Mu Su
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- RNA Research and Splicing 5
- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 4
- RNA regulation and disease 3
-
- Neural Networks and Applications 5
- Advanced Clustering Algorithms Research 3
- Co-authors
- Michael Brenner (5 shared papers)Albee Messing (4 shared papers)Youngjin Lee (3 shared papers)Eugene Lai (4 shared papers)H. Jonathan Chao (1 shared paper)Zehua Guo (1 shared paper)Yang Xu (1 shared paper)Zhemin Duan (1 shared paper)
- Journals
- Frontiers in Genetics (2 papers)Glia (2 papers)International Journal of Fuzzy Systems (2 papers)Epigenomics (2 papers)Cell Death and Disease (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Mu Su
45 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 106
- Developmental Neuroscience 109
- Neurology 128
- Cellular and Molecular Neuroscience 206
- Molecular Biology 473
- Computer Networks and Communications 136
Countries citing papers authored by Mu Su
This map shows the geographic impact of Mu Su'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 Mu Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mu Su more than expected).
Fields of papers citing papers by Mu Su
This network shows the impact of papers produced by Mu Su. 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 Mu Su. The network helps show where Mu Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Mu Su, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 289 | |
| 2 | 2014 | 132 | |
| 3 | 2006 | 105 | |
| 4 | 2004 | 102 | |
| 5 | 2006 | 58 | |
| 6 | 2006 | 44 | |
| 7 | Symmetry as a new measure for cluster validity | 2002 | 44 |
| 8 | 2021 | 31 | |
| 9 | 2015 | 29 | |
| 10 | 2002 | 29 | |
| 11 | 2020 | 25 | |
| 12 | A new cluster validity measure for clusters with different densities | 2003 | 20 |
| 13 | 2017 | 20 | |
| 14 | 2019 | 15 | |
| 15 | 2012 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 1999 | 9 | |
| 19 | 2021 | 9 | |
| 20 | 2019 | 9 |
About Mu Su
Mu Su is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), RNA Research and Splicing (5 papers), Neural Networks and Applications (5 papers), Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers), RNA regulation and disease (3 papers), Cancer-related molecular mechanisms research (3 papers) and Advanced Clustering Algorithms Research (3 papers). The work is most often cited by research in Developmental Neuroscience (109 citations), Neurology (128 citations), Cellular and Molecular Neuroscience (206 citations), Molecular Biology (473 citations) and Computer Networks and Communications (136 citations). Mu Su has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Michael Brenner, Albee Messing, Youngjin Lee, Eugene Lai, H. Jonathan Chao, Zehua Guo, Yang Xu, Zhemin Duan, Alessandra d’Azzo and Huimin Hu. Their work appears in journals such as Frontiers in Genetics, Glia, International Journal of Fuzzy Systems, Epigenomics and Cell Death and Disease.
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.