Hsing‐Yang Tu

34 papers receiving 560 citations

Peers

Hsing‐Yang Tu
Comparison fields: 5 of 55
  • Orthopedics and Sports Medicine 154
  • Hepatology 86
  • Radiology, Nuclear Medicine and Imaging 174
  • Neurology 91
  • Surgery 218
Replace Conor Shortt with:
Conor Shortt Ireland
Ian Pressney United Kingdom
James W. Walsh United States
Emanuele Grassedonio Italy
Hideyuki Ishijima Japan
Boris Kreuzberg Czechia
Michael Khoo United Kingdom
Vrushab Rao United States
H.–J. Brambs Germany
Rudy Van Hemert United States
Hsing‐Yang Tu relative to Conor Shortt Ireland Conor Shortt's profile →
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Citations per year

Countries citing papers authored by Hsing‐Yang Tu

Since Specialization
Citations

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

Fields of papers citing papers by Hsing‐Yang Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008103
2 200287
3 200181
4 200247
5 200425
6
Spontaneous regression of hepatocellular carcinoma: a case report and literature review.
200423
7 200222
8 199521
9 197421
10 200420
11 200617
12 200411
13 199810
14 20099
15 19949
16 20059
17 20038
18 20027
19 20087
20 20035

About Hsing‐Yang Tu

Hsing‐Yang Tu is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Hepatology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 36 papers that have together received 582 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Medical Imaging and Pathology Studies (4 papers), MRI in cancer diagnosis (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Genetic and Kidney Cyst Diseases (3 papers), Advanced X-ray and CT Imaging (3 papers) and Radiation Dose and Imaging (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (154 citations), Hepatology (86 citations), Radiology, Nuclear Medicine and Imaging (174 citations), Neurology (91 citations) and Surgery (218 citations). Hsing‐Yang Tu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Tiffany Ting‐Fang Shih, Ran‐Chou Chen, Wei-Tsung Chen, W.Y. Shau, Chen‐Te Chou, Wing P. Chan, R. H. Bottomley, Guo-Shu Huang, Ran-Chou Chen and Ting‐an Zhang. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Acta Radiologica, Cancer, Clinical Radiology and American Journal of Roentgenology.

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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