Bin Pi
Impact in
- Pathology and Forensic Medicine top 10%
- Spine and Intervertebral Disc Pathology
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- Spinal Fractures and Fixation Techniques
- Cervical and Thoracic Myelopathy
- Scoliosis diagnosis and treatment
- Pelvic and Acetabular Injuries
Papers in ⓘ
- Surgery 15
- Spinal Fractures and Fixation Techniques 8
- Cervical and Thoracic Myelopathy 4
- Scoliosis diagnosis and treatment 3
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- Spine and Intervertebral Disc Pathology 11
- Co-authors
- Huilin Yang (12 shared papers)Hao Liu (6 shared papers)Yijian Zhang (8 shared papers)Angela Carley Chen (7 shared papers)Fan He (7 shared papers)Yi‐Jian Zhang (4 shared papers)Huilin Yang (4 shared papers)Xuesong Zhu (6 shared papers)
In The Last Decade
Bin Pi
28 papers receiving 370 citations
Peers
Comparison fields: 5 of 77
- Pathology and Forensic Medicine 161
- Surgery 192
- Biomaterials 44
- Biochemistry 17
- Endocrine and Autonomic Systems 18
Countries citing papers authored by Bin Pi
This map shows the geographic impact of Bin Pi'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 Bin Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Pi more than expected).
Fields of papers citing papers by Bin Pi
This network shows the impact of papers produced by Bin Pi. 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 Bin Pi. The network helps show where Bin Pi may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Pi, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 40 | |
| 2 | 2015 | 31 | |
| 3 | 2018 | 30 | |
| 4 | 2019 | 28 | |
| 5 | 2020 | 27 | |
| 6 | 2016 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 17 | |
| 9 | 2015 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2018 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2014 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2015 | 10 | |
| 17 | 2019 | 10 | |
| 18 | 2017 | 9 | |
| 19 | 2019 | 9 | |
| 20 | 2019 | 7 |
About Bin Pi
Bin Pi is a scholar working on Surgery, Pathology and Forensic Medicine, Biomedical Engineering, Biomaterials and Molecular Biology, having authored 28 papers that have together received 376 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (11 papers), Spinal Fractures and Fixation Techniques (8 papers), Bone Tissue Engineering Materials (7 papers), Cervical and Thoracic Myelopathy (4 papers), Silk-based biomaterials and applications (4 papers), Musculoskeletal pain and rehabilitation (3 papers), Scoliosis diagnosis and treatment (3 papers) and Periodontal Regeneration and Treatments (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (161 citations), Surgery (192 citations), Biomaterials (44 citations), Biochemistry (17 citations) and Endocrine and Autonomic Systems (18 citations). Bin Pi has collaborated with scholars based in China, Canada and Taiwan. Frequent co-authors include Huilin Yang, Hao Liu, Yijian Zhang, Angela Carley Chen, Fan He, Yi‐Jian Zhang, Huilin Yang, Xuesong Zhu, Hao Liu and Hao Liu. Their work appears in journals such as International Orthopaedics, International Journal of Surgery, World Neurosurgery, Medicine and RSC Advances.
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.