Guang‐Jer Wu

1.6k total citations
48 papers, 1.3k citations indexed

About

Guang‐Jer Wu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Guang‐Jer Wu has authored 48 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 10 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Genetics. Recurrent topics in Guang‐Jer Wu's work include Virus-based gene therapy research (8 papers), Glycosylation and Glycoproteins Research (7 papers) and RNA Interference and Gene Delivery (7 papers). Guang‐Jer Wu is often cited by papers focused on Virus-based gene therapy research (8 papers), Glycosylation and Glycoproteins Research (7 papers) and RNA Interference and Gene Delivery (7 papers). Guang‐Jer Wu collaborates with scholars based in United States, Taiwan and China. Guang‐Jer Wu's co-authors include Mei‐Whey H. Wu, George Bruening, Geoffrey Zubay, Ronald E. Cannon, Guofang Zeng, Igor B. Dawid, Shaoxi Cai, Lawrence S. Phillips, Paul Farmer and Hsiuchin Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Guang‐Jer Wu

48 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guang‐Jer Wu United States 23 865 262 206 148 135 48 1.3k
Oekyung Kim United States 13 611 0.7× 205 0.8× 302 1.5× 103 0.7× 103 0.8× 17 1.2k
Daniel S. Pereira Brazil 22 885 1.0× 440 1.7× 338 1.6× 36 0.2× 187 1.4× 76 1.7k
James W. Peacock Canada 24 931 1.1× 525 2.0× 140 0.7× 71 0.5× 45 0.3× 41 1.6k
Francis Gauthier France 21 486 0.6× 203 0.8× 94 0.5× 90 0.6× 42 0.3× 39 1.2k
Joseph J. Lucas United States 27 983 1.1× 374 1.4× 243 1.2× 98 0.7× 30 0.2× 65 1.8k
John A. Feild United States 16 905 1.0× 405 1.5× 341 1.7× 105 0.7× 26 0.2× 24 1.5k
Hikaru Nagahara Japan 12 1.1k 1.2× 349 1.3× 244 1.2× 50 0.3× 33 0.2× 19 1.4k
D Herrick United States 14 1.1k 1.3× 186 0.7× 87 0.4× 67 0.5× 42 0.3× 15 1.6k
Maurice C. Owen New Zealand 16 779 0.9× 371 1.4× 144 0.7× 85 0.6× 59 0.4× 33 1.7k
Rudolf Hauptmann Austria 15 541 0.6× 147 0.6× 68 0.3× 65 0.4× 43 0.3× 16 1.0k

Countries citing papers authored by Guang‐Jer Wu

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐Jer Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang‐Jer Wu. 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 Guang‐Jer Wu. The network helps show where Guang‐Jer Wu may publish in the future.

Co-authorship network of co-authors of Guang‐Jer Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Guang‐Jer Wu. A scholar is included among the top collaborators of Guang‐Jer Wu 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 Guang‐Jer Wu. Guang‐Jer Wu 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.
Wu, Guang‐Jer, et al.. (2023). METCAM Is a Potential Biomarker for Predicting the Malignant Propensity of and as a Therapeutic Target for Prostate Cancer. Biomedicines. 11(1). 205–205. 3 indexed citations
2.
Wu, Guang‐Jer, et al.. (2016). METCAM/MUC18 promoted tumorigenesis of human breast cancer SK-BR-3 cells in a dosage-specific manner. Taiwanese Journal of Obstetrics and Gynecology. 55(2). 202–212. 8 indexed citations
3.
4.
Lin, Jin‐Ching, et al.. (2014). Significance of Expression of Human METCAM/MUC18 in Nasopharyngeal Carcinomas and Metastatic Lesions. Asian Pacific Journal of Cancer Prevention. 15(1). 245–252. 16 indexed citations
5.
Zeng, Guofang, Shaoxi Cai, & Guang‐Jer Wu. (2011). Up-regulation of METCAM/MUC18 promotes motility, invasion, and tumorigenesis of human breast cancer cells. BMC Cancer. 11(1). 113–113. 46 indexed citations
6.
7.
Hsieh, Chia‐Ling, Zhihui Xie, Jie Yu, et al.. (2007). Non‐invasive bioluminescent detection of prostate cancer growth and metastasis in a bigenic transgenic mouse model. The Prostate. 67(7). 685–691. 19 indexed citations
8.
Wu, Guang‐Jer, et al.. (2006). Soluble METCAM/MUC18 blocks angiogenesis during the in vivo tumor formation of human prostate cancer LNCaP cells. Cancer Research. 66. 59–59. 3 indexed citations
9.
Chiang, Cheng‐Feng, et al.. (2005). Oral treatment of the TRAMP mice with doxazosin suppresses prostate tumor growth and metastasis. The Prostate. 64(4). 408–418. 22 indexed citations
10.
Wu, Guang‐Jer, et al.. (2005). INCREASED EXPRESSION OF MUC18 CORRELATES WITH THE METASTATIC PROGRESSION OF MOUSE PROSTATE ADENOCARCINOMA IN THE TRAMP MODEL. The Journal of Urology. 173(5). 1778–1783. 35 indexed citations
11.
Wu, Guang‐Jer, et al.. (2004). Ectopical expression of human MUC18 increases metastasis of human prostate cancer cells. Gene. 327(2). 201–213. 64 indexed citations
12.
Yang, Hsiuchin, Zhong Liu, Mei‐Whey H. Wu, et al.. (2001). Isolation and characterization of mouse MUC18 cDNA gene, and correlation of MUC18 expression in mouse melanoma cell lines with metastatic ability. Gene. 265(1-2). 133–145. 34 indexed citations
13.
14.
Wu, Guang‐Jer, Vijay Varma, Mei‐Whey H. Wu, et al.. (2001). Expression of a human cell adhesion molecule, MUC18, in prostate cancer cell lines and tissues. The Prostate. 48(4). 305–315. 57 indexed citations
15.
Pao, Ching‐I, et al.. (1996). In Vitro Transcription of the Rat Insulin-like Growth Factor-I Gene. Journal of Biological Chemistry. 271(15). 8667–8674. 11 indexed citations
16.
Pao, Ching‐I, et al.. (1995). Transcriptional Regulation of the Rat Insulin-like Growth Factor-I Gene Involves Metabolism-dependent Binding of Nuclear Proteins to a Downstream Region. Journal of Biological Chemistry. 270(42). 24917–24922. 25 indexed citations
17.
Wu, Guang‐Jer, et al.. (1992). Stable Expression of Functional Human Cytomegalovirus Immediate-Early Proteins IE1 and IE2 in HeLa Cells. Intervirology. 34(2). 94–104. 5 indexed citations
18.
Bandea, Claudiu, Mei‐Whey H. Wu, & Guang‐Jer Wu. (1992). Adenovirus VARNA1 gene B block promoter element sequences required for transcription and for interaction with transcription factors. Journal of Molecular Biology. 227(4). 1068–1085. 4 indexed citations
19.
Sumner, John W., John H. Shaddock, Guang‐Jer Wu, & George Μ. Baer. (1988). Oral administration of an attenuated strain of canine adenovirus (type 2) to raccoons, foxes, skunk, and mongoose. American Journal of Veterinary Research. 49(2). 169–171. 16 indexed citations
20.
Wu, Guang‐Jer & Igor B. Dawid. (1972). Purification and properties of mitochondrial deoxyribonucleic acid dependent ribonucleic acid polymerase from ovaries of Xenopus laevis. Biochemistry. 11(19). 3589–3595. 54 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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