Masaaki Tokuda
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 2%
- Oncology top 5%
- Surgery top 5%
- Co-authors
- Fuminori YamaguchiLi SuiYouyi DongKen IzumoriYasuo WatanabeOsamu HataseKatsuyoshi SugimotoToshifumi Itano
- Topics
- Diet, Metabolism, and Disease (53 papers)Liver Disease Diagnosis and Treatment (23 papers)Cancer-related Molecular Pathways (21 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Masaaki Tokuda
191 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 138
- Molecular Biology 2.7k
- Endocrinology, Diabetes and Metabolism 2.3k
- Physiology 968
- Oncology 726
- Surgery 609
Countries citing papers authored by Masaaki Tokuda
This map shows the geographic impact of Masaaki Tokuda'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 Masaaki Tokuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaaki Tokuda more than expected).
Fields of papers citing papers by Masaaki Tokuda
This network shows the impact of papers produced by Masaaki Tokuda. 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 Masaaki Tokuda. The network helps show where Masaaki Tokuda may publish in the future.
Co-authorship network of co-authors of Masaaki Tokuda
This figure shows the co-authorship network connecting the top 25 collaborators of Masaaki Tokuda. A scholar is included among the top collaborators of Masaaki Tokuda 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 Masaaki Tokuda. Masaaki Tokuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 19 | |
| 3 | 11 | |
| 4 | 14 | |
| 5 | 13 | |
| 6 | 8 | |
| 7 | 20 | |
| 8 | 21 | |
| 9 | HIGH RATE OF HEPATITIS B VIRUS MOTHER-TO-CHILD TRANSMISSION IN LAO PEOPLE'S DEMOCRATIC REPUBLIC. | 4 |
| 10 | 7 | |
| 11 | 42 | |
| 12 | 75 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 43 | |
| 16 | Theanine Provides Neuroprotective Effects of Retinal Ganglion Cells in a Rat Model of Chronic Glaucoma | 1 |
| 17 | 53 | |
| 18 | 30 | |
| 19 | 4 | |
| 20 | 4 |
About Masaaki Tokuda
Masaaki Tokuda is a scholar working on Endocrinology, Diabetes and Metabolism, Developmental Neuroscience and Biological Psychiatry, having authored 192 papers that have together received 6.4k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (53 papers), Liver Disease Diagnosis and Treatment (23 papers) and Cancer-related Molecular Pathways (21 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Molecular Biology (2.7k citations) and Developmental Neuroscience (156 citations). Masaaki Tokuda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Fuminori Yamaguchi, Li Sui, Youyi Dong, Ken Izumori, Yasuo Watanabe, Osamu Hatase, Katsuyoshi Sugimoto, Toshifumi Itano, Kazuyo Kamitori and Tom Granström. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications 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.