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
- Protein Degradation and Inhibitors 3
- Plant Gene Expression Analysis 3
- Plant biochemistry and biosynthesis 3
-
- Click Chemistry and Applications 6
- Co-authors
- Lu Wei (8 shared papers)Matthew Fares (6 shared papers)Xin Zhang (6 shared papers)Yu Liu (6 shared papers)Lin Zhou (3 shared papers)Yan Wang (3 shared papers)Jiajun Du (4 shared papers)Chenxi Qian (5 shared papers)
- Journals
- Journal of the American Chemical Society (3 papers)ACS Central Science (2 papers)Nature Communications (2 papers)Biochemistry (2 papers)Analytical and Bioanalytical Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Kun Miao
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Biophysics 258
- Organic Chemistry 364
- Biochemistry 62
- Spectroscopy 171
- Molecular Biology 617
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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 173 | |
| 2 | 2020 | 118 | |
| 3 | 2019 | 92 | |
| 4 | 2017 | 92 | |
| 5 | 2015 | 77 | |
| 6 | 2017 | 63 | |
| 7 | 2020 | 58 | |
| 8 | 2020 | 53 | |
| 9 | 2015 | 46 | |
| 10 | 2014 | 43 | |
| 11 | 2013 | 43 | |
| 12 | 2018 | 42 | |
| 13 | 2017 | 39 | |
| 14 | 2021 | 34 | |
| 15 | 2023 | 32 | |
| 16 | 2022 | 30 | |
| 17 | 2002 | 28 | |
| 18 | 2012 | 26 | |
| 19 | 2021 | 23 | |
| 20 | 2023 | 15 |
About Kun Miao
Kun Miao is a scholar working on Molecular Biology, Organic Chemistry, Biophysics, Plant Science and Pharmacology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Click Chemistry and Applications (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (6 papers), Advanced Fluorescence Microscopy Techniques (6 papers), Ubiquitin and proteasome pathways (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Protein Degradation and Inhibitors (3 papers), Plant Gene Expression Analysis (3 papers) and Plant biochemistry and biosynthesis (3 papers). The work is most often cited by research in Biophysics (258 citations), Organic Chemistry (364 citations), Biochemistry (62 citations), Spectroscopy (171 citations) and Molecular Biology (617 citations). Kun Miao has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Lu Wei, Matthew Fares, Xin Zhang, Yu Liu, Lin Zhou, Yan Wang, Jiajun Du, Chenxi Qian, Amie K. Boal and Noah P. Dunham. Their work appears in journals such as Journal of the American Chemical Society, ACS Central Science, Nature Communications, Biochemistry and Analytical and Bioanalytical Chemistry.
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.