Yoshitaka Shinto
- Biomedical Engineering top 10%
- Surgery top 10%
- Molecular Biology
- Oral Surgery top 2%
- Biomaterials top 10%
- Co-authors
- Atsushi UchidaKatsuhiko OnoN. ArakiFeza KorkusuzNobukazu ArakiHiroki YoshikawaToru NodaTakeshi Takahashi
- Topics
- Bone Tissue Engineering Materials (7 papers)Orthopaedic implants and arthroplasty (5 papers)Orthopedic Infections and Treatments (5 papers)
- Partner nations
- Japan
In The Last Decade
Yoshitaka Shinto
17 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Biomedical Engineering 467
- Surgery 453
- Molecular Biology 302
- Oral Surgery 191
- Biomaterials 136
Countries citing papers authored by Yoshitaka Shinto
This map shows the geographic impact of Yoshitaka Shinto'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 Yoshitaka Shinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshitaka Shinto more than expected).
Fields of papers citing papers by Yoshitaka Shinto
This network shows the impact of papers produced by Yoshitaka Shinto. 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 Yoshitaka Shinto. The network helps show where Yoshitaka Shinto may publish in the future.
Co-authorship network of co-authors of Yoshitaka Shinto
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshitaka Shinto. A scholar is included among the top collaborators of Yoshitaka Shinto 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 Yoshitaka Shinto. Yoshitaka Shinto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 7 | |
| 3 | 87 | |
| 4 | 42 | |
| 5 | 5 | |
| 6 | 165 | |
| 7 | Moloney murine leukemia virus infection accelerates lymphomagenesis in E mu-bcl-2 transgenic mice. | 21 |
| 8 | bcl-2 deficiency in mice leads to pleiotropic abnormalities: accelerated lymphoid cell death in thymus and spleen, polycystic kidney, hair hypopigmentation, and distorted small intestine. | 197 |
| 9 | 29 | |
| 10 | 90 | |
| 11 | Biomaterial centred chronic osteomyelitis (An experimental model at the cortical bones of rats) | 5 |
| 12 | 17 | |
| 13 | 122 | |
| 14 | 247 | |
| 15 | [Application of a slow release system of anti-cancer drug retained in calcium hydroxyapatite ceramic against experimental bone and soft tissue sarcoma]. | 2 |
| 16 | 188 | |
| 17 | [Development of a slow release system of anti-cancer drugs retained in calcium-hydroxyapatite ceramic]. | 3 |
About Yoshitaka Shinto
Yoshitaka Shinto is a scholar working on Oral Surgery, Rheumatology and Surgery, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (7 papers), Orthopaedic implants and arthroplasty (5 papers) and Orthopedic Infections and Treatments (5 papers). The work is most often cited by research in Oral Surgery (191 citations), Orthodontics (56 citations) and Biomedical Engineering (467 citations). Yoshitaka Shinto has collaborated with scholars based in Japan. Frequent co-authors include Atsushi Uchida, Katsuhiko Ono, N. Araki, Feza Korkusuz, Nobukazu Araki, Hiroki Yoshikawa, Toru Noda, Takeshi Takahashi, Y Kitamura and Shinji Kamada. Their work appears in journals such as Cancer, Hypertension and Journal of Orthopaedic Research®.
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.