Dan Ou

1.0k citations
38 papers · 738 indexed · h-index 17

Impact in

    • Head and Neck Cancer Studies
  • Oncology top 10%
    • Lung Cancer Research Studies
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Head and Neck Cancer Studies 29
    • Lung Cancer Research Studies 16
    • Inflammatory Biomarkers in Disease Prognosis 3

Dan Ou

36 papers receiving 729 citations

Peers

Dan Ou
Comparison fields: 5 of 61
  • Otorhinolaryngology 272
  • Oncology 278
  • Cancer Research 114
  • Radiology, Nuclear Medicine and Imaging 137
  • Pulmonary and Respiratory Medicine 146
Replace Fangfang Kong with:
Fangfang Kong China
Mary‐Keara Boss United States
Xiumei Ma China
Anthony T. Pu United States
Alexander H. Staudacher Australia
Jenny Ling‐Yu Chen Taiwan
Rebecca W. Gao United States
Hao Hu China
Jia-Qing Xiang China
Hidemasa Kawamura Japan
Dan Ou relative to Fangfang Kong China Fangfang Kong's profile →
Citations per field
00.5×1.5×2.2×
Fangfang Kong · 1×
Citations per year

Countries citing papers authored by Dan Ou

Since Specialization
Citations

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

Fields of papers citing papers by Dan Ou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201986
2 201981
3 201774
4 201773
5 201942
6 201642
7 201734
8 201828
9 201328
10 201126
11 201322
12 201619
13 201819
14 201718
15 201717
16 201716
17 201816
18 201711
19 20199
20 20129

About Dan Ou

Dan Ou is a scholar working on Otorhinolaryngology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 38 papers that have together received 738 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (29 papers), Lung Cancer Research Studies (16 papers), Head and Neck Surgical Oncology (10 papers), Brain Metastases and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers) and Colorectal and Anal Carcinomas (3 papers). The work is most often cited by research in Otorhinolaryngology (272 citations), Oncology (278 citations), Cancer Research (114 citations), Radiology, Nuclear Medicine and Imaging (137 citations) and Pulmonary and Respiratory Medicine (146 citations). Dan Ou has collaborated with scholars based in China, France and Netherlands. Frequent co-authors include Zhixian Liang, Zuanguang Chen, Duanping Sun, Xiangan Lin, Xiayun He, Chaosu Hu, Stéphane Temam, Pierre Blanchard, Yungan Tao and Antonin Lévy. Their work appears in journals such as Oral Oncology, International Journal of Radiation Oncology*Biology*Physics, Radiotherapy and Oncology, Cancer Medicine and Translational 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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