Qingxin Gan

1.0k total citations · 1 hit paper
5 papers, 589 citations indexed

About

Qingxin Gan is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Qingxin Gan has authored 5 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Qingxin Gan's work include Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 Clinical Research Studies (2 papers) and Diagnosis and treatment of tuberculosis (2 papers). Qingxin Gan is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 Clinical Research Studies (2 papers) and Diagnosis and treatment of tuberculosis (2 papers). Qingxin Gan collaborates with scholars based in China. Qingxin Gan's co-authors include Songfeng Jiang, Bihua Chen, Wanhua Guan, Lieguang Zhang, Deyang Huang, Rui Jiang, Zhiping Zhang, Liangping Luo, Zhoukun Ling and Yan Ding and has published in prestigious journals such as European Journal of Nuclear Medicine and Molecular Imaging, International Journal of Medical Sciences and Zhonghua fangshexian yixue zazhi.

In The Last Decade

Qingxin Gan

5 papers receiving 573 citations

Hit Papers

Imaging and clinical features of patients with 2019 novel... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers

Qingxin Gan
Comparison fields: 5 of 77
  • Infectious Diseases 411
  • Neurology 214
  • Radiology, Nuclear Medicine and Imaging 211
  • Oncology 142
  • Critical Care and Intensive Care Medicine 67
Replace Deyang Huang with:
Deyang Huang China
Wanhua Guan China
Zhoukun Ling China
Jinxin Liu China
Songfeng Jiang China
Zhiping Zhang China
Ashan Pan China
Zhaowu Tao China
Xi Xu China
Yasuhide Uwabe Japan
Deyang Huang China View profile →
Citations per field, relative to Qingxin Gan
Qingxin Gan · 1×
Citations per year, relative to Qingxin Gan
Qingxin Gan · 1×

Countries citing papers authored by Qingxin Gan

Since Specialization
Citations

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

Fields of papers citing papers by Qingxin Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingxin Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Qingxin Gan. A scholar is included among the top collaborators of Qingxin Gan 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 Qingxin Gan. Qingxin Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
# Work Indexed citations
1 4
2 2
3 23
4
Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2 breakdown →
557
5 3

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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