Kun Jiang
Impact in
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- Hydrogels: synthesis, properties, applications
- Pharmaceutical Science top 10%
Papers in
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- 3D Printing in Biomedical Research 7
- Innovative Microfluidic and Catalytic Techniques Innovation 3
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- Glycosylation and Glycoproteins Research 4
- Co-authors
- Thomas Crouzier (5 shared papers)Oliver Lieleg (4 shared papers)Matthias Marczynski (3 shared papers)Francisco Vilaplana (2 shared papers)Zhongliang Jiang (6 shared papers)John Oakey (5 shared papers)Vaibhav Srivastava (1 shared paper)Bizan N. Balzer (1 shared paper)
- Journals
- Polymer Chemistry (2 papers)Advanced Functional Materials (2 papers)Biomedical Materials (1 paper)Biomacromolecules (1 paper)BioMetals (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Kun Jiang
17 papers receiving 386 citations
Peers
Comparison fields: 5 of 77
- Molecular Medicine 29
- Pharmaceutical Science 31
- Biomaterials 58
- Surfaces, Coatings and Films 29
- Biomedical Engineering 113
Countries citing papers authored by Kun Jiang
This map shows the geographic impact of Kun Jiang'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 Kun Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Jiang more than expected).
Fields of papers citing papers by Kun Jiang
This network shows the impact of papers produced by Kun Jiang. 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 Kun Jiang. The network helps show where Kun Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Jiang, 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 | 65 | |
| 2 | 2011 | 59 | |
| 3 | 2019 | 46 | |
| 4 | 2021 | 33 | |
| 5 | 2016 | 33 | |
| 6 | 2020 | 21 | |
| 7 | 2021 | 21 | |
| 8 | 2022 | 19 | |
| 9 | 2016 | 17 | |
| 10 | 2017 | 15 | |
| 11 | 2019 | 13 | |
| 12 | 2018 | 12 | |
| 13 | 2022 | 9 | |
| 14 | 2014 | 8 | |
| 15 | 2012 | 7 | |
| 16 | 2024 | 6 | |
| 17 | 2023 | 3 |
About Kun Jiang
Kun Jiang is a scholar working on Biomedical Engineering, Molecular Biology, Molecular Medicine, Organic Chemistry and Surgery, having authored 17 papers that have together received 387 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (7 papers), Glycosylation and Glycoproteins Research (4 papers), Hydrogels: synthesis, properties, applications (3 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Polysaccharides and Plant Cell Walls (2 papers), Advanced Polymer Synthesis and Characterization (2 papers), Pickering emulsions and particle stabilization (2 papers) and Advanced Drug Delivery Systems (2 papers). The work is most often cited by research in Molecular Medicine (29 citations), Pharmaceutical Science (31 citations), Biomaterials (58 citations), Surfaces, Coatings and Films (29 citations) and Biomedical Engineering (113 citations). Kun Jiang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Thomas Crouzier, Oliver Lieleg, Matthias Marczynski, Francisco Vilaplana, Zhongliang Jiang, John Oakey, Vaibhav Srivastava, Bizan N. Balzer, Theresa Lutz and Wantai Yang. Their work appears in journals such as Polymer Chemistry, Advanced Functional Materials, Biomedical Materials, Biomacromolecules and BioMetals.
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.