Kun Tian
Impact in
- Electrochemistry top 2%
- Electrochemical Analysis and Applications
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Machine Learning in Bioinformatics 8
- Genomics and Phylogenetic Studies 8
- Fractal and DNA sequence analysis 6
- Bone Metabolism and Diseases 6
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- Nanoplatforms for cancer theranostics 8
- Bone Tissue Engineering Materials 8
- Co-authors
- Ashutosh Tiwari (20 shared papers)M. C. Prestgard (1 shared paper)Xubo Zhao (14 shared papers)Xu Jia (13 shared papers)Karthikeyan Baskaran (4 shared papers)K.J. Saji (3 shared papers)Peng Liu (10 shared papers)Yinong Yin (4 shared papers)
- Journals
- Scientific Reports (5 papers)Molecular Pharmaceutics (3 papers)Journal of Applied Polymer Science (3 papers)Journal of Inflammation Research (3 papers)Vacuum (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kun Tian
153 papers receiving 3.6k citations
Kun Tian's Hit Papers
Peers
Comparison fields: 5 of 154
- Electrochemistry 314
- Biomaterials 414
- Bioengineering 174
- Polymers and Plastics 373
- Materials Chemistry 1.1k
Countries citing papers authored by Kun Tian
This map shows the geographic impact of Kun 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 Kun Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Tian more than expected).
Fields of papers citing papers by Kun Tian
This network shows the impact of papers produced by Kun 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 Kun Tian. The network helps show where Kun Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 163 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review of recent advances in nonenzymatic glucose sensors Hit paper breakdown → | 2014 | 483 |
| 2 | 2016 | 132 | |
| 3 | 2018 | 123 | |
| 4 | 2019 | 122 | |
| 5 | 2018 | 99 | |
| 6 | 2017 | 93 | |
| 7 | 2019 | 92 | |
| 8 | 2015 | 89 | |
| 9 | 2014 | 82 | |
| 10 | 2016 | 77 | |
| 11 | 2016 | 74 | |
| 12 | 2018 | 68 | |
| 13 | 2008 | 67 | |
| 14 | 2018 | 55 | |
| 15 | 2018 | 52 | |
| 16 | 2010 | 48 | |
| 17 | 2011 | 47 | |
| 18 | 2019 | 46 | |
| 19 | 2015 | 45 | |
| 20 | 2015 | 45 |
About Kun Tian
Kun Tian is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Biomaterials and Electrical and Electronic Engineering, having authored 163 papers that have together received 3.6k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (12 papers), Machine Learning in Bioinformatics (8 papers), Nanoplatforms for cancer theranostics (8 papers), Bone Tissue Engineering Materials (8 papers), Genomics and Phylogenetic Studies (8 papers), Bone and Dental Protein Studies (7 papers), Fractal and DNA sequence analysis (6 papers) and Bone Metabolism and Diseases (6 papers). The work is most often cited by research in Electrochemistry (314 citations), Biomaterials (414 citations), Bioengineering (174 citations), Polymers and Plastics (373 citations) and Materials Chemistry (1.1k citations). Kun Tian has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ashutosh Tiwari, M. C. Prestgard, Xubo Zhao, Xu Jia, Karthikeyan Baskaran, K.J. Saji, Peng Liu, Yinong Yin, Xingaoyuan Xiong and Jianlong Wang. Their work appears in journals such as Scientific Reports, Molecular Pharmaceutics, Journal of Applied Polymer Science, Journal of Inflammation Research and Vacuum.
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.