Min‐Yi Shen
Impact in
- Molecular Biology top 0.5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Receptor Mechanisms and Signaling
- Ion channel regulation and function
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Mass Spectrometry Techniques and Applications 3
-
- Enzyme Structure and Function 13
- Co-authors
- Andrej SăliDavid EramianNarayanan EswarBen WebbMarc A. Martı́-RenomUrsula PieperM. S. MadhusudhanKarl F. Freed
- Journals
- Protein Science (3 papers)PLoS Computational Biology (2 papers)Journal of Molecular Biology (2 papers)The Journal of Chemical Physics (2 papers)Current Protocols in Bioinformatics (2 papers)
- Partner nations
- United StatesChileArgentina
In The Last Decade
Min‐Yi Shen
20 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 7.6k
- Computational Theory and Mathematics 900
- Virology 238
- Structural Biology 66
- Cellular and Molecular Neuroscience 845
Countries citing papers authored by Min‐Yi Shen
This map shows the geographic impact of Min‐Yi Shen'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 Min‐Yi Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min‐Yi Shen more than expected).
Fields of papers citing papers by Min‐Yi Shen
This network shows the impact of papers produced by Min‐Yi Shen. 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 Min‐Yi Shen. The network helps show where Min‐Yi Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Min‐Yi Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 121 | |
| 2 | Protein Structure Modeling with MODELLER Hit paper breakdown → | 2008 | 1510 |
| 3 | Comparative Protein Structure Modeling Using MODELLER Hit paper breakdown → | 2007 | 2514 |
| 4 | Statistical potential for assessment and prediction of protein structures Hit paper breakdown → | 2006 | 1851 |
| 5 | 2006 | 32 | |
| 6 | 2006 | 136 | |
| 7 | 2006 | 35 | |
| 8 | Comparative Protein Structure Modeling Using Modeller Hit paper breakdown → | 2006 | 3803 |
| 9 | 2005 | 11 | |
| 10 | 2005 | 47 | |
| 11 | 2005 | 1 | |
| 12 | 2003 | 13 | |
| 13 | 2003 | 46 | |
| 14 | 2003 | 110 | |
| 15 | 2003 | 9 | |
| 16 | 2003 | 6 | |
| 17 | 2003 | 25 | |
| 18 | 2003 | 9 | |
| 19 | 2002 | 88 | |
| 20 | 1977 | 3 |
About Min‐Yi Shen
Min‐Yi Shen is a scholar working on Spectroscopy, Materials Chemistry, Molecular Biology, Fluid Flow and Transfer Processes and Physical and Theoretical Chemistry, having authored 20 papers that have together received 10.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Enzyme Structure and Function (13 papers), Glycosylation and Glycoproteins Research (4 papers), RNA and protein synthesis mechanisms (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Chemical Synthesis and Analysis (2 papers), Machine Learning in Bioinformatics (2 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). The work is most often cited by research in Molecular Biology (7.6k citations), Computational Theory and Mathematics (900 citations), Virology (238 citations), Structural Biology (66 citations) and Cellular and Molecular Neuroscience (845 citations). Min‐Yi Shen has collaborated with scholars based in United States, Chile and Argentina. Frequent co-authors include Andrej Săli, David Eramian, Narayanan Eswar, Ben Webb, Marc A. Martı́-Renom, Ursula Pieper, M. S. Madhusudhan, Karl F. Freed, R. Stephen Berry and Tobin R. Sosnick. Their work appears in journals such as Protein Science, PLoS Computational Biology, Journal of Molecular Biology, The Journal of Chemical Physics and Current Protocols in Bioinformatics.
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.