Tatsuya Osaki
- Biomedical Engineering top 2%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Biomaterials top 5%
- Surgery
- Co-authors
- Roger D. KammMarco CampisiValeria ChionoSebastien G. M. UzelVivek SivathanuYoojin ShinCynthia HajalSharon Wei Ling Lee
- Topics
- 3D Printing in Biomedical Research (22 papers)Tissue Engineering and Regenerative Medicine (10 papers)Electrospun Nanofibers in Biomedical Applications (10 papers)
- Partner nations
- JapanUnited StatesSingapore
In The Last Decade
Tatsuya Osaki
42 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Biomedical Engineering 1.3k
- Molecular Biology 1.0k
- Cellular and Molecular Neuroscience 435
- Biomaterials 344
- Surgery 280
Countries citing papers authored by Tatsuya Osaki
This map shows the geographic impact of Tatsuya Osaki'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 Tatsuya Osaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tatsuya Osaki more than expected).
Fields of papers citing papers by Tatsuya Osaki
This network shows the impact of papers produced by Tatsuya Osaki. 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 Tatsuya Osaki. The network helps show where Tatsuya Osaki may publish in the future.
Co-authorship network of co-authors of Tatsuya Osaki
This figure shows the co-authorship network connecting the top 25 collaborators of Tatsuya Osaki. A scholar is included among the top collaborators of Tatsuya Osaki 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 Tatsuya Osaki. Tatsuya Osaki 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 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | Complex activity and short-term plasticity of human cerebral organoids reciprocally connected with axonsbreakdown → | 47 |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 13 | |
| 9 | 9 | |
| 10 | 27 | |
| 11 | 82 | |
| 12 | 98 | |
| 13 | 50 | |
| 14 | 130 | |
| 15 | Microphysiological 3D model of amyotrophic lateral sclerosis (ALS) from human iPS-derived muscle cells and optogenetic motor neuronsbreakdown → | 308 |
| 16 | 55 | |
| 17 | 98 | |
| 18 | 7 | |
| 19 | 37 | |
| 20 | 3 |
About Tatsuya Osaki
Tatsuya Osaki is a scholar working on Biomaterials, Aging and Biomedical Engineering, having authored 43 papers that have together received 2.4k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (22 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Electrospun Nanofibers in Biomedical Applications (10 papers). The work is most often cited by research in Neurology (273 citations), Biomedical Engineering (1.3k citations) and Biomaterials (344 citations). Tatsuya Osaki has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Roger D. Kamm, Marco Campisi, Valeria Chiono, Sebastien G. M. Uzel, Vivek Sivathanu, Yoojin Shin, Cynthia Hajal, Sharon Wei Ling Lee, Giulia Adriani and Clara Mattu. Their work appears in journals such as Nature Communications, Molecular Cell and PLoS ONE.
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.