16(3). 969–981. 1 indexed citations
3.
Chang, Chun‐Hsiang, Ching‐Fang Yu, George T.Y. Chen, Yiwei Chen, & Chi‐Shiun Chiang. (2024). The Level of Circulating M-MDSCs as an Indicator for the Therapeutic Outcome of BNCT in End-Stage Malignant Brain Tumor Patients. International Journal of Particle Therapy. 14. 100633–100633. 2 indexed citations
4.
5.
Chang, Chun‐Hsiang, et al.. (2023). Targeting M-MDSCs enhances the therapeutic effect of BNCT in the 4-NQO-induced murine head and neck squamous cell carcinoma model. Frontiers in Oncology. 13. 1263873–1263873. 9 indexed citations
6.
Yu, Ching‐Fang, et al.. (2021). Ablative Radiotherapy Reprograms the Tumor Microenvironment of a Pancreatic Tumor in Favoring the Immune Checkpoint Blockade Therapy. International Journal of Molecular Sciences. 22(4). 2091–2091. 16 indexed citations
7.
Chen, George T.Y., Ching‐Fang Yu, Yu‐Chun Lin, et al.. (2020). Multimodal imaging reveals transient liver metabolic disturbance and sinusoidal circulation obstruction after a single administration of ketamine/xylazine mixture. Scientific Reports. 10(1). 3657–3657. 8 indexed citations
8.
Liu, Chia‐Chi, et al.. (2019). Sigma-2 receptor/TMEM97 agonist PB221 as an alternative drug for brain tumor. BMC Cancer. 19(1). 473–473. 22 indexed citations
9.
Yu, Ching‐Fang, et al.. (2018). Integrated microRNA and mRNA expression profile analysis of tumor-associated macrophages after exposure to single-dose irradiation. Computational Biology and Chemistry. 74. 368–378. 1 indexed citations
10.
Yu, Ching‐Fang, et al.. (2017). Gene expression profiling of tumor-associated macrophages after exposure to single-dose irradiation. Computational Biology and Chemistry. 69. 138–146. 6 indexed citations
11.
Chen, George T.Y., Chun‐Chieh Wang, Ching‐Fang Yu, et al.. (2016). Decline of Tumor Vascular Function as Assessed by Dynamic Contrast-Enhanced Magnetic Resonance Imaging Is Associated With Poor Responses to Radiation Therapy and Chemotherapy. International Journal of Radiation Oncology*Biology*Physics. 95(5). 1495–1503. 7 indexed citations
12.
Yu, Ching‐Fang, et al.. (2015). Irradiation Enhances the Ability of Monocytes as Nanoparticle Carrier for Cancer Therapy. PLoS ONE. 10(9). e0139043–e0139043. 11 indexed citations
13.
Huang, Wen‐Chia, Wen‐Hsuan Chiang, Wan-Chi Lin, et al.. (2015). Tumortropic monocyte-mediated delivery of echogenic polymer bubbles and therapeutic vesicles for chemotherapy of tumor hypoxia. Biomaterials. 71. 71–83. 96 indexed citations
14.
Yu, Ching‐Fang, Ji‐Hong Hong, & Chi‐Shiun Chiang. (2013). The Roles of Macrophages and Nitric Oxide in Interleukin-3-Enhanced HSV-Sr39tk-Mediated Prodrug Therapy. PLoS ONE. 8(2). e56508–e56508. 9 indexed citations
15.
Chiang, Chi‐Shiun, et al.. (2012). Irradiation Promotes an M2 Macrophage Phenotype in Tumor Hypoxia. SHILAP Revista de lepidopterología. 2. 89–89. 160 indexed citations
16.
Peng, Hsien‐Te, et al.. (2012). The Acute Effect of Drop Jump Protocols With Different Volumes and Recovery Time on Countermovement Jump Performance. The Journal of Strength and Conditioning Research. 27(1). 154–158. 48 indexed citations
17.
Lo, Kwok Wai, et al.. (2011). Development of the hybrid Sleeping Beauty-baculovirus vector for sustained gene expression and cancer therapy. Gene Therapy. 19(8). 844–851. 40 indexed citations
18.
Chiang, Chi‐Shiun, et al.. (2008). Comparison of Bioactivities of 5-Fluoro, 5-Iodo, 5-Iodovinyl, and 5-Fluorovinyl Arabinosyl Uridines against SR-39 TK-Transfected Murine Prostate Cancer Cells. Chemical and Pharmaceutical Bulletin. 56(1). 109–111. 5 indexed citations
19.
Yu, Ching‐Fang, et al.. (2006). High-Performance Circular TE21 TE01 and TE41. 53. 84–84. 1 indexed citations
20.
Chang, Tsun‐Hsu, et al.. (2005). Dynamics of Mode Competition in the Gyrotron Backward-Wave Oscillator. Physical Review Letters. 95(18). 185101–185101. 41 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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