Ye Tian
Impact in
- Biomaterials top 1%
- Supramolecular Self-Assembly in Materials
- Electrospun Nanofibers in Biomedical Applications
- Water Science and Technology top 2%
- Adsorption and biosorption for pollutant removal
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 7
- Nanoplatforms for cancer theranostics 6
- Co-authors
- Zhongwei Niu (40 shared papers)Yong Huang (7 shared papers)Min Wu (5 shared papers)Man Wu (21 shared papers)Ruigang Liu (4 shared papers)Xiaobo Lin (2 shared papers)Meng Zhu (15 shared papers)Deqian Wang (3 shared papers)
- Journals
- ACS Applied Materials & Interfaces (6 papers)Advanced Healthcare Materials (5 papers)Nano Letters (4 papers)Chemical Communications (4 papers)Langmuir (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ye Tian
87 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 137
- Biomaterials 907
- Water Science and Technology 437
- Surfaces, Coatings and Films 149
- Molecular Medicine 100
- Biomedical Engineering 836
Countries citing papers authored by Ye Tian
This map shows the geographic impact of Ye Tian'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 Ye Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Tian more than expected).
Fields of papers citing papers by Ye Tian
This network shows the impact of papers produced by Ye Tian. 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 Ye Tian. The network helps show where Ye Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Tian, 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 247 | |
| 2 | 2014 | 225 | |
| 3 | 2011 | 172 | |
| 4 | 2010 | 141 | |
| 5 | 2019 | 109 | |
| 6 | 2016 | 109 | |
| 7 | 2016 | 97 | |
| 8 | 2020 | 90 | |
| 9 | 2009 | 74 | |
| 10 | 2014 | 67 | |
| 11 | 2017 | 64 | |
| 12 | 2018 | 61 | |
| 13 | 2014 | 58 | |
| 14 | 2014 | 57 | |
| 15 | 2015 | 52 | |
| 16 | 2010 | 50 | |
| 17 | 2006 | 50 | |
| 18 | 2018 | 46 | |
| 19 | 2020 | 46 | |
| 20 | 2015 | 45 |
About Ye Tian
Ye Tian is a scholar working on Biomedical Engineering, Materials Chemistry, Biomaterials, Molecular Biology and Organic Chemistry, having authored 92 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (13 papers), Plant Virus Research Studies (9 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), Antimicrobial Peptides and Activities (7 papers), Supramolecular Self-Assembly in Materials (7 papers), Advanced Polymer Synthesis and Characterization (6 papers) and Nanoplatforms for cancer theranostics (6 papers). The work is most often cited by research in Biomaterials (907 citations), Water Science and Technology (437 citations), Surfaces, Coatings and Films (149 citations), Molecular Medicine (100 citations) and Biomedical Engineering (836 citations). Ye Tian has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhongwei Niu, Yong Huang, Min Wu, Man Wu, Ruigang Liu, Xiaobo Lin, Meng Zhu, Deqian Wang, Joel H. Collier and Sijia Gao. Their work appears in journals such as ACS Applied Materials & Interfaces, Advanced Healthcare Materials, Nano Letters, Chemical Communications and Langmuir.
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.