Shang‐Ju Wu

4.5k citations
95 papers · 2.3k indexed · h-index 25
Topics
Lymphoma Diagnosis and Treatment (29 papers)Acute Myeloid Leukemia Research (20 papers)Chronic Lymphocytic Leukemia Research (14 papers)
Partner nations
TaiwanUnited StatesItaly

In The Last Decade

Shang‐Ju Wu

86 papers receiving 2.2k citations

Peers

Shang‐Ju Wu
Comparison fields: 5 of 116
  • Hematology 1.2k
  • Molecular Biology 961
  • Genetics 647
  • Oncology 330
  • Cancer Research 277
Replace Torsten Keßler with:
Torsten Keßler Germany
Martin Wermke Germany
Susanne Viehmann Germany
Loretta Gammaitoni Italy
Anna Andersson Sweden
Hélène A. Poirel Belgium
Éric Jourdan France
Trilok Parekh United States
Neha Korde United States
Nikolas von Bubnoff Germany
Shang‐Ju Wu relative to Torsten Keßler Germany Torsten Keßler's profile →
Citations per field
00.5×3.6×
Torsten Keßler · 1×
Citations per year

Countries citing papers authored by Shang‐Ju Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shang‐Ju Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang‐Ju Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shang‐Ju Wu. A scholar is included among the top collaborators of Shang‐Ju 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 Shang‐Ju Wu. Shang‐Ju 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
#WorkIndexed citations
1 0
2 0
3 1
4 0
5 2
6 0
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8 1
9 0
10 5
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12 20
13 1
14 6
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A high performance V-band low noise amplifier using thin-film microstrip (TFMS) lines in 0.13 µm CMOS technology
3
18 88
19 115
20
Neonatal screening for glucose-6-phosphate dehydrogenase deficiency in Taiwan.
23

About Shang‐Ju Wu

Shang‐Ju Wu is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 95 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (29 papers), Acute Myeloid Leukemia Research (20 papers) and Chronic Lymphocytic Leukemia Research (14 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (647 citations) and Cancer Research (277 citations). Shang‐Ju Wu has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Hwei‐Fang Tien, Jih‐Luh Tang, Ming Yao, Wen‐Chien Chou, Woei Tsay, Chien‐Yuan Chen, Shang‐Yi Huang, Hsin‐An Hou, Mei‐Hsuan Tseng and Bor‐Sheng Ko. Their work appears in journals such as Advanced Materials, Journal of Biological Chemistry and Journal of Clinical Oncology.

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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