Chen‐Tu Wu

6.1k citations
130 papers · 4.4k indexed · h-index 35

Chen‐Tu Wu

125 papers receiving 4.4k citations

Peers

Chen‐Tu Wu
Comparison fields: 5 of 113
  • Oncology 2.1k
  • Pulmonary and Respiratory Medicine 1.9k
  • Cancer Research 778
  • Otorhinolaryngology 127
  • Oral Surgery 187
Replace Colin J.R. Stewart with:
Colin J.R. Stewart Australia
Wojciech Biernat Poland
Tetsuo Ushiku Japan
Makio Mukai Japan
Harriette J. Kahn Canada
Manju L. Prasad United States
Ofer Ben‐Izhak Israel
Guido Valente Italy
Takaaki Sano Japan
Russell Vang United States
Chen‐Tu Wu relative to Colin J.R. Stewart Australia Colin J.R. Stewart's profile →
Citations per field
00.5×1.5×
Colin J.R. Stewart · 1×
Citations per year

Countries citing papers authored by Chen‐Tu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Tu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20222
4 201910
5 201827
6 2017108
7 20154
8 201338
9 20134
10 20123
11 201163
12 2009404
13 20071
14 20079
15 200737
16 200612
17 200554
18 20041
19
Clinical observations on dopamine cardiotonic and diuretic action.
19781
20
[The first case of Conn's disease in Taiwan. (Primary aldosteronism)].
19612

About Chen‐Tu Wu

Chen‐Tu Wu is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Otorhinolaryngology, Cancer Research and Rheumatology, having authored 130 papers that have together received 4.4k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (24 papers), Sarcoma Diagnosis and Treatment (12 papers), Lung Cancer Diagnosis and Treatment (11 papers), Salivary Gland Tumors Diagnosis and Treatment (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), Head and Neck Cancer Studies (7 papers), Lung Cancer Research Studies (7 papers) and Cancer Genomics and Diagnostics (6 papers). The work is most often cited by research in Oncology (2.1k citations), Pulmonary and Respiratory Medicine (1.9k citations), Cancer Research (778 citations), Otorhinolaryngology (127 citations) and Oral Surgery (187 citations). Chen‐Tu Wu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yih‐Leong Chang, Yung-Chie Lee, Pan‐Chyr Yang, Jin‐Yuan Shih, Mong‐Wei Lin, Ching‐Yao Yang, Tse-Ming Hong, Szu‐Hua Pan, Chong‐Jen Yu and Wing‐Kai Chan. Their work appears in journals such as Annals of Surgical Oncology, Lung Cancer, Journal of Thoracic and Cardiovascular Surgery, Oral Oncology and European Journal of Cancer.

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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