Kun Miao
Impact in
- Biophysics top 1%
- Spectroscopy Techniques in Biomedical and Chemical Research
- Advanced Fluorescence Microscopy Techniques
- Organic Chemistry top 5%
- Click Chemistry and Applications
Papers in
-
- Ubiquitin and proteasome pathways 4
- DNA and Nucleic Acid Chemistry 4
- Advanced biosensing and bioanalysis techniques 3
- Protein Degradation and Inhibitors 3
-
- Click Chemistry and Applications 6
- Co-authors
- Lu Wei (9 shared papers)Yu Liu (6 shared papers)Xin Zhang (6 shared papers)Matthew Fares (6 shared papers)Jiajun Du (4 shared papers)Lin Zhou (3 shared papers)Yan Wang (3 shared papers)Chenxi Qian (6 shared papers)
- Journals
- Journal of the American Chemical Society (3 papers)ACS Central Science (2 papers)Nature Communications (2 papers)Biochemistry (2 papers)Bioactive Materials (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kun Miao
45 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 109
- Biophysics 273
- Organic Chemistry 364
- Biochemistry 61
- Spectroscopy 174
- Molecular Biology 630
Countries citing papers authored by Kun Miao
This map shows the geographic impact of Kun Miao'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 Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Miao more than expected).
Fields of papers citing papers by Kun Miao
This network shows the impact of papers produced by Kun Miao. 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 Miao. The network helps show where Kun Miao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Miao, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 181 | |
| 2 | 2020 | 125 | |
| 3 | 2017 | 96 | |
| 4 | 2019 | 94 | |
| 5 | 2015 | 77 | |
| 6 | 2017 | 65 | |
| 7 | 2020 | 61 | |
| 8 | 2020 | 56 | |
| 9 | 2015 | 47 | |
| 10 | 2014 | 45 | |
| 11 | 2013 | 44 | |
| 12 | 2018 | 42 | |
| 13 | 2023 | 41 | |
| 14 | 2017 | 40 | |
| 15 | 2021 | 38 | |
| 16 | 2022 | 33 | |
| 17 | 2002 | 28 | |
| 18 | 2012 | 26 | |
| 19 | 2021 | 24 | |
| 20 | 2023 | 16 |
About Kun Miao
Kun Miao is a scholar working on Molecular Biology, Organic Chemistry, Biophysics, Plant Science and Pharmacology, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Spectroscopy Techniques in Biomedical and Chemical Research (7 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Click Chemistry and Applications (6 papers), Ubiquitin and proteasome pathways (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Plant and animal studies (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Biophysics (273 citations), Organic Chemistry (364 citations), Biochemistry (61 citations), Spectroscopy (174 citations) and Molecular Biology (630 citations). Kun Miao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lu Wei, Yu Liu, Xin Zhang, Matthew Fares, Jiajun Du, Lin Zhou, Yan Wang, Chenxi Qian, Noah P. Dunham and Hongbin Liu. Their work appears in journals such as Journal of the American Chemical Society, ACS Central Science, Nature Communications, Biochemistry and Bioactive Materials.
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.