Yasuhiro Furuichi
- Molecular Biology top 0.5%
- Plant Science top 1%
- Cancer Research top 1%
- Genetics top 1%
- Physiology top 1%
- Co-authors
- Aaron J. ShatkinAkira ShimamotoMakoto GotoSubbaratnam MuthukrishnanSaori KitaoKin‐ichiro MiuraMichael K. MorganMasanobu Sugimoto
- Topics
- DNA Repair Mechanisms (59 papers)RNA modifications and cancer (44 papers)RNA and protein synthesis mechanisms (35 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Yasuhiro Furuichi
255 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 9.0k
- Plant Science 1.7k
- Cancer Research 1.6k
- Genetics 1.5k
- Physiology 1.4k
Countries citing papers authored by Yasuhiro Furuichi
This map shows the geographic impact of Yasuhiro Furuichi'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 Yasuhiro Furuichi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuhiro Furuichi more than expected).
Fields of papers citing papers by Yasuhiro Furuichi
This network shows the impact of papers produced by Yasuhiro Furuichi. 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 Yasuhiro Furuichi. The network helps show where Yasuhiro Furuichi may publish in the future.
Co-authorship network of co-authors of Yasuhiro Furuichi
This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiro Furuichi. A scholar is included among the top collaborators of Yasuhiro Furuichi 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 Yasuhiro Furuichi. Yasuhiro Furuichi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 66 | |
| 5 | 11 | |
| 6 | 71 | |
| 7 | PREVALENCE OF WERNER SYNDROME GENE MUTATIONS IN THE JAPANESE POPULATION : A GENETIC EPIDEMIOLOGICAL STUDY | 5 |
| 8 | 56 | |
| 9 | 38 | |
| 10 | 113 | |
| 11 | 77 | |
| 12 | 10 | |
| 13 | 93 | |
| 14 | 79 | |
| 15 | 1 | |
| 16 | 24 | |
| 17 | 1 | |
| 18 | Cross-sectional Epidemiologic Study for Assessing Cancer Risks at the Population Level:I. Study Design and Participation Rate | 58 |
| 19 | 14 | |
| 20 | Dependence of translation on 5'-terminal methylation of mRNA. | 6 |
About Yasuhiro Furuichi
Yasuhiro Furuichi is a scholar working on Molecular Biology, Physiology and Genetics, having authored 256 papers that have together received 12.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (59 papers), RNA modifications and cancer (44 papers) and RNA and protein synthesis mechanisms (35 papers). The work is most often cited by research in Molecular Biology (9.0k citations), Cancer Research (1.6k citations) and Aging (182 citations). Yasuhiro Furuichi has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Aaron J. Shatkin, Akira Shimamoto, Makoto Goto, Subbaratnam Muthukrishnan, Saori Kitao, Kin‐ichiro Miura, Michael K. Morgan, Masanobu Sugimoto, Takehisa Matsumoto and Noralane M. Lindor. Their work appears in journals such as Nature, Cell and Proceedings of the National 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.