Yinglong Miao
- Molecular Biology top 1%
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry top 10%
- Spectroscopy top 1%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- J. Andrew McCammonJinan WangVictoria A. FeherApurba BhattaraiRoss C. WalkerJérôme BaudryGiulia PalermoJeremy C. Smith
- Topics
- Protein Structure and Dynamics (54 papers)Receptor Mechanisms and Signaling (40 papers)Mass Spectrometry Techniques and Applications (24 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Yinglong Miao
114 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 4.1k
- Computational Theory and Mathematics 996
- Materials Chemistry 683
- Spectroscopy 650
- Cellular and Molecular Neuroscience 564
Countries citing papers authored by Yinglong Miao
This map shows the geographic impact of Yinglong 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 Yinglong Miao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinglong Miao more than expected).
Fields of papers citing papers by Yinglong Miao
This network shows the impact of papers produced by Yinglong 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 Yinglong Miao. The network helps show where Yinglong Miao may publish in the future.
Co-authorship network of co-authors of Yinglong Miao
This figure shows the co-authorship network connecting the top 25 collaborators of Yinglong Miao. A scholar is included among the top collaborators of Yinglong Miao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yinglong Miao. Yinglong Miao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 9 | |
| 4 | 25 | |
| 5 | 35 | |
| 6 | 28 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 10 | |
| 10 | 22 | |
| 11 | 6 | |
| 12 | Gaussian accelerated molecular dynamics: Principles and applicationsbreakdown → | 189 |
| 13 | 18 | |
| 14 | 128 | |
| 15 | 12 | |
| 16 | 15 | |
| 17 | 96 | |
| 18 | 89 | |
| 19 | 96 | |
| 20 | 187 |
About Yinglong Miao
Yinglong Miao is a scholar working on Spectroscopy, Molecular Biology and Computational Theory and Mathematics, having authored 117 papers that have together received 5.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (54 papers), Receptor Mechanisms and Signaling (40 papers) and Mass Spectrometry Techniques and Applications (24 papers). The work is most often cited by research in Computational Theory and Mathematics (996 citations), Molecular Biology (4.1k citations) and Spectroscopy (650 citations). Yinglong Miao has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include J. Andrew McCammon, Jinan Wang, Victoria A. Feher, Apurba Bhattarai, Ross C. Walker, Jérôme Baudry, Giulia Palermo, Jeremy C. Smith, William Sinko and P. Ortoleva. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.