Kun Qiao

657 total citations · 1 hit paper
13 papers, 401 citations indexed

About

Kun Qiao is a scholar working on Infectious Diseases, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kun Qiao has authored 13 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 2 papers in Surgery and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kun Qiao's work include Tuberculosis Research and Epidemiology (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Mechanical stress and fatigue analysis (1 paper). Kun Qiao is often cited by papers focused on Tuberculosis Research and Epidemiology (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Mechanical stress and fatigue analysis (1 paper). Kun Qiao collaborates with scholars based in China. Kun Qiao's co-authors include Zheng Zhang, Lei Liu, Ting Huang, Na Xin, Lu Chen, Meizhou Liu, Miaohong Chen, Jiantao Wang, Zu-Liang Huang and Guoming Zhang and has published in prestigious journals such as The Journal of Immunology, IEEE Internet of Things Journal and British Journal of Ophthalmology.

In The Last Decade

Kun Qiao

10 papers receiving 395 citations

Hit Papers

Ocular manifestations of a hospitalised patient with conf... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers

Kun Qiao
Comparison fields: 5 of 67
  • Ophthalmology 220
  • Neurology 125
  • Infectious Diseases 96
  • Radiology, Nuclear Medicine and Imaging 49
  • Immunology 37
Replace Mrittika Sen with:
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Ahmad B. Tarabishy United States
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Samendra Karkhur India
Weibiao Zeng China
Reem H. ElSheikh United States
P. J. M. Bos Netherlands
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Mrittika Sen India View profile →
Citations per field, relative to Kun Qiao
Kun Qiao · 1×
Citations per year, relative to Kun Qiao
Kun Qiao · 1×

Countries citing papers authored by Kun Qiao

Since Specialization
Citations

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

Fields of papers citing papers by Kun Qiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Qiao

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Qiao. A scholar is included among the top collaborators of Kun Qiao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kun Qiao. Kun Qiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
# Work Indexed citations
1 0
2 0
3 3
4 7
5 6
6 0
7 1
8 26
9 25
10 37
11 11
12
Ocular manifestations of a hospitalised patient with confirmed 2019 novel coronavirus disease breakdown →
269
13 16

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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