Yuncui Gan
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
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- Lung Cancer Diagnosis and Treatment
Papers in
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- Lung Cancer Diagnosis and Treatment 5
- Lung Cancer Treatments and Mutations 2
- Blood properties and coagulation 1
- Oncology 3
- Inflammatory Biomarkers in Disease Prognosis 1
- Co-authors
- Weimin Li (5 shared papers)Bojiang Chen (4 shared papers)Lan Yang (5 shared papers)Rui Zhang (1 shared paper)Yi Zhang (3 shared papers)Xiuyuan Xu (3 shared papers)Jixiang Guo (3 shared papers)Chengdi Wang (3 shared papers)
- Journals
- PLoS ONE (2 papers)Computer Methods and Programs in Biomedicine (1 paper)Clinical Cancer Research (1 paper)Frontiers in Oncology (1 paper)Lung Cancer (1 paper)
- Partner nations
- China
In The Last Decade
Yuncui Gan
12 papers receiving 495 citations
Peers
Comparison fields: 5 of 69
- Radiology, Nuclear Medicine and Imaging 253
- Pulmonary and Respiratory Medicine 181
- Oncology 48
- Infectious Diseases 31
- Otorhinolaryngology 7
Countries citing papers authored by Yuncui Gan
This map shows the geographic impact of Yuncui 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 Yuncui Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuncui Gan more than expected).
Fields of papers citing papers by Yuncui Gan
This network shows the impact of papers produced by Yuncui 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 Yuncui Gan. The network helps show where Yuncui Gan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuncui Gan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 151 | |
| 2 | 2020 | 86 | |
| 3 | 2017 | 75 | |
| 4 | 2019 | 73 | |
| 5 | 2020 | 43 | |
| 6 | 2020 | 25 | |
| 7 | 2022 | 24 | |
| 8 | 2017 | 24 | |
| 9 | 2022 | 3 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2019 | 1 | |
| 13 | 2017 | 0 | |
| 14 | 2026 | 0 |
About Yuncui Gan
Yuncui Gan is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Molecular Biology, having authored 14 papers that have together received 507 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Lung Cancer Treatments and Mutations (2 papers), Vitamin C and Antioxidants Research (1 paper), Inflammatory Biomarkers in Disease Prognosis (1 paper), Blood properties and coagulation (1 paper), Digital Imaging for Blood Diseases (1 paper) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (253 citations), Pulmonary and Respiratory Medicine (181 citations), Oncology (48 citations), Infectious Diseases (31 citations) and Otorhinolaryngology (7 citations). Yuncui Gan has collaborated with scholars based in China. Frequent co-authors include Weimin Li, Bojiang Chen, Lan Yang, Rui Zhang, Yi Zhang, Xiuyuan Xu, Jixiang Guo, Chengdi Wang, Yongzhao Zhou and Jianyong Wang. Their work appears in journals such as PLoS ONE, Computer Methods and Programs in Biomedicine, Clinical Cancer Research, Frontiers in Oncology and Lung Cancer.
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.