Qin Bian
Impact in
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
- Pharmacology top 5%
- Musculoskeletal pain and rehabilitation
- Inflammatory mediators and NSAID effects
- Medicinal Plant Pharmacodynamics Research
Papers in
-
- Spine and Intervertebral Disc Pathology 14
-
- MicroRNA in disease regulation 5
- Co-authors
- Jingcheng DongJanet L. CraneXu CaoMei WanYongjun WangPatrick CahanYong-Jun WangGehua Zhen
- Journals
- Spine (5 papers)Journal of Visualized Experiments (4 papers)Frontiers in Bioscience-Elite (2 papers)Menopause The Journal of The North American Menopause Society (2 papers)World Journal of Stem Cells (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qin Bian
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Rheumatology 317
- Pharmacology 298
- Pathology and Forensic Medicine 311
- Pharmacology 103
- Orthopedics and Sports Medicine 99
Countries citing papers authored by Qin Bian
This map shows the geographic impact of Qin Bian'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 Qin Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Bian more than expected).
Fields of papers citing papers by Qin Bian
This network shows the impact of papers produced by Qin Bian. 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 Qin Bian. The network helps show where Qin Bian may publish in the future.
Co-authors
The 25 scholars most cited alongside Qin Bian, 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 | 2024 | 4 | |
| 2 | 2022 | 9 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 87 | |
| 5 | 2020 | 24 | |
| 6 | 2017 | 98 | |
| 7 | 2016 | 7 | |
| 8 | 2016 | 65 | |
| 9 | 2016 | 30 | |
| 10 | 2013 | 8 | |
| 11 | 2012 | 51 | |
| 12 | 2011 | 57 | |
| 13 | 2011 | 11 | |
| 14 | 2011 | 17 | |
| 15 | 2010 | 21 | |
| 16 | 2010 | 10 | |
| 17 | 2010 | 2 | |
| 18 | 2006 | 65 | |
| 19 | 2005 | 1 | |
| 20 | Neural Network Model of TCM Syndromes Based on MFBP Learning Algorithm | 2001 | 5 |
About Qin Bian
Qin Bian is a scholar working on Pathology and Forensic Medicine, Cancer Research, Developmental Neuroscience, Pharmacology and Molecular Biology, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (15 papers), Spine and Intervertebral Disc Pathology (14 papers), TGF-β signaling in diseases (6 papers), Cervical and Thoracic Myelopathy (5 papers), MicroRNA in disease regulation (5 papers), Musculoskeletal pain and rehabilitation (5 papers), Osteoarthritis Treatment and Mechanisms (4 papers) and Medicinal Plant Pharmacodynamics Research (4 papers). The work is most often cited by research in Rheumatology (317 citations), Pharmacology (298 citations), Pathology and Forensic Medicine (311 citations), Pharmacology (103 citations) and Orthopedics and Sports Medicine (99 citations). Qin Bian has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jingcheng Dong, Janet L. Crane, Xu Cao, Mei Wan, Yongjun Wang, Patrick Cahan, Yong-Jun Wang, Gehua Zhen, Qi Shi and Liang Xie. Their work appears in journals such as Spine, Journal of Visualized Experiments, Frontiers in Bioscience-Elite, Menopause The Journal of The North American Menopause Society and World Journal of Stem Cells.
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.