Tetsuo Shibuya
- Co-authors
- Eain A. MurphyThomas ShenkIsidore RigoutsosS. TabataS. TamaiHajime OhgushiYoshiko DohiTakafumi Yoshikawa
- Topics
- Genomics and Phylogenetic Studies (15 papers)Algorithms and Data Compression (14 papers)RNA and protein synthesis mechanisms (9 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Tetsuo Shibuya
65 papers receiving 736 citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 268
- Epidemiology 148
- Biomedical Engineering 139
- Artificial Intelligence 111
- Genetics 86
Countries citing papers authored by Tetsuo Shibuya
This map shows the geographic impact of Tetsuo Shibuya'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 Tetsuo Shibuya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetsuo Shibuya more than expected).
Fields of papers citing papers by Tetsuo Shibuya
This network shows the impact of papers produced by Tetsuo Shibuya. 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 Tetsuo Shibuya. The network helps show where Tetsuo Shibuya may publish in the future.
Co-authorship network of co-authors of Tetsuo Shibuya
This figure shows the co-authorship network connecting the top 25 collaborators of Tetsuo Shibuya. A scholar is included among the top collaborators of Tetsuo Shibuya 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 Tetsuo Shibuya. Tetsuo Shibuya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | Transfer Learning for Biomedical Question Answering. | 2 |
| 5 | 12 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 29 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | A local move of links : dedicated to the memory of Professor Katsuo Kawakubo | 1 |
| 13 | Optimal on-line algorithms for an electronic commerce money distribution system | 4 |
| 14 | 2 | |
| 15 | 3 | |
| 16 | Arf Invariant of Z2-Homology Boundary Links | 1 |
| 17 | 7 | |
| 18 | Self#-Unknotting Operations of Links | 1 |
| 19 | 1 | |
| 20 | A Lower Bound of 4-Genus for Torus Knots | 2 |
About Tetsuo Shibuya
Tetsuo Shibuya is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Developmental Biology, having authored 71 papers that have together received 761 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Algorithms and Data Compression (14 papers) and RNA and protein synthesis mechanisms (9 papers). The work is most often cited by research in Parasitology (55 citations), Discrete Mathematics and Combinatorics (26 citations) and Oral Surgery (51 citations). Tetsuo Shibuya has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Eain A. Murphy, Thomas Shenk, Isidore Rigoutsos, S. Tabata, S. Tamai, Hajime Ohgushi, Yoshiko Dohi, Takafumi Yoshikawa, Kunihiko Sadakane and Akio Kawauchi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.
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.