Jun Wen
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
-
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Chronic Obstructive Pulmonary Disease (COPD) Research 7
- Respiratory and Cough-Related Research 4
- Physiology 17
- Asthma and respiratory diseases 13
- Co-authors
- Zhaogang Teng (7 shared papers)Mohan Giri (11 shared papers)Jiagui Huang (12 shared papers)Yunlei Zhang (5 shared papers)Guangming Lu (5 shared papers)Xuemei Li (8 shared papers)Xiaodan Su (4 shared papers)Ying Tian (3 shared papers)
- Journals
- Frontiers in Immunology (5 papers)Lipids in Health and Disease (5 papers)ACS Applied Materials & Interfaces (2 papers)Journal of Colloid and Interface Science (2 papers)Frontiers in Cellular Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesChile
In The Last Decade
Jun Wen
58 papers receiving 664 citations
Peers
Comparison fields: 5 of 105
- Biomaterials 105
- Neurology 43
- Geriatrics and Gerontology 19
- Cancer Research 72
- Pulmonary and Respiratory Medicine 139
Countries citing papers authored by Jun Wen
This map shows the geographic impact of Jun Wen'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 Jun Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wen more than expected).
Fields of papers citing papers by Jun Wen
This network shows the impact of papers produced by Jun Wen. 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 Jun Wen. The network helps show where Jun Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wen, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 47 | |
| 2 | 2018 | 38 | |
| 3 | 2022 | 37 | |
| 4 | 2018 | 35 | |
| 5 | 2022 | 35 | |
| 6 | 2019 | 33 | |
| 7 | 2021 | 30 | |
| 8 | 2017 | 30 | |
| 9 | 2021 | 29 | |
| 10 | 2021 | 27 | |
| 11 | 2020 | 23 | |
| 12 | 2023 | 21 | |
| 13 | 2021 | 21 | |
| 14 | 2023 | 21 | |
| 15 | 2021 | 19 | |
| 16 | 2016 | 18 | |
| 17 | 2023 | 15 | |
| 18 | 2024 | 15 | |
| 19 | 2023 | 10 | |
| 20 | 2023 | 10 |
About Jun Wen
Jun Wen is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Molecular Biology, Biomedical Engineering and Neurology, having authored 66 papers that have together received 669 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (13 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Nanoplatforms for cancer theranostics (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Hedgehog Signaling Pathway Studies (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Respiratory and Cough-Related Research (4 papers) and Nanoparticle-Based Drug Delivery (3 papers). The work is most often cited by research in Biomaterials (105 citations), Neurology (43 citations), Geriatrics and Gerontology (19 citations), Cancer Research (72 citations) and Pulmonary and Respiratory Medicine (139 citations). Jun Wen has collaborated with scholars based in China, United States and Chile. Frequent co-authors include Zhaogang Teng, Mohan Giri, Jiagui Huang, Yunlei Zhang, Guangming Lu, Xuemei Li, Xiaodan Su, Ying Tian, Junjie Zhang and Jian Xu. Their work appears in journals such as Frontiers in Immunology, Lipids in Health and Disease, ACS Applied Materials & Interfaces, Journal of Colloid and Interface Science and Frontiers in Cellular Neuroscience.
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.