Chun‐Hung Yang

626 total citations
8 papers, 449 citations indexed

About

Chun‐Hung Yang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Chun‐Hung Yang has authored 8 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Chun‐Hung Yang's work include Radiopharmaceutical Chemistry and Applications (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer Cells and Metastasis (1 paper). Chun‐Hung Yang is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer Cells and Metastasis (1 paper). Chun‐Hung Yang collaborates with scholars based in Taiwan and United States. Chun‐Hung Yang's co-authors include Yu‐Chih Liu, Che‐Kun James Shen, Kuen‐Jer Tsai, I‐Fang Wang, Cheng‐Chun Wu, Miao‐Lin Hu, Hsin‐Chih Lai, Chia‐Chen Lu, Krishan Kumar and David M. Ojcius and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Cancer.

In The Last Decade

Chun‐Hung Yang

8 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun‐Hung Yang Taiwan 6 220 187 125 74 66 8 449
Su Min Lim South Korea 10 125 0.6× 203 1.1× 72 0.6× 104 1.4× 55 0.8× 16 393
Mallikarjun Badadani United States 7 181 0.8× 177 0.9× 149 1.2× 66 0.9× 54 0.8× 11 422
Huadong Fan China 9 174 0.8× 218 1.2× 129 1.0× 69 0.9× 46 0.7× 16 423
Philippe Codron France 11 183 0.8× 202 1.1× 36 0.3× 78 1.1× 50 0.8× 27 428
Elisa Lupino Italy 11 191 0.9× 254 1.4× 30 0.2× 106 1.4× 107 1.6× 14 465
Nirma D. Perera Australia 11 332 1.5× 271 1.4× 126 1.0× 142 1.9× 112 1.7× 17 618
Paola Merino United States 14 124 0.6× 274 1.5× 91 0.7× 34 0.5× 160 2.4× 23 580
Debbie Swing United States 5 390 1.8× 357 1.9× 37 0.3× 190 2.6× 70 1.1× 6 602
Allan Joaquim Lamontanara Switzerland 7 140 0.6× 156 0.8× 25 0.2× 74 1.0× 61 0.9× 7 368
Scott Heller United States 8 313 1.4× 270 1.4× 30 0.2× 285 3.9× 52 0.8× 8 648

Countries citing papers authored by Chun‐Hung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Hung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chun‐Hung Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Hung Yang. A scholar is included among the top collaborators of Chun‐Hung Yang 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 Chun‐Hung Yang. Chun‐Hung Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Yu, Hung‐Man, et al.. (2021). Copper‐mediated nucleophilic radiofluorination of [18F]β‐CFT for positron emission tomography imaging of dopamine transporter. Journal of Labelled Compounds and Radiopharmaceuticals. 64(6). 228–236. 3 indexed citations
2.
Yu, Hung‐Man, et al.. (2020). Hexavalent lactoside labeled with [18F]AlF for PET imaging of asialoglycoprotein receptor. Applied Radiation and Isotopes. 162. 109199–109199. 6 indexed citations
3.
Yu, Hung‐Man, et al.. (2018). Development of single vial kits for preparation of 68Ga‐labelled hexavalent lactoside for PET imaging of asialoglycoprotein receptor. Journal of Labelled Compounds and Radiopharmaceuticals. 61(12). 885–894. 12 indexed citations
4.
Yang, Chun‐Hung, Heng‐Yuan Chang, Yi-Chuan Chen, et al.. (2016). Ethanol extract of Phellinus merrillii protects against diethylnitrosamine- and 2-acetylaminofluorene-induced hepatocarcinogenesis in rats. Chinese Journal of Integrative Medicine. 23(2). 117–124. 5 indexed citations
5.
Yang, Chun‐Hung, Huiling Wang, Yi‐Sheng Lin, et al.. (2014). Identification of CD24 as a Cancer Stem Cell Marker in Human Nasopharyngeal Carcinoma. PLoS ONE. 9(6). e99412–e99412. 64 indexed citations
6.
Wang, I‐Fang, Yu‐Chih Liu, Cheng‐Chun Wu, et al.. (2012). Autophagy activators rescue and alleviate pathogenesis of a mouse model with proteinopathies of the TAR DNA-binding protein 43. Proceedings of the National Academy of Sciences. 109(37). 15024–15029. 314 indexed citations
7.
Lin, Yu‐Ying, Chun‐Hung Yang, Gwo‐Tarng Sheu, et al.. (2011). A novel exon 15‐deleted, splicing variant of Slit2 shows potential for growth inhibition in addition to invasion inhibition in lung cancer. Cancer. 117(15). 3404–3415. 8 indexed citations
8.
Yang, Chun‐Hung, et al.. (2010). 1-Deoxynojirimycin Inhibits Metastasis of B16F10 Melanoma Cells by Attenuating the Activity and Expression of Matrix Metalloproteinases-2 and -9 and Altering Cell Surface Glycosylation. Journal of Agricultural and Food Chemistry. 58(16). 8988–8993. 37 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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