Lianglong Chen
Impact in
-
- Wound Healing and Treatments
Papers in
-
- Signaling Pathways in Disease 2
- Ubiquitin and proteasome pathways 1
- Surgery 4
- Coronary Interventions and Diagnostics 2
- Co-authors
- Yukun Luo (1 shared paper)Kai Zeng (1 shared paper)Xudong Sun (1 shared paper)Shumei Li (1 shared paper)Jun Fang (2 shared papers)Shengxian Tu (3 shared papers)Ziad A. Ali (1 shared paper)Takashi Kubo (1 shared paper)
- Journals
- Basic Research in Cardiology (2 papers)EuroIntervention (2 papers)International Journal of Biological Macromolecules (1 paper)Journal of Nanobiotechnology (1 paper)Progress in Materials Science (1 paper)
- Partner nations
- China
In The Last Decade
Lianglong Chen
15 papers receiving 280 citations
Peers
Comparison fields: 5 of 60
- Rehabilitation 28
- Health Informatics 5
- Cardiology and Cardiovascular Medicine 65
- Radiology, Nuclear Medicine and Imaging 56
- Surgery 90
Countries citing papers authored by Lianglong Chen
This map shows the geographic impact of Lianglong 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 Lianglong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lianglong Chen more than expected).
Fields of papers citing papers by Lianglong Chen
This network shows the impact of papers produced by Lianglong 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 Lianglong Chen. The network helps show where Lianglong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lianglong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 88 | |
| 2 | 2009 | 59 | |
| 3 | 2016 | 23 | |
| 4 | 2025 | 21 | |
| 5 | 2019 | 21 | |
| 6 | 2025 | 13 | |
| 7 | 2019 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 8 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 2025 | 0 |
About Lianglong Chen
Lianglong Chen is a scholar working on Molecular Biology, Surgery, Rehabilitation, Biomaterials and Pathology and Forensic Medicine, having authored 16 papers that have together received 286 indexed citations. Recurring topics across this work include Wound Healing and Treatments (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Coronary Interventions and Diagnostics (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Artificial Intelligence in Healthcare (2 papers), Signaling Pathways in Disease (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Rehabilitation (28 citations), Health Informatics (5 citations), Cardiology and Cardiovascular Medicine (65 citations), Radiology, Nuclear Medicine and Imaging (56 citations) and Surgery (90 citations). Lianglong Chen has collaborated with scholars based in China. Frequent co-authors include Yukun Luo, Kai Zeng, Xudong Sun, Shumei Li, Jun Fang, Shengxian Tu, Ziad A. Ali, Takashi Kubo, Miao Chu and Bo Yu. Their work appears in journals such as Basic Research in Cardiology, EuroIntervention, International Journal of Biological Macromolecules, Journal of Nanobiotechnology and Progress in Materials Science.
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.