Xiaohong Wen
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Cellular and Molecular Neuroscience top 10%
- Cancer Research top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Clint L. MakinoQiuping GuoKemin WangHong-Liang LüAlexander M. DizhoorShufang ZhangYuanhui GaoHui Cao
- Topics
- Advanced biosensing and bioanalysis techniques (19 papers)RNA Interference and Gene Delivery (12 papers)Retinal Development and Disorders (10 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiaohong Wen
85 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.2k
- Biomedical Engineering 378
- Cellular and Molecular Neuroscience 224
- Cancer Research 212
- Pulmonary and Respiratory Medicine 193
Countries citing papers authored by Xiaohong Wen
This map shows the geographic impact of Xiaohong 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 Xiaohong Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohong Wen more than expected).
Fields of papers citing papers by Xiaohong Wen
This network shows the impact of papers produced by Xiaohong 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 Xiaohong Wen. The network helps show where Xiaohong Wen may publish in the future.
Co-authorship network of co-authors of Xiaohong Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Wen. A scholar is included among the top collaborators of Xiaohong Wen 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 Xiaohong Wen. Xiaohong Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 6 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 35 | |
| 9 | 25 | |
| 10 | 47 | |
| 11 | 51 | |
| 12 | 58 | |
| 13 | 14 | |
| 14 | 82 | |
| 15 | 19 | |
| 16 | 2 | |
| 17 | 41 | |
| 18 | 29 | |
| 19 | Associations of TERT polymorphisms with hepatocellular carcinoma risk in a Han Chinese population. | 4 |
| 20 | Clinical observation of Yinzhihuang Granules combined with human immunoglobulin in treatment of neonatal ABO hemolytic jaundice. | 1 |
About Xiaohong Wen
Xiaohong Wen is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience, having authored 87 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (19 papers), RNA Interference and Gene Delivery (12 papers) and Retinal Development and Disorders (10 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cancer Research (212 citations) and Cellular and Molecular Neuroscience (224 citations). Xiaohong Wen has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Clint L. Makino, Qiuping Guo, Kemin Wang, Hong-Liang Lü, Alexander M. Dizhoor, Shufang Zhang, Yuanhui Gao, Hui Cao, Zhenyu Nie and Lie Li. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.