Dexiang Ban
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Pathology and Forensic Medicine top 10%
- Spinal Cord Injury Research
- Spine and Intervertebral Disc Pathology
Papers in
-
- Nerve injury and regeneration 7
-
- Spinal Cord Injury Research 4
- Co-authors
- Shiqing Feng (11 shared papers)Guangzhi Ning (5 shared papers)Jiatong Chen (4 shared papers)Xiaohong Kong (5 shared papers)Xianhu Zhou (2 shared papers)Yang Liu (2 shared papers)Pei Wang (1 shared paper)Tao Liu (1 shared paper)
- Journals
- Journal of drug targeting (2 papers)Applied Biochemistry and Biotechnology (1 paper)Journal of Pain Research (1 paper)Brain Research (1 paper)Cell Transplantation (1 paper)
- Partner nations
- China
In The Last Decade
Dexiang Ban
18 papers receiving 362 citations
Peers
Comparison fields: 5 of 56
- Developmental Neuroscience 51
- Pathology and Forensic Medicine 168
- Cellular and Molecular Neuroscience 155
- Genetics 63
- Surgery 88
Countries citing papers authored by Dexiang Ban
This map shows the geographic impact of Dexiang Ban'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 Dexiang Ban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dexiang Ban more than expected).
Fields of papers citing papers by Dexiang Ban
This network shows the impact of papers produced by Dexiang Ban. 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 Dexiang Ban. The network helps show where Dexiang Ban may publish in the future.
Co-authors
The 25 scholars most cited alongside Dexiang Ban, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 77 | |
| 2 | 2011 | 52 | |
| 3 | 2016 | 41 | |
| 4 | 2008 | 36 | |
| 5 | 2018 | 26 | |
| 6 | 2009 | 24 | |
| 7 | 2016 | 21 | |
| 8 | 2009 | 16 | |
| 9 | 2022 | 16 | |
| 10 | 2016 | 12 | |
| 11 | 2024 | 11 | |
| 12 | 2017 | 10 | |
| 13 | 2023 | 10 | |
| 14 | 2016 | 9 | |
| 15 | 2022 | 5 | |
| 16 | 2015 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 |
About Dexiang Ban
Dexiang Ban is a scholar working on Cellular and Molecular Neuroscience, Pathology and Forensic Medicine, Surgery, Molecular Biology and Biomedical Engineering, having authored 18 papers that have together received 369 indexed citations. Recurring topics across this work include Nerve injury and regeneration (7 papers), Spinal Cord Injury Research (4 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Photodynamic Therapy Research Studies (2 papers), Nanoparticles: synthesis and applications (2 papers), RNA Interference and Gene Delivery (2 papers), Mesenchymal stem cell research (2 papers) and Cervical and Thoracic Myelopathy (2 papers). The work is most often cited by research in Developmental Neuroscience (51 citations), Pathology and Forensic Medicine (168 citations), Cellular and Molecular Neuroscience (155 citations), Genetics (63 citations) and Surgery (88 citations). Dexiang Ban has collaborated with scholars based in China. Frequent co-authors include Shiqing Feng, Guangzhi Ning, Jiatong Chen, Xiaohong Kong, Xianhu Zhou, Yang Liu, Pei Wang, Tao Liu, Hui Li and Shiqing Feng. Their work appears in journals such as Journal of drug targeting, Applied Biochemistry and Biotechnology, Journal of Pain Research, Brain Research and Cell Transplantation.
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.