Shigeru Yanagi
- Molecular Biology top 5%
- Immunology top 2%
- Cell Biology top 2%
- Epidemiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Co-authors
- Hirohei YamamuraRyoko InatomeToshifumi FukudaKiyonao SadaTomoko TakanoTomohiro KurosakiShun NagashimaRyo Yonashiro
- Topics
- Reliability and Maintenance Optimization (25 papers)Mitochondrial Function and Pathology (24 papers)Software Reliability and Analysis Research (15 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Shigeru Yanagi
125 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 2.4k
- Immunology 1.1k
- Cell Biology 562
- Epidemiology 505
- Cellular and Molecular Neuroscience 473
Countries citing papers authored by Shigeru Yanagi
This map shows the geographic impact of Shigeru Yanagi'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 Shigeru Yanagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeru Yanagi more than expected).
Fields of papers citing papers by Shigeru Yanagi
This network shows the impact of papers produced by Shigeru Yanagi. 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 Shigeru Yanagi. The network helps show where Shigeru Yanagi may publish in the future.
Co-authorship network of co-authors of Shigeru Yanagi
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeru Yanagi. A scholar is included among the top collaborators of Shigeru Yanagi 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 Shigeru Yanagi. Shigeru Yanagi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 22 | |
| 4 | 93 | |
| 5 | 4 | |
| 6 | 25 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | Role of MITOL in mitochondrial dynamics and diseases | 2 |
| 10 | 64 | |
| 11 | On the estimation of common-cause failure rates | 1 |
| 12 | 94 | |
| 13 | 44 | |
| 14 | Reliability of a 2-Dimensional Consecutive k-out-of-n : F System with a Restriction in the Number of Failed Components | 3 |
| 15 | 40 | |
| 16 | 45 | |
| 17 | 64 | |
| 18 | Reliability and Availability of a Repairable Lattice System | 1 |
| 19 | 56 | |
| 20 | Availability of a Parallel Redundant System with Preventive Maintenance and Common-Cause Failures | 2 |
About Shigeru Yanagi
Shigeru Yanagi is a scholar working on Software, Safety, Risk, Reliability and Quality and Immunology and Allergy, having authored 134 papers that have together received 4.4k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (25 papers), Mitochondrial Function and Pathology (24 papers) and Software Reliability and Analysis Research (15 papers). The work is most often cited by research in Immunology and Allergy (393 citations), Immunology (1.1k citations) and Hematology (440 citations). Shigeru Yanagi has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Hirohei Yamamura, Ryoko Inatome, Toshifumi Fukuda, Kiyonao Sada, Tomoko Takano, Tomohiro Kurosaki, Shun Nagashima, Ryo Yonashiro, Hisao Yamamura and Jeffrey V. Ravetch. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.