Tsang‐Wei Tu

1.1k citations
28 papers · 818 · h-index 13

Impact in

Papers in

Tsang‐Wei Tu

27 papers receiving 815 citations

Peers

Tsang‐Wei Tu
Comparison fields: 5 of 78
  • Radiology, Nuclear Medicine and Imaging 413
  • Computational Mathematics 5
  • Neurology 113
  • Orthopedics and Sports Medicine 62
  • Neurology 57
Replace Oktay Algın with:
Oktay Algın Türkiye
Jae K. Kim United States
Eliza Gordon‐Lipkin United States
Russell Ouellette Sweden
Kurt H. Bockhorst United States
Peter CM van Zijl United States
Francesca Tona Italy
Élise Bannier France
Jean‐Marie Caillé France
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Citations per field
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Citations per year

Countries citing papers authored by Tsang‐Wei Tu

Since Specialization
Citations

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

Fields of papers citing papers by Tsang‐Wei Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsang‐Wei Tu. 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 Tsang‐Wei Tu. The network helps show where Tsang‐Wei Tu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011318
2 201680
3 201859
4 201249
5 201948
6 201943
7 200924
8 201324
9 200923
10 201319
11 201419
12 201618
13 201714
14 201812
15 202010
16 20179
17 20139
18 20208
19 20098
20 20148

About Tsang‐Wei Tu

Tsang‐Wei Tu is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pathology and Forensic Medicine, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 28 papers that have together received 818 indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (11 papers), Advanced MRI Techniques and Applications (6 papers), Ultrasound and Hyperthermia Applications (6 papers), Spinal Cord Injury Research (4 papers), Spinal Dysraphism and Malformations (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), S100 Proteins and Annexins (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (413 citations), Computational Mathematics (5 citations), Neurology (113 citations), Orthopedics and Sports Medicine (62 citations) and Neurology (57 citations). Tsang‐Wei Tu has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include Sheng‐Kwei Song, Joseph A. Frank, Kathryn Trinkaus, Mingqiang Xie, Robyn S. Klein, Yong Wang, Peng Sun, Justin P. Haldar, Anne H. Cross and Qing Wang. Their work appears in journals such as Journal of Neurotrauma, NMR in Biomedicine, Theranostics, JACC Basic to Translational Science and Journal of Neuroinflammation.

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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