Jun Shimada
Impact in
- Structural Biology top 10%
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Diffusion and Search Dynamics
Papers in
-
- Protein Structure and Dynamics 8
-
- Enzyme Structure and Function 6
- Co-authors
- Eugene I. Shakhnovich (6 shared papers)Edo Kussell (5 shared papers)Eugene I. Shakhnovich (4 shared papers)Jason Gorman (1 shared paper)Jennifer A. Surtees (1 shared paper)David R. Reichman (1 shared paper)Eric Alani (1 shared paper)Arindam Chowdhury (1 shared paper)
- Journals
- Journal of Molecular Biology (3 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Cell (1 paper)Accounts of Chemical Research (1 paper)Advanced Drug Delivery Reviews (1 paper)
- Partner nations
- United StatesJapanSpain
In The Last Decade
Jun Shimada
17 papers receiving 890 citations
Peers
Comparison fields: 5 of 88
- Structural Biology 15
- Molecular Biology 668
- Spectroscopy 164
- Materials Chemistry 340
- Physical and Theoretical Chemistry 58
Countries citing papers authored by Jun Shimada
This map shows the geographic impact of Jun Shimada'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 Jun Shimada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Shimada more than expected).
Fields of papers citing papers by Jun Shimada
This network shows the impact of papers produced by Jun Shimada. 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 Jun Shimada. The network helps show where Jun Shimada may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Shimada, 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 | 2007 | 179 | |
| 2 | 2002 | 145 | |
| 3 | 2001 | 125 | |
| 4 | 2002 | 124 | |
| 5 | 2002 | 70 | |
| 6 | 2004 | 63 | |
| 7 | 1978 | 42 | |
| 8 | 2001 | 39 | |
| 9 | 2002 | 38 | |
| 10 | 2006 | 24 | |
| 11 | 2000 | 23 | |
| 12 | 2003 | 21 | |
| 13 | 2002 | 14 | |
| 14 | 2002 | 4 | |
| 15 | 2017 | 1 | |
| 16 | 2001 | 1 | |
| 17 | 2000 | 1 |
About Jun Shimada
Jun Shimada is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 17 papers that have together received 914 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (6 papers), Computational Drug Discovery Methods (4 papers), Advanced Chemical Physics Studies (3 papers), Molecular Spectroscopy and Structure (3 papers), Force Microscopy Techniques and Applications (2 papers), Atmospheric Ozone and Climate (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Structural Biology (15 citations), Molecular Biology (668 citations), Spectroscopy (164 citations), Materials Chemistry (340 citations) and Physical and Theoretical Chemistry (58 citations). Jun Shimada has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Eugene I. Shakhnovich, Edo Kussell, Eugene I. Shakhnovich, Jason Gorman, Jennifer A. Surtees, David R. Reichman, Eric Alani, Arindam Chowdhury, Eric C. Greene and Isaac A. Hubner. Their work appears in journals such as Journal of Molecular Biology, Proceedings of the National Academy of Sciences, Molecular Cell, Accounts of Chemical Research and Advanced Drug Delivery Reviews.
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.