W. Mai

887 citations
35 papers · 708 · h-index 9

Impact in

Papers in

    • Prostate Cancer Diagnosis and Treatment 13
    • Prostate Cancer Treatment and Research 10
    • Radiation Therapy and Dosimetry 4
    • Lung Cancer Diagnosis and Treatment 3
    • Advanced Radiotherapy Techniques 11

W. Mai

33 papers receiving 703 citations

Peers

W. Mai
Comparison fields: 5 of 71
  • Radiation 281
  • Otorhinolaryngology 54
  • Pulmonary and Respiratory Medicine 397
  • Genetics 103
  • Hepatology 60
Replace Shichuan Zhang with:
Shichuan Zhang United States
Gabriele Reinartz Germany
Anthony T. Pu United States
L. Caravatta Italy
Shuichi Kanamori Japan
Minghuan Li China
Mao-Bin Meng China
Stefano Vagge Italy
Stella Lymberis United States
Dianbin Mu China
W. Mai relative to Shichuan Zhang United States Shichuan Zhang's profile →
Citations per field
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Shichuan Zhang · 1×
Citations per year

Countries citing papers authored by W. Mai

Since Specialization
Citations

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

Fields of papers citing papers by W. Mai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Mai. 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 W. Mai. The network helps show where W. Mai may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001156
2
Met protein expression level correlates with survival in patients with late-stage nasopharyngeal carcinoma.
2002118
3 2004105
4 200069
5 200852
6 200548
7 200236
8 201727
9 201126
10 20027
11 20067
12 20196
13 20186
14 20126
15 20134
16 20233
17 20023
18 20033
19 20023
20 20043

About W. Mai

W. Mai is a scholar working on Pulmonary and Respiratory Medicine, Radiation, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Otorhinolaryngology, having authored 35 papers that have together received 708 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (13 papers), Advanced Radiotherapy Techniques (11 papers), Prostate Cancer Treatment and Research (10 papers), Head and Neck Cancer Studies (7 papers), Radiation Therapy and Dosimetry (4 papers), Cancer Research and Treatments (3 papers), Salivary Gland Tumors Diagnosis and Treatment (3 papers) and Lung Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Radiation (281 citations), Otorhinolaryngology (54 citations), Pulmonary and Respiratory Medicine (397 citations), Genetics (103 citations) and Hepatology (60 citations). W. Mai has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Bin S. Teh, Walter H. Grant, L.Steven Carpenter, Shiao Y. Woo, Joseph Chiu, Hsin H Lu, E. Brian Butler, Mark E. Augspurger, Hua-Qing Min and Ming‐Huang Hong. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Cancer, Cancer Communications, International Journal of Urology and Journal of Thoracic and Cardiovascular Surgery.

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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