Baolin Qu

1.4k citations
75 papers · 495 · h-index 13

Impact in

Papers in

Baolin Qu

67 papers receiving 495 citations

Peers

Baolin Qu
Comparison fields: 5 of 77
  • Otorhinolaryngology 52
  • Radiation 82
  • Radiology, Nuclear Medicine and Imaging 136
  • Cancer Research 52
  • Pulmonary and Respiratory Medicine 98
Replace Anna Gasińska with:
Anna Gasińska Poland
Jacqueline Kruse Netherlands
Jingbo Wang China
Yaoxiong Xia China
Jinming Yu China
Julia Haagen Germany
Evangelia Peponi Greece
Wenhui Li China
H. Johns United Kingdom
Marijana Vanevski Australia
Baolin Qu relative to Anna Gasińska Poland Anna Gasińska's profile →
Citations per field
00.5×6.4×
Anna Gasińska · 1×
Citations per year

Countries citing papers authored by Baolin Qu

Since Specialization
Citations

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

Fields of papers citing papers by Baolin Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201424
2 201524
3 202122
4 202221
5 202119
6 202219
7 202017
8 202016
9 201516
10 201414
11 202014
12 202114
13 201714
14 201812
15 202012
16 202511
17 201811
18 202411
19 202010
20 20169

About Baolin Qu

Baolin Qu is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Radiation, Molecular Biology and Otorhinolaryngology, having authored 75 papers that have together received 495 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (14 papers), Head and Neck Cancer Studies (12 papers), Effects of Radiation Exposure (11 papers), Brain Metastases and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Glutathione Transferases and Polymorphisms (5 papers), Medical Imaging Techniques and Applications (5 papers) and Lung Cancer Diagnosis and Treatment (5 papers). The work is most often cited by research in Otorhinolaryngology (52 citations), Radiation (82 citations), Radiology, Nuclear Medicine and Imaging (136 citations), Cancer Research (52 citations) and Pulmonary and Respiratory Medicine (98 citations). Baolin Qu has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Shouping Xu, Na Ma, Fang Liu, Yu Wei, Pei Zhang, Yanan Han, Jinyuan Wang, Yurong Huang, Lei Xiao and Xingdong Guo. Their work appears in journals such as Frontiers in Oncology, International Journal of Radiation Oncology*Biology*Physics, BioMed Research International, BMC Cancer and Technology in Cancer Research & Treatment.

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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