Tingjun Ye
Impact in
- Rehabilitation top 2%
- Wound Healing and Treatments
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Bone Tissue Engineering Materials 13
- Surgery 13
- Orthopaedic implants and arthroplasty 7
- Shoulder Injury and Treatment 5
- Co-authors
- Wenguo Cui (17 shared papers)Lianfu Deng (12 shared papers)Gen Li (3 shared papers)Zhihong Liu (3 shared papers)Zhengwei Cai (2 shared papers)Jin Qi (1 shared paper)Yufei Yan (1 shared paper)Liang Cheng (1 shared paper)
- Journals
- Advanced Materials (2 papers)Advanced Functional Materials (2 papers)Research (2 papers)Injury (2 papers)Materials Science and Engineering C (2 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Tingjun Ye
43 papers receiving 1.2k citations
Tingjun Ye's Hit Papers
Peers
Comparison fields: 5 of 101
- Rehabilitation 161
- Biomaterials 341
- Molecular Medicine 121
- Orthopedics and Sports Medicine 99
- Biomedical Engineering 555
Countries citing papers authored by Tingjun Ye
This map shows the geographic impact of Tingjun Ye'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 Tingjun Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingjun Ye more than expected).
Fields of papers citing papers by Tingjun Ye
This network shows the impact of papers produced by Tingjun Ye. 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 Tingjun Ye. The network helps show where Tingjun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Tingjun Ye, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 248 | |
| 2 | Gradient bimetallic ion–based hydrogels for tissue microstructure reconstruction of tendon-to-bone insertion Hit paper breakdown → | 2021 | 163 |
| 3 | 2020 | 124 | |
| 4 | 2023 | 76 | |
| 5 | 2019 | 58 | |
| 6 | 2018 | 55 | |
| 7 | 2021 | 37 | |
| 8 | 2019 | 33 | |
| 9 | 2023 | 32 | |
| 10 | 2014 | 30 | |
| 11 | 2020 | 25 | |
| 12 | 2023 | 24 | |
| 13 | 2017 | 23 | |
| 14 | 2023 | 22 | |
| 15 | 2020 | 18 | |
| 16 | 2020 | 18 | |
| 17 | 2021 | 18 | |
| 18 | 2023 | 17 | |
| 19 | 2023 | 17 | |
| 20 | 2017 | 14 |
About Tingjun Ye
Tingjun Ye is a scholar working on Biomedical Engineering, Surgery, Biomaterials, Epidemiology and Molecular Biology, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (13 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Orthopaedic implants and arthroplasty (7 papers), Shoulder Injury and Treatment (5 papers), Shoulder and Clavicle Injuries (5 papers), Silk-based biomaterials and applications (3 papers), Tendon Structure and Treatment (3 papers) and Bone Metabolism and Diseases (3 papers). The work is most often cited by research in Rehabilitation (161 citations), Biomaterials (341 citations), Molecular Medicine (121 citations), Orthopedics and Sports Medicine (99 citations) and Biomedical Engineering (555 citations). Tingjun Ye has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Wenguo Cui, Lianfu Deng, Gen Li, Zhihong Liu, Zhengwei Cai, Jin Qi, Yufei Yan, Liang Cheng, Xiaohua Yu and Lei Wang. Their work appears in journals such as Advanced Materials, Advanced Functional Materials, Research, Injury and Materials Science and Engineering C.
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.