Wenjun Pan
Impact in
-
- Traditional Chinese Medicine Analysis
-
- Electric and Hybrid Vehicle Technologies
- Vehicle emissions and performance
Papers in
- Surgery 14
- Cervical and Thoracic Myelopathy 3
-
- Signaling Pathways in Disease 2
- Co-authors
- Yonggang Liu (2 shared papers)Jie Li (2 shared papers)Huanlin Wu (1 shared paper)Xiaoling Chen (1 shared paper)Wei Liu (1 shared paper)Tao-Hua Lan (1 shared paper)Huiliang Qiu (1 shared paper)Yitao Wu (1 shared paper)
- Journals
- EFORT Open Reviews (4 papers)Frontiers in Medicine (2 papers)Brazilian Journal of Medical and Biological Research (1 paper)International Journal of Surgery (1 paper)Medical Physics (1 paper)
- Partner nations
- ChinaUnited StatesSlovenia
In The Last Decade
Wenjun Pan
39 papers receiving 454 citations
Peers
Comparison fields: 5 of 104
- Complementary and alternative medicine 37
- Automotive Engineering 53
- Pharmacology 32
- Cardiology and Cardiovascular Medicine 82
- Molecular Biology 162
Countries citing papers authored by Wenjun Pan
This map shows the geographic impact of Wenjun 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 Wenjun Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjun Pan more than expected).
Fields of papers citing papers by Wenjun Pan
This network shows the impact of papers produced by Wenjun 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 Wenjun Pan. The network helps show where Wenjun Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenjun 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 78 | |
| 2 | 2017 | 54 | |
| 3 | 2023 | 38 | |
| 4 | 2017 | 32 | |
| 5 | 2023 | 26 | |
| 6 | 2019 | 26 | |
| 7 | 2019 | 23 | |
| 8 | 2019 | 23 | |
| 9 | 2020 | 15 | |
| 10 | 2017 | 12 | |
| 11 | 2022 | 10 | |
| 12 | 2003 | 10 | |
| 13 | 2021 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2014 | 7 | |
| 18 | 2014 | 7 | |
| 19 | 2015 | 6 | |
| 20 | 2020 | 6 |
About Wenjun Pan
Wenjun Pan is a scholar working on Surgery, Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 46 papers that have together received 459 indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (5 papers), Cardiac Fibrosis and Remodeling (4 papers), Colorectal Cancer Surgical Treatments (3 papers), Cervical and Thoracic Myelopathy (3 papers), Cardiovascular Function and Risk Factors (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Signaling Pathways in Disease (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Complementary and alternative medicine (37 citations), Automotive Engineering (53 citations), Pharmacology (32 citations), Cardiology and Cardiovascular Medicine (82 citations) and Molecular Biology (162 citations). Wenjun Pan has collaborated with scholars based in China, United States and Slovenia. Frequent co-authors include Yonggang Liu, Jie Li, Huanlin Wu, Xiaoling Chen, Wei Liu, Tao-Hua Lan, Huiliang Qiu, Yitao Wu, Weiwei Su and Xiaohe Tian. Their work appears in journals such as EFORT Open Reviews, Frontiers in Medicine, Brazilian Journal of Medical and Biological Research, International Journal of Surgery and Medical Physics.
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.