Shige H. Yoshimura
- Structural Biology top 1%
- Molecular Biology top 5%
- RNA Research and Splicing 29
- Genomics and Chromatin Dynamics 20
- Nuclear Structure and Function 19
- RNA and protein synthesis mechanisms 15
- DNA and Nucleic Acid Chemistry 9
- RNA modifications and cancer 8
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- Force Microscopy Techniques and Applications 23
- Cell Biology top 5%
- Cellular Mechanics and Interactions 10
- Biophysics top 5%
- Co-authors
- Kunio TakeyasuKohji HizumeTatsuya HiranoMasahiro KumetaYoshikazu NakayamaSeiji AkitaJin‐Der WenLaura Lancaster
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Shige H. Yoshimura
96 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 132
- Structural Biology 158
- Molecular Biology 2.1k
- Atomic and Molecular Physics, and Optics 703
- Cell Biology 325
- Biophysics 98
Countries citing papers authored by Shige H. Yoshimura
This map shows the geographic impact of Shige H. Yoshimura'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 Shige H. Yoshimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shige H. Yoshimura more than expected).
Fields of papers citing papers by Shige H. Yoshimura
This network shows the impact of papers produced by Shige H. Yoshimura. 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 Shige H. Yoshimura. The network helps show where Shige H. Yoshimura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shige H. Yoshimura, 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 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 16 | |
| 6 | 2020 | 3 | |
| 7 | 2019 | 15 | |
| 8 | 2017 | 7 | |
| 9 | 2016 | 109 | |
| 10 | 2014 | 28 | |
| 11 | 2012 | 3 | |
| 12 | 2012 | 19 | |
| 13 | 2011 | 9 | |
| 14 | 2011 | 99 | |
| 15 | 2008 | 36 | |
| 16 | 2007 | 96 | |
| 17 | 2007 | 2 | |
| 18 | 2006 | 94 | |
| 19 | P-type ATPase diversity and evolution: the origins of ouabain sensitivity and subunit assembly. | 2001 | 17 |
| 20 | 1995 | 105 |
About Shige H. Yoshimura
Shige H. Yoshimura is a scholar working on Structural Biology, Cell Biology and Molecular Biology, having authored 99 papers that have together received 3.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (29 papers), Force Microscopy Techniques and Applications (23 papers), Genomics and Chromatin Dynamics (20 papers), Nuclear Structure and Function (19 papers), RNA and protein synthesis mechanisms (15 papers), Cellular Mechanics and Interactions (10 papers), DNA and Nucleic Acid Chemistry (9 papers) and RNA modifications and cancer (8 papers). The work is most often cited by research in Structural Biology (158 citations), Molecular Biology (2.1k citations) and Atomic and Molecular Physics, and Optics (703 citations). Shige H. Yoshimura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Kunio Takeyasu, Kohji Hizume, Tatsuya Hirano, Masahiro Kumeta, Yoshikazu Nakayama, Seiji Akita, Jin‐Der Wen, Laura Lancaster, H. Courtney Hodges and Harry F. Noller. Their work appears in journals such as Journal of Cell Science, FEBS Letters, Genes to Cells, Journal of Biological Chemistry and Annals of the New York Academy of Sciences.
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.