Jun Xing
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Molecular Medicine top 5%
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 11
- Advanced Surface Polishing Techniques 4
-
- Planarian Biology and Electrostimulation 7
- Advanced biosensing and bioanalysis techniques 5
- Co-authors
- Stella Chungong (8 shared papers)Abbas Omaar (2 shared papers)Nirmal Kandel (5 shared papers)Peng Yu (16 shared papers)Chengyun Ning (15 shared papers)Zhengyang Xu (4 shared papers)Lei Zhou (7 shared papers)Zhengao Wang (14 shared papers)
- Journals
- Advanced Functional Materials (4 papers)PLoS ONE (4 papers)Molecules (3 papers)BMJ Global Health (2 papers)Carbohydrate Polymers (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jun Xing
77 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Modeling and Simulation 141
- Molecular Medicine 126
- Biomedical Engineering 816
- Biomaterials 228
- Rehabilitation 119
Countries citing papers authored by Jun Xing
This map shows the geographic impact of Jun Xing'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 Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Xing more than expected).
Fields of papers citing papers by Jun Xing
This network shows the impact of papers produced by Jun Xing. 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 Xing. The network helps show where Jun Xing may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Xing, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 368 | |
| 2 | Injectable Self‐Healing Natural Biopolymer‐Based Hydrogel Adhesive with Thermoresponsive Reversible Adhesion for Minimally Invasive Surgery Hit paper breakdown → | 2021 | 275 |
| 3 | 2019 | 214 | |
| 4 | 2010 | 163 | |
| 5 | 2015 | 122 | |
| 6 | 2020 | 92 | |
| 7 | 2011 | 83 | |
| 8 | 2018 | 77 | |
| 9 | 2020 | 70 | |
| 10 | 2019 | 60 | |
| 11 | 2022 | 46 | |
| 12 | 2020 | 45 | |
| 13 | 2015 | 40 | |
| 14 | 2021 | 37 | |
| 15 | 2020 | 34 | |
| 16 | 2021 | 33 | |
| 17 | 1998 | 32 | |
| 18 | 2017 | 30 | |
| 19 | 2018 | 29 | |
| 20 | 2023 | 28 |
About Jun Xing
Jun Xing is a scholar working on Biomedical Engineering, Molecular Biology, Mechanical Engineering, Electrical and Electronic Engineering and Infectious Diseases, having authored 82 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (11 papers), Planarian Biology and Electrostimulation (7 papers), Cancer-related molecular mechanisms research (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Conducting polymers and applications (4 papers), Advanced Surface Polishing Techniques (4 papers), Viral Infections and Outbreaks Research (4 papers) and Advanced Materials and Mechanics (4 papers). The work is most often cited by research in Modeling and Simulation (141 citations), Molecular Medicine (126 citations), Biomedical Engineering (816 citations), Biomaterials (228 citations) and Rehabilitation (119 citations). Jun Xing has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Stella Chungong, Abbas Omaar, Nirmal Kandel, Peng Yu, Chengyun Ning, Zhengyang Xu, Lei Zhou, Zhengao Wang, Di Zhu and Guoxin Tan. Their work appears in journals such as Advanced Functional Materials, PLoS ONE, Molecules, BMJ Global Health and Carbohydrate Polymers.
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.