Toshiyuki Chikuma
- Co-authors
- Takeshi KatoHiroshi HojoMd. Mahiuddin AhmedMohammad Ali ArifMitsune YamaguchiYukihiro TsuchiyaTadafumi KatoKyoji Taguchi
- Topics
- Neuropeptides and Animal Physiology (24 papers)Peptidase Inhibition and Analysis (12 papers)Receptor Mechanisms and Signaling (10 papers)
- Partner nations
- JapanUnited StatesBangladesh
In The Last Decade
Toshiyuki Chikuma
74 papers receiving 712 citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 313
- Cellular and Molecular Neuroscience 266
- Physiology 166
- Oncology 121
- Cell Biology 53
Countries citing papers authored by Toshiyuki Chikuma
This map shows the geographic impact of Toshiyuki Chikuma'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 Toshiyuki Chikuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshiyuki Chikuma more than expected).
Fields of papers citing papers by Toshiyuki Chikuma
This network shows the impact of papers produced by Toshiyuki Chikuma. 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 Toshiyuki Chikuma. The network helps show where Toshiyuki Chikuma may publish in the future.
Co-authorship network of co-authors of Toshiyuki Chikuma
This figure shows the co-authorship network connecting the top 25 collaborators of Toshiyuki Chikuma. A scholar is included among the top collaborators of Toshiyuki Chikuma 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 Toshiyuki Chikuma. Toshiyuki Chikuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Application of the quantitative detection of a change in concentration of magnesium stearate in a feeder tube of tableting manufacture by real-time near-infrared spectroscopy. | 1 |
| 2 | Monitoring of methylergometrine in human breast milk by solid-phase extraction and high-performance liquid chromatography with fluorimetric detection. | 6 |
| 3 | 31 | |
| 4 | 11 | |
| 5 | 27 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 25 | |
| 10 | 17 | |
| 11 | 9 | |
| 12 | 10 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 8 | |
| 16 | 16 | |
| 17 | 11 | |
| 18 | 0 | |
| 19 | 10 | |
| 20 | 3 |
About Toshiyuki Chikuma
Toshiyuki Chikuma is a scholar working on Cellular and Molecular Neuroscience, Clinical Biochemistry and Biochemistry, having authored 76 papers that have together received 727 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (24 papers), Peptidase Inhibition and Analysis (12 papers) and Receptor Mechanisms and Signaling (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (266 citations), Biological Psychiatry (21 citations) and Physiology (166 citations). Toshiyuki Chikuma has collaborated with scholars based in Japan, United States and Bangladesh. Frequent co-authors include Takeshi Kato, Takeshi Kato, Hiroshi Hojo, Md. Mahiuddin Ahmed, Mohammad Ali Arif, Mitsune Yamaguchi, Yukihiro Tsuchiya, Tadafumi Kato, Kyoji Taguchi and Masaru Yamamoto. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry and Brain 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.