Shin‐ichiro Yoshimura
- Molecular Biology top 5%
- Cell Biology top 0.5%
- Epidemiology top 10%
- Cancer Research top 5%
- Physiology top 5%
- Co-authors
- Francis A. BarrAlexander K. HaasEvelyn FuchsAndreas GerondopoulosAndrea LinfordDaniel J. RigdenJohannes EgererNobuhiro Nakamura
- Topics
- Cellular transport and secretion (27 papers)Endoplasmic Reticulum Stress and Disease (8 papers)Retinal Development and Disorders (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- JapanUnited KingdomGermany
In The Last Decade
Shin‐ichiro Yoshimura
38 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 2.0k
- Cell Biology 1.7k
- Epidemiology 458
- Cancer Research 400
- Physiology 384
Countries citing papers authored by Shin‐ichiro Yoshimura
This map shows the geographic impact of Shin‐ichiro 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 Shin‐ichiro Yoshimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin‐ichiro Yoshimura more than expected).
Fields of papers citing papers by Shin‐ichiro Yoshimura
This network shows the impact of papers produced by Shin‐ichiro 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 Shin‐ichiro Yoshimura. The network helps show where Shin‐ichiro Yoshimura may publish in the future.
Co-authorship network of co-authors of Shin‐ichiro Yoshimura
This figure shows the co-authorship network connecting the top 25 collaborators of Shin‐ichiro Yoshimura. A scholar is included among the top collaborators of Shin‐ichiro Yoshimura 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 Shin‐ichiro Yoshimura. Shin‐ichiro Yoshimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 26 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 99 | |
| 8 | 28 | |
| 9 | 258 | |
| 10 | 148 | |
| 11 | 8 | |
| 12 | 38 | |
| 13 | 117 | |
| 14 | 293 | |
| 15 | 172 | |
| 16 | 63 | |
| 17 | 41 | |
| 18 | 74 | |
| 19 | 33 | |
| 20 | 5 |
About Shin‐ichiro Yoshimura
Shin‐ichiro Yoshimura is a scholar working on Cell Biology, Physiology and Developmental Neuroscience, having authored 38 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (27 papers), Endoplasmic Reticulum Stress and Disease (8 papers) and Retinal Development and Disorders (6 papers). The work is most often cited by research in Cell Biology (1.7k citations), Physiology (273 citations) and Molecular Biology (2.0k citations). Shin‐ichiro Yoshimura has collaborated with scholars based in Japan, United Kingdom and Germany. Frequent co-authors include Francis A. Barr, Alexander K. Haas, Evelyn Fuchs, Andreas Gerondopoulos, Andrea Linford, Daniel J. Rigden, Johannes Egerer, Nobuhiro Nakamura, Mikael Simons and Mads Grønborg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.