Tomoyuki Kanamatsu
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Physiology
- Radiology, Nuclear Medicine and Imaging top 10%
- Social Psychology top 10%
- Co-authors
- Jau‐Shyong HongJF McGintyYasuzo TsukadaJ.F. ObieGraeme F. MasonRobin A. de GraafDouglas L. RothmanLaura M. Grimes
- Topics
- Neuroscience and Neuropharmacology Research (14 papers)Neuropeptides and Animal Physiology (13 papers)Advanced MRI Techniques and Applications (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceAnalytical Biochemistry
- Partner nations
- JapanUnited StatesPoland
In The Last Decade
Tomoyuki Kanamatsu
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Cellular and Molecular Neuroscience 714
- Molecular Biology 474
- Physiology 177
- Radiology, Nuclear Medicine and Imaging 159
- Social Psychology 98
Countries citing papers authored by Tomoyuki Kanamatsu
This map shows the geographic impact of Tomoyuki Kanamatsu'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 Tomoyuki Kanamatsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoyuki Kanamatsu more than expected).
Fields of papers citing papers by Tomoyuki Kanamatsu
This network shows the impact of papers produced by Tomoyuki Kanamatsu. 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 Tomoyuki Kanamatsu. The network helps show where Tomoyuki Kanamatsu may publish in the future.
Co-authorship network of co-authors of Tomoyuki Kanamatsu
This figure shows the co-authorship network connecting the top 25 collaborators of Tomoyuki Kanamatsu. A scholar is included among the top collaborators of Tomoyuki Kanamatsu 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 Tomoyuki Kanamatsu. Tomoyuki Kanamatsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 3 | |
| 3 | 酵素結合免疫吸着検定法(ELISA)のためのマイクロ流体デバイスおよびビスフェノールA検出への応用 | 8 |
| 4 | 38 | |
| 5 | 5 | |
| 6 | 17 | |
| 7 | 18 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 9 | |
| 11 | 27 | |
| 12 | 25 | |
| 13 | 44 | |
| 14 | 18 | |
| 15 | 5 | |
| 16 | 7 | |
| 17 | 8 | |
| 18 | 14 | |
| 19 | 112 | |
| 20 | Post natal changes of several enzyme activities in developmental brain tissue of maternal hyper phenyl alaninemic rat | 1 |
About Tomoyuki Kanamatsu
Tomoyuki Kanamatsu is a scholar working on Developmental Biology, Cellular and Molecular Neuroscience and Clinical Biochemistry, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Neuropeptides and Animal Physiology (13 papers) and Advanced MRI Techniques and Applications (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (714 citations), Developmental Biology (71 citations) and Developmental Neuroscience (86 citations). Tomoyuki Kanamatsu has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Jau‐Shyong Hong, JF McGinty, Yasuzo Tsukada, J.F. Obie, Graeme F. Mason, Robin A. de Graaf, Douglas L. Rothman, Laura M. Grimes, Jacqueline F. McGinty and Emanuel J. Diliberto. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Analytical Biochemistry.
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.