Feng Pan
Impact in
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction
- Oncology top 10%
- Cancer Cells and Metastasis
- COVID-19 and healthcare impacts
- Drug Transport and Resistance Mechanisms
Papers in
- Oncology 15
- Cancer Cells and Metastasis 2
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- Lung Cancer Diagnosis and Treatment 4
- Co-authors
- Houjie Liang (4 shared papers)Jeffrey T. Koberstein (2 shared papers)Jianfang Chen (2 shared papers)Heng Jiang (2 shared papers)Chengliang Xiong (1 shared paper)Xingyuan Xiao (1 shared paper)Chunlin Wu (1 shared paper)Wei Lu (1 shared paper)
- Journals
- Langmuir (2 papers)Scientific Reports (1 paper)Journal of Cellular Biochemistry (1 paper)Annals of Palliative Medicine (1 paper)Journal of Multidisciplinary Healthcare (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Feng Pan
33 papers receiving 760 citations
Peers
Comparison fields: 5 of 130
- Obstetrics and Gynecology 151
- Oncology 235
- Reproductive Medicine 68
- Modeling and Simulation 27
- Immunology and Allergy 32
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 206 | |
| 2 | 2011 | 88 | |
| 3 | 2004 | 59 | |
| 4 | 2012 | 48 | |
| 5 | 2005 | 41 | |
| 6 | 2009 | 39 | |
| 7 | 2019 | 37 | |
| 8 | 2011 | 31 | |
| 9 | 2022 | 30 | |
| 10 | 2017 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 2007 | 26 | |
| 13 | 2017 | 18 | |
| 14 | 2024 | 17 | |
| 15 | 2013 | 16 | |
| 16 | 2021 | 8 | |
| 17 | 2021 | 7 | |
| 18 | 2022 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2018 | 5 |
About Feng Pan
Feng Pan is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Biomedical Engineering, Surgery and Molecular Biology, having authored 37 papers that have together received 779 indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Lung Cancer Diagnosis and Treatment (4 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Nanofabrication and Lithography Techniques (3 papers), Cancer Research and Treatments (2 papers), Advanced Algorithms and Applications (2 papers), Cancer Cells and Metastasis (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Obstetrics and Gynecology (151 citations), Oncology (235 citations), Reproductive Medicine (68 citations), Modeling and Simulation (27 citations) and Immunology and Allergy (32 citations). Feng Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Houjie Liang, Jeffrey T. Koberstein, Jianfang Chen, Heng Jiang, Chengliang Xiong, Xingyuan Xiao, Chunlin Wu, Wei Lu, Kai Zhao and Jie Zhang. Their work appears in journals such as Langmuir, Scientific Reports, Journal of Cellular Biochemistry, Annals of Palliative Medicine and Journal of Multidisciplinary Healthcare.
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.