Dan Bao

582 citations
29 papers · 338 · h-index 12

Impact in

Papers in

Dan Bao

25 papers receiving 336 citations

Peers

Dan Bao
Comparison fields: 5 of 92
  • Otorhinolaryngology 38
  • Cardiology and Cardiovascular Medicine 72
  • Radiology, Nuclear Medicine and Imaging 67
  • Internal Medicine 7
  • Molecular Biology 111
Replace Yu‐Hsuan Li with:
Yu‐Hsuan Li Taiwan
Kerstin Rubarth Germany
Dongchul Cha South Korea
Beau Pontré New Zealand
Tiziana Balbi Italy
Ke Qiu China
Ying Zou China
Shuo Wu China
Yuyun Xu China
Yifan Liu China
Dan Bao relative to Yu‐Hsuan Li Taiwan Yu‐Hsuan Li's profile →
Citations per field
00.5×2.8×
Yu‐Hsuan Li · 1×
Citations per year

Countries citing papers authored by Dan Bao

Since Specialization
Citations

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

Fields of papers citing papers by Dan Bao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201256
2 201538
3 201535
4 202031
5 201626
6 202220
7 202217
8 201417
9 201314
10 201614
11 202112
12 201511
13 20209
14 20166
15 20225
16 20225
17 20194
18 20184
19
Wideband digital channelized receiver design
20103
20 20242

About Dan Bao

Dan Bao is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery and Otorhinolaryngology, having authored 29 papers that have together received 338 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), MRI in cancer diagnosis (4 papers), Head and Neck Cancer Studies (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Signaling Pathways in Disease (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cardiomyopathy and Myosin Studies (2 papers) and Venous Thromboembolism Diagnosis and Management (2 papers). The work is most often cited by research in Otorhinolaryngology (38 citations), Cardiology and Cardiovascular Medicine (72 citations), Radiology, Nuclear Medicine and Imaging (67 citations), Internal Medicine (7 citations) and Molecular Biology (111 citations). Dan Bao has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Lianfeng Zhang, Dan Lü, Wei Dong, Yuanwu Ma, Hong Lian, Yanfeng Zhao, Lan Huang, Wei Zhang, Chuan Qin and Xinming Zhao. Their work appears in journals such as Cancer Imaging, Catheterization and Cardiovascular Interventions, Scientific Reports, Insights into Imaging and Medicine.

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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