Wen Li
- Surgery top 10%
- Molecular Biology
- Biomaterials top 5%
- Materials Chemistry
- Biomedical Engineering top 10%
- Co-authors
- Meifeng ZhuZhuo YangHongjun WangXiaochen ZhangLianyong WangZhaojun ChengYanli BaiZhuyan Jiang
- Topics
- Pulmonary Hypertension Research and Treatments (10 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Electrospun Nanofibers in Biomedical Applications (6 papers)
- Cited by
- BiomaterialsRehabilitationHematology
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wen Li
133 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Surgery 426
- Molecular Biology 407
- Biomaterials 391
- Materials Chemistry 302
- Biomedical Engineering 283
Countries citing papers authored by Wen Li
This map shows the geographic impact of Wen Li'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 Wen Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Li more than expected).
Fields of papers citing papers by Wen Li
This network shows the impact of papers produced by Wen Li. 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 Wen Li. The network helps show where Wen Li may publish in the future.
Co-authorship network of co-authors of Wen Li
This figure shows the co-authorship network connecting the top 25 collaborators of Wen Li. A scholar is included among the top collaborators of Wen Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wen Li. Wen Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 30 | |
| 13 | 7 | |
| 14 | 1 | |
| 15 | 39 | |
| 16 | 16 | |
| 17 | Intervention study on recombinant activated factor VIIa in depressing early hematoma extensions of cerebral hemorrhage | 4 |
| 18 | Long-term Outcomes of Immediate Instillation Combined with Conventional Instillations of high-dose Hydroxycamptothecin for Prevention of Postoperative Recurrence of Non-invasive Bladder Cancer | 1 |
| 19 | 1 | |
| 20 | Design of Computer-aided Detection and Classification of Lung Nodules Using CT Images | 2 |
About Wen Li
Wen Li is a scholar working on Pulmonary and Respiratory Medicine, Otorhinolaryngology and Surgery, having authored 156 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Electrospun Nanofibers in Biomedical Applications (6 papers). The work is most often cited by research in Biomaterials (391 citations), Rehabilitation (145 citations) and Hematology (178 citations). Wen Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Meifeng Zhu, Zhuo Yang, Hongjun Wang, Xiaochen Zhang, Lianyong Wang, Zhaojun Cheng, Yanli Bai, Zhuyan Jiang, Deling Kong and Shilin Li. Their work appears in journals such as Nature Communications, PLoS ONE and Nature Cell Biology.
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.