Guang‐Jer Wu

1.6k citations
48 papers · 1.3k indexed · h-index 23

Guang‐Jer Wu

48 papers receiving 1.2k citations

Peers

Guang‐Jer Wu
Comparison fields: 5 of 86
  • Immunology and Allergy 148
  • Molecular Biology 865
  • Oncology 262
  • Cancer Research 128
  • Endocrinology, Diabetes and Metabolism 135
Replace Francis Gauthier with:
Francis Gauthier France
James W. Peacock Canada
Joseph J. Lucas United States
Hikaru Nagahara Japan
John A. Feild United States
Daniel S. Pereira Brazil
Chi‐Yu Gregory Lee Canada
Oekyung Kim United States
D E Woods United States
T Nikaido Japan
Guang‐Jer Wu relative to Francis Gauthier France Francis Gauthier's profile →
Citations per field
00.5×3.2×
Francis Gauthier · 1×
Citations per year

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

The 25 scholars most cited alongside Guang‐Jer Wu, 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 Guang‐Jer Wu Line = papers co-authored together Guang‐Jer Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20233
2 20168
3 20166
4 201416
5 201146
6 200835
7 200719
8
Soluble METCAM/MUC18 blocks angiogenesis during the in vivo tumor formation of human prostate cancer LNCaP cells
20063
9 200522
10 200535
11 200464
12 200134
13 200184
14 200157
15 199611
16 199525
17 19925
18 19924
19 198816
20 197254

About Guang‐Jer Wu

Guang‐Jer Wu is a scholar working on Immunology and Allergy, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), Glycosylation and Glycoproteins Research (7 papers), RNA Interference and Gene Delivery (7 papers), Cancer Cells and Metastasis (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Prostate Cancer Treatment and Research (5 papers). The work is most often cited by research in Immunology and Allergy (148 citations), Molecular Biology (865 citations), Oncology (262 citations), Cancer Research (128 citations) and Endocrinology, Diabetes and Metabolism (135 citations). Guang‐Jer Wu has collaborated with scholars based in United States, Taiwan and China. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, Gene, Proceedings of the National Academy of Sciences, The Prostate and Journal of Molecular Biology.

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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