Feng Pan
Impact in
- Infectious Diseases top 0.5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- Ultrasound in Clinical Applications
Papers in
-
- COVID-19 diagnosis using AI 10
- MRI in cancer diagnosis 7
- Radiomics and Machine Learning in Medical Imaging 6
-
- Inhalation and Respiratory Drug Delivery 6
- Co-authors
- Lian Yang (15 shared papers)Bo Liang (8 shared papers)Chuansheng Zheng (11 shared papers)Lingli Li (10 shared papers)Tianhe Ye (7 shared papers)Jiazheng Wang (6 shared papers)Dandan Zheng (2 shared papers)Richard L. Hesketh (3 shared papers)
- Journals
- Scientific Reports (3 papers)PLoS ONE (2 papers)Radiology (2 papers)Advanced Functional Materials (2 papers)Frontiers in Pharmacology (2 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Feng Pan
84 papers receiving 4.0k citations
Feng Pan's Hit Papers
Peers
Comparison fields: 5 of 159
- Infectious Diseases 1.8k
- Critical Care and Intensive Care Medicine 434
- Neurology 1.0k
- Radiology, Nuclear Medicine and Imaging 1.4k
- Health Informatics 71
Countries citing papers authored by Feng Pan
This map shows the geographic impact of Feng 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 Feng Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Pan more than expected).
Fields of papers citing papers by Feng Pan
This network shows the impact of papers produced by Feng 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 Feng Pan. The network helps show where Feng Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19) Hit paper breakdown → | 2020 | 1928 |
| 2 | 2020 | 344 | |
| 3 | Long-term bone and lung consequences associated with hospital-acquired severe acute respiratory syndrome: a 15-year follow-up from a prospective cohort study Hit paper breakdown → | 2020 | 307 |
| 4 | 2020 | 154 | |
| 5 | 2009 | 148 | |
| 6 | 2020 | 94 | |
| 7 | 2023 | 77 | |
| 8 | 2021 | 72 | |
| 9 | 2020 | 56 | |
| 10 | 2015 | 51 | |
| 11 | 2019 | 46 | |
| 12 | 2021 | 42 | |
| 13 | 2012 | 40 | |
| 14 | 2022 | 39 | |
| 15 | 2012 | 35 | |
| 16 | 2020 | 33 | |
| 17 | 2021 | 33 | |
| 18 | 2023 | 32 | |
| 19 | 2020 | 29 | |
| 20 | 2023 | 29 |
About Feng Pan
Feng Pan is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Infectious Diseases and Molecular Biology, having authored 90 papers that have together received 4.1k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (13 papers), COVID-19 diagnosis using AI (10 papers), Long-Term Effects of COVID-19 (8 papers), MRI in cancer diagnosis (7 papers), Lymphatic Disorders and Treatments (7 papers), Inhalation and Respiratory Drug Delivery (6 papers), Vascular Malformations and Hemangiomas (6 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), Critical Care and Intensive Care Medicine (434 citations), Neurology (1.0k citations), Radiology, Nuclear Medicine and Imaging (1.4k citations) and Health Informatics (71 citations). Feng Pan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Lian Yang, Bo Liang, Chuansheng Zheng, Lingli Li, Tianhe Ye, Jiazheng Wang, Dandan Zheng, Richard L. Hesketh, Peng Sun and Ping Zhu. Their work appears in journals such as Scientific Reports, PLoS ONE, Radiology, Advanced Functional Materials and Frontiers in Pharmacology.
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.