Toshimasa Shinki
- Pathology and Forensic Medicine top 0.5%
- Molecular Biology top 10%
- Genetics top 5%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Tatsuo SudaToshio SudaY UenoHector F. DeLucaNaoyuki TakahashiN. TakahashiYoshihiko OhyamaShu Wakino
- Topics
- Vitamin D Research Studies (42 papers)Bone Metabolism and Diseases (10 papers)Polyamine Metabolism and Applications (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryGastroenterology
- Partner nations
- JapanUnited StatesBelgium
In The Last Decade
Toshimasa Shinki
67 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 114
- Pathology and Forensic Medicine 1.6k
- Molecular Biology 1.3k
- Genetics 554
- Oncology 549
- Endocrinology, Diabetes and Metabolism 543
Countries citing papers authored by Toshimasa Shinki
This map shows the geographic impact of Toshimasa Shinki'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 Toshimasa Shinki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshimasa Shinki more than expected).
Fields of papers citing papers by Toshimasa Shinki
This network shows the impact of papers produced by Toshimasa Shinki. 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 Toshimasa Shinki. The network helps show where Toshimasa Shinki may publish in the future.
Co-authorship network of co-authors of Toshimasa Shinki
This figure shows the co-authorship network connecting the top 25 collaborators of Toshimasa Shinki. A scholar is included among the top collaborators of Toshimasa Shinki 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 Toshimasa Shinki. Toshimasa Shinki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Reveromycin A inhibits bone resorption in vitro and in vivo by inducing apoptosis specifically in osteoclasts | 1 |
| 3 | 63 | |
| 4 | 172 | |
| 5 | 47 | |
| 6 | [The regulation of vitamin D metabolism and PTH secretion by phosphorus]. | 1 |
| 7 | 22 | |
| 8 | 51 | |
| 9 | 107 | |
| 10 | 116 | |
| 11 | 10 | |
| 12 | 78 | |
| 13 | 9 | |
| 14 | 5 | |
| 15 | 14 | |
| 16 | 9 | |
| 17 | 40 | |
| 18 | 8 | |
| 19 | 9 | |
| 20 | 55 |
About Toshimasa Shinki
Toshimasa Shinki is a scholar working on Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 67 papers that have together received 3.1k indexed citations. Recurring topics across this work include Vitamin D Research Studies (42 papers), Bone Metabolism and Diseases (10 papers) and Polyamine Metabolism and Applications (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.6k citations), Orthopedics and Sports Medicine (410 citations) and Nephrology (331 citations). Toshimasa Shinki has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Tatsuo Suda, Toshio Suda, Y Ueno, Hector F. DeLuca, Naoyuki Takahashi, N. Takahashi, Yoshihiko Ohyama, Shu Wakino, Hideharu Anazawa and Katsuyuki Fujii. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Gastroenterology.
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.