Jing Wen
Impact in
- Neurology top 10%
- Vascular Malformations Diagnosis and Treatment
- Intracerebral and Subarachnoid Hemorrhage Research
- Intracranial Aneurysms: Treatment and Complications
Papers in
-
- Extracellular vesicles in disease 3
- RNA Interference and Gene Delivery 2
- Pluripotent Stem Cells Research 2
- Surgery 5
- Co-authors
- Jun Yan (2 shared papers)Manhou Xu (2 shared papers)Shaowen Xiao (1 shared paper)Hongli Xie (2 shared papers)Jing‐He Tan (2 shared papers)Jiaxin Cai (3 shared papers)Jie Zhang (2 shared papers)Weilin Xu (2 shared papers)
- Journals
- Journal of Controlled Release (2 papers)Frontiers in Oncology (2 papers)Journal of Cellular Physiology (2 papers)Plant Physiology and Biochemistry (1 paper)Diseases of the Esophagus (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jing Wen
39 papers receiving 585 citations
Peers
Comparison fields: 5 of 97
- Neurology 96
- Drug Discovery 1
- Parasitology 37
- Reproductive Medicine 37
- Complementary and alternative medicine 24
Countries citing papers authored by Jing Wen
This map shows the geographic impact of Jing 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 Jing Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Wen more than expected).
Fields of papers citing papers by Jing Wen
This network shows the impact of papers produced by Jing 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 Jing Wen. The network helps show where Jing Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 54 | |
| 2 | 2017 | 48 | |
| 3 | 2014 | 40 | |
| 4 | 2012 | 38 | |
| 5 | 2020 | 33 | |
| 6 | 2020 | 32 | |
| 7 | 2023 | 32 | |
| 8 | 2022 | 29 | |
| 9 | 2010 | 25 | |
| 10 | 2021 | 23 | |
| 11 | 2021 | 23 | |
| 12 | 2018 | 20 | |
| 13 | 2019 | 17 | |
| 14 | 2021 | 17 | |
| 15 | 2012 | 17 | |
| 16 | 2021 | 15 | |
| 17 | 2022 | 12 | |
| 18 | 2016 | 12 | |
| 19 | 2009 | 12 | |
| 20 | 2018 | 10 |
About Jing Wen
Jing Wen is a scholar working on Molecular Biology, Surgery, Pharmacology, Pulmonary and Respiratory Medicine and Neurology, having authored 44 papers that have together received 592 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (4 papers), Extracellular vesicles in disease (3 papers), RNA Interference and Gene Delivery (2 papers), Reproductive System and Pregnancy (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Natural Compounds in Disease Treatment (2 papers), Ecology and Vegetation Dynamics Studies (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Neurology (96 citations), Drug Discovery (1 citation), Parasitology (37 citations), Reproductive Medicine (37 citations) and Complementary and alternative medicine (24 citations). Jing Wen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jun Yan, Manhou Xu, Shaowen Xiao, Hongli Xie, Jing‐He Tan, Jiaxin Cai, Jie Zhang, Weilin Xu, Cameron Lenahan and Jun Yan. Their work appears in journals such as Journal of Controlled Release, Frontiers in Oncology, Journal of Cellular Physiology, Plant Physiology and Biochemistry and Diseases of the Esophagus.
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.