Jun Mao
Impact in
- Surfaces, Coatings and Films top 2%
- Polymer Surface Interaction Studies
- Molecular Medicine top 5%
- Hydrogels: synthesis, properties, applications
Papers in
-
- Advanced Polymer Synthesis and Characterization 7
- Surfactants and Colloidal Systems 4
-
- Polymer Surface Interaction Studies 11
- Co-authors
- Xiangling Ji (8 shared papers)Shuqin Bo (5 shared papers)Matthew Tirrell (7 shared papers)Zhixin Dong (5 shared papers)Dapeng Wang (5 shared papers)Shaojin Gu (2 shared papers)Weilin Xu (2 shared papers)Hongjun Yang (2 shared papers)
- Journals
- Langmuir (5 papers)Infection and Drug Resistance (2 papers)International Journal of Biological Macromolecules (2 papers)Polymer (2 papers)Macromolecular Chemistry and Physics (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Jun Mao
23 papers receiving 905 citations
Peers
Comparison fields: 5 of 99
- Surfaces, Coatings and Films 299
- Molecular Medicine 125
- Biomaterials 295
- Physical and Theoretical Chemistry 92
- Rehabilitation 66
Countries citing papers authored by Jun Mao
This map shows the geographic impact of Jun Mao'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 Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Mao more than expected).
Fields of papers citing papers by Jun Mao
This network shows the impact of papers produced by Jun Mao. 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 Mao. The network helps show where Jun Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Mao, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 145 | |
| 2 | 2017 | 106 | |
| 3 | 2016 | 92 | |
| 4 | 2012 | 69 | |
| 5 | 2011 | 64 | |
| 6 | 2019 | 60 | |
| 7 | 2012 | 54 | |
| 8 | 2011 | 53 | |
| 9 | 2018 | 42 | |
| 10 | 2016 | 37 | |
| 11 | 2015 | 33 | |
| 12 | 2013 | 31 | |
| 13 | 2018 | 29 | |
| 14 | 2011 | 22 | |
| 15 | 2021 | 15 | |
| 16 | 2012 | 15 | |
| 17 | 2019 | 12 | |
| 18 | 2016 | 11 | |
| 19 | 2017 | 10 | |
| 20 | 2021 | 9 |
About Jun Mao
Jun Mao is a scholar working on Organic Chemistry, Surfaces, Coatings and Films, Molecular Medicine, Biomaterials and Infectious Diseases, having authored 23 papers that have together received 918 indexed citations. Recurring topics across this work include Polymer Surface Interaction Studies (11 papers), Advanced Polymer Synthesis and Characterization (7 papers), Surfactants and Colloidal Systems (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Bacterial Identification and Susceptibility Testing (3 papers), Antibiotic Resistance in Bacteria (3 papers), Hydrogels: synthesis, properties, applications (3 papers) and Electrostatics and Colloid Interactions (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (299 citations), Molecular Medicine (125 citations), Biomaterials (295 citations), Physical and Theoretical Chemistry (92 citations) and Rehabilitation (66 citations). Jun Mao has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xiangling Ji, Shuqin Bo, Matthew Tirrell, Zhixin Dong, Dapeng Wang, Shaojin Gu, Weilin Xu, Hongjun Yang, Yingshan Zhou and Xin Liu. Their work appears in journals such as Langmuir, Infection and Drug Resistance, International Journal of Biological Macromolecules, Polymer and Macromolecular Chemistry and Physics.
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.