Ashan Pan
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Antifungal resistance and susceptibility
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- COVID-19 Clinical Research Studies 2
-
- COVID-19 diagnosis using AI 1
- Advanced MRI Techniques and Applications 1
- Co-authors
- Zenghui Cheng (3 shared papers)Jianyi Dai (3 shared papers)Le Qin (3 shared papers)Qiqi Cao (3 shared papers)Fuhua Yan (2 shared papers)Wenjie Yang (3 shared papers)Qingfeng Sun (2 shared papers)Xiaoyang Wang (2 shared papers)
- Journals
- Annals of Translational Medicine (1 paper)Journal of Infection (1 paper)Pakistan Journal of Medical Sciences (1 paper)PubMed (3 papers)
- Partner nations
- China
In The Last Decade
Ashan Pan
5 papers receiving 715 citations
Ashan Pan's Hit Papers
Peers
Comparison fields: 5 of 83
- Infectious Diseases 459
- Neurology 162
- Modeling and Simulation 37
- Critical Care and Intensive Care Medicine 31
- Radiology, Nuclear Medicine and Imaging 133
Countries citing papers authored by Ashan Pan
This map shows the geographic impact of Ashan Pan'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 Ashan Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashan Pan more than expected).
Fields of papers citing papers by Ashan Pan
This network shows the impact of papers produced by Ashan Pan. 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 Ashan Pan. The network helps show where Ashan Pan may publish in the future.
Co-authors
The 14 scholars most cited alongside Ashan Pan, 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 | Clinical characteristics and imaging manifestations of the 2019 novel coronavirus disease (COVID-19):A multi-center study in Wenzhou city, Zhejiang, China Hit paper breakdown → | 2020 | 689 |
| 2 | 2020 | 31 | |
| 3 | 2020 | 4 | |
| 4 | 2020 | 2 | |
| 5 | 2022 | 2 | |
| 6 | 2025 | 0 |
About Ashan Pan
Ashan Pan is a scholar working on Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Neurology, Rheumatology and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 728 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Neurological Disease Mechanisms and Treatments (1 paper), Brain Tumor Detection and Classification (1 paper), COVID-19 diagnosis using AI (1 paper), Advanced MRI Techniques and Applications (1 paper) and Oropharyngeal Anatomy and Pathologies (1 paper). The work is most often cited by research in Infectious Diseases (459 citations), Neurology (162 citations), Modeling and Simulation (37 citations), Critical Care and Intensive Care Medicine (31 citations) and Radiology, Nuclear Medicine and Imaging (133 citations). Ashan Pan has collaborated with scholars based in China. Frequent co-authors include Zenghui Cheng, Jianyi Dai, Le Qin, Qiqi Cao, Fuhua Yan, Wenjie Yang, Qingfeng Sun, Xiaoyang Wang, Jieming Qu and Yaozong Gao. Their work appears in journals such as Annals of Translational Medicine, Journal of Infection, Pakistan Journal of Medical Sciences and PubMed.
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.