Jun Gu
Impact in
- Rehabilitation top 5%
- Wound Healing and Treatments
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Surgery 17
- Surgical Sutures and Adhesives 5
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- Wound Healing and Treatments 10
- Co-authors
- Siwei Bi (26 shared papers)Ruiqi Liu (18 shared papers)Haibo Wang (12 shared papers)Changyuan He (9 shared papers)Bin Yan (9 shared papers)Chaoyi Qin (10 shared papers)Xueshan Zhao (8 shared papers)Chong Chen (4 shared papers)
- Journals
- Frontiers in Cardiovascular Medicine (3 papers)ACS Applied Materials & Interfaces (3 papers)Medicine (2 papers)Scientific Reports (2 papers)Journal of Materials Chemistry B (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Jun Gu
62 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 113
- Rehabilitation 127
- Biomaterials 178
- Molecular Medicine 57
- Biomedical Engineering 230
- Internal Medicine 15
Countries citing papers authored by Jun Gu
This map shows the geographic impact of Jun Gu'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 Jun Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Gu more than expected).
Fields of papers citing papers by Jun Gu
This network shows the impact of papers produced by Jun Gu. 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 Jun Gu. The network helps show where Jun Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Gu, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 98 | |
| 2 | 2024 | 75 | |
| 3 | 2024 | 48 | |
| 4 | 2020 | 47 | |
| 5 | 2018 | 46 | |
| 6 | 2023 | 45 | |
| 7 | 2017 | 44 | |
| 8 | 2024 | 38 | |
| 9 | 2020 | 37 | |
| 10 | 2020 | 36 | |
| 11 | 2024 | 34 | |
| 12 | 2017 | 32 | |
| 13 | 2021 | 31 | |
| 14 | 2022 | 28 | |
| 15 | 2015 | 26 | |
| 16 | 2015 | 26 | |
| 17 | 2015 | 25 | |
| 18 | 2022 | 23 | |
| 19 | 2011 | 21 | |
| 20 | 2023 | 18 |
About Jun Gu
Jun Gu is a scholar working on Surgery, Rehabilitation, Biomedical Engineering, Cardiology and Cardiovascular Medicine and Biomaterials, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Wound Healing and Treatments (10 papers), Surgical Sutures and Adhesives (5 papers), Electrospun Nanofibers in Biomedical Applications (5 papers), Nanoplatforms for cancer theranostics (5 papers), Conducting polymers and applications (4 papers), Cardiac tumors and thrombi (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (2 papers). The work is most often cited by research in Rehabilitation (127 citations), Biomaterials (178 citations), Molecular Medicine (57 citations), Biomedical Engineering (230 citations) and Internal Medicine (15 citations). Jun Gu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Siwei Bi, Ruiqi Liu, Haibo Wang, Changyuan He, Bin Yan, Chaoyi Qin, Xueshan Zhao, Chong Chen, Shuang Wang and Zhenghua Xiao. Their work appears in journals such as Frontiers in Cardiovascular Medicine, ACS Applied Materials & Interfaces, Medicine, Scientific Reports and Journal of Materials Chemistry B.
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.