Xinran Ji
Impact in
- Orthopedics and Sports Medicine top 10%
-
- Spinal Cord Injury Research
Papers in
- Surgery 8
- Nerve Injury and Rehabilitation 2
- Shoulder Injury and Treatment 2
-
- Spinal Cord Injury Research 7
- Co-authors
- Peifu Tang (16 shared papers)Lihai Zhang (11 shared papers)Hua Chen (8 shared papers)Yongsheng Li (2 shared papers)Hongming Miao (2 shared papers)Yiling Zhang (5 shared papers)Qun Zhang (2 shared papers)Peng Ye (3 shared papers)
- Journals
- Journal of Orthopaedic Surgery and Research (6 papers)Spine (3 papers)Brain Research (2 papers)Med (1 paper)BioMed Research International (1 paper)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Xinran Ji
40 papers receiving 671 citations
Peers
Comparison fields: 5 of 107
- Orthopedics and Sports Medicine 71
- Pathology and Forensic Medicine 71
- Developmental Neuroscience 15
- Cancer Research 49
- Surgery 131
Countries citing papers authored by Xinran Ji
This map shows the geographic impact of Xinran Ji'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 Xinran Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinran Ji more than expected).
Fields of papers citing papers by Xinran Ji
This network shows the impact of papers produced by Xinran Ji. 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 Xinran Ji. The network helps show where Xinran Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinran Ji, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 55 | |
| 2 | 2015 | 52 | |
| 3 | 2020 | 51 | |
| 4 | 2019 | 50 | |
| 5 | 2023 | 48 | |
| 6 | Safety of denosumab in postmenopausal women with osteoporosis or low bone mineral density: a meta-analysis. | 2014 | 40 |
| 7 | 2016 | 36 | |
| 8 | 2015 | 31 | |
| 9 | 2012 | 30 | |
| 10 | 2015 | 26 | |
| 11 | 2019 | 23 | |
| 12 | 2021 | 21 | |
| 13 | 2020 | 20 | |
| 14 | 2015 | 18 | |
| 15 | 2016 | 18 | |
| 16 | 2015 | 17 | |
| 17 | 2015 | 16 | |
| 18 | 2022 | 15 | |
| 19 | 2018 | 13 | |
| 20 | 2015 | 13 |
About Xinran Ji
Xinran Ji is a scholar working on Surgery, Pathology and Forensic Medicine, Molecular Biology, Orthopedics and Sports Medicine and Aerospace Engineering, having authored 42 papers that have together received 683 indexed citations. Recurring topics across this work include Spinal Cord Injury Research (7 papers), Metamaterials and Metasurfaces Applications (3 papers), Advanced Antenna and Metasurface Technologies (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Nerve Injury and Rehabilitation (2 papers), Periodontal Regeneration and Treatments (2 papers), Shoulder Injury and Treatment (2 papers) and Tendon Structure and Treatment (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (71 citations), Pathology and Forensic Medicine (71 citations), Developmental Neuroscience (15 citations), Cancer Research (49 citations) and Surgery (131 citations). Xinran Ji has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Peifu Tang, Lihai Zhang, Hua Chen, Yongsheng Li, Hongming Miao, Yiling Zhang, Qun Zhang, Peng Ye, Ying Tong and Bing Chen. Their work appears in journals such as Journal of Orthopaedic Surgery and Research, Spine, Brain Research, Med and BioMed Research International.
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.