Long Chen
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Biomaterials top 2%
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Surgery 74
- Tissue Engineering and Regenerative Medicine 10
- Total Knee Arthroplasty Outcomes 7
- Orthopaedic implants and arthroplasty 7
- Co-authors
- Zhou Xiang (12 shared papers)Fei Xing (10 shared papers)Heng Zhang (6 shared papers)Kun Peng (7 shared papers)Jun Huang (4 shared papers)Hu Li (5 shared papers)Hai‐Quan Mao (6 shared papers)Song Yang (5 shared papers)
- Journals
- Journal of Biomedical Nanotechnology (7 papers)Chinese Chemical Letters (6 papers)Medicine (5 papers)Scientific Reports (4 papers)BMC Musculoskeletal Disorders (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Long Chen
210 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 165
- Genetics 379
- Biomaterials 488
- Rehabilitation 178
- Surgery 1.1k
- Molecular Medicine 106
Countries citing papers authored by Long Chen
This map shows the geographic impact of Long Chen'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 Long Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Chen more than expected).
Fields of papers citing papers by Long Chen
This network shows the impact of papers produced by Long Chen. 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 Long Chen. The network helps show where Long Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Chen, 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 236 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 216 | |
| 2 | 2010 | 211 | |
| 3 | 2011 | 209 | |
| 4 | 2009 | 130 | |
| 5 | 2020 | 125 | |
| 6 | 2016 | 110 | |
| 7 | 2018 | 90 | |
| 8 | 2021 | 77 | |
| 9 | 2011 | 71 | |
| 10 | 2022 | 69 | |
| 11 | 2019 | 68 | |
| 12 | 2018 | 68 | |
| 13 | 2019 | 67 | |
| 14 | 2022 | 66 | |
| 15 | 2017 | 66 | |
| 16 | 2014 | 64 | |
| 17 | 2017 | 63 | |
| 18 | 2021 | 62 | |
| 19 | 2014 | 55 | |
| 20 | 2024 | 54 |
About Long Chen
Long Chen is a scholar working on Surgery, Molecular Biology, Biomedical Engineering, Genetics and Rheumatology, having authored 236 papers that have together received 4.5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (15 papers), Bone Tissue Engineering Materials (12 papers), Osteoarthritis Treatment and Mechanisms (10 papers), Electrospun Nanofibers in Biomedical Applications (10 papers), Tissue Engineering and Regenerative Medicine (10 papers), Total Knee Arthroplasty Outcomes (7 papers), Spine and Intervertebral Disc Pathology (7 papers) and Orthopaedic implants and arthroplasty (7 papers). The work is most often cited by research in Genetics (379 citations), Biomaterials (488 citations), Rehabilitation (178 citations), Surgery (1.1k citations) and Molecular Medicine (106 citations). Long Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhou Xiang, Fei Xing, Heng Zhang, Kun Peng, Jun Huang, Hu Li, Hai‐Quan Mao, Song Yang, Jun Wu and Xiaowei Li. Their work appears in journals such as Journal of Biomedical Nanotechnology, Chinese Chemical Letters, Medicine, Scientific Reports and BMC Musculoskeletal Disorders.
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.