Yoji Tokuma
- Pharmacology top 2%
- Molecular Biology
- Oncology
- Pediatrics, Perinatology and Child Health top 10%
- Spectroscopy top 5%
- Co-authors
- Hideyo NoguchiH. NoguchiToshiro NiwaTakehisa HataT. FujiwaraToshifumi ShiragaKenji IwasakiKazuko Nagase
- Topics
- Drug Transport and Resistance Mechanisms (12 papers)Antibiotics Pharmacokinetics and Efficacy (12 papers)Pharmacogenetics and Drug Metabolism (11 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsJournal of Pharmacology and Experimental TherapeuticsJournal of Chromatography A
- Partner nations
- JapanUnited States
In The Last Decade
Yoji Tokuma
47 papers receiving 710 citations
Peers
Comparison fields: 5 of 90
- Pharmacology 214
- Molecular Biology 193
- Oncology 175
- Pediatrics, Perinatology and Child Health 160
- Spectroscopy 158
Countries citing papers authored by Yoji Tokuma
This map shows the geographic impact of Yoji Tokuma'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 Yoji Tokuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoji Tokuma more than expected).
Fields of papers citing papers by Yoji Tokuma
This network shows the impact of papers produced by Yoji Tokuma. 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 Yoji Tokuma. The network helps show where Yoji Tokuma may publish in the future.
Co-authorship network of co-authors of Yoji Tokuma
This figure shows the co-authorship network connecting the top 25 collaborators of Yoji Tokuma. A scholar is included among the top collaborators of Yoji Tokuma 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 Yoji Tokuma. Yoji Tokuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | [Development of software for data analysis by therapeutic drug monitoring of teicoplanin, a glycopeptide antibiotic]. | 4 |
| 2 | 12 | |
| 3 | 8 | |
| 4 | Tissue distribution kinetics of a new nonsteroidal 5 alpha-reductase [correction of 5 A-reductase] inhibitor, 4-[3-[3-[bis(4-isobutylphenyl)methylamino]benzoyl]-1H-indol-1-YL ]-butyric acid, in rats. | 3 |
| 5 | 53 | |
| 6 | 15 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 28 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 8 | |
| 13 | 36 | |
| 14 | 7 | |
| 15 | 34 | |
| 16 | 24 | |
| 17 | 5 | |
| 18 | 46 | |
| 19 | 6 | |
| 20 | A quantitative assay of phagocytosis using liposomes with trapped spin labels. | 2 |
About Yoji Tokuma
Yoji Tokuma is a scholar working on Pharmacology, Pharmacology and Analytical Chemistry, having authored 49 papers that have together received 797 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (12 papers), Antibiotics Pharmacokinetics and Efficacy (12 papers) and Pharmacogenetics and Drug Metabolism (11 papers). The work is most often cited by research in Transplantation (102 citations), Pharmacology (214 citations) and Spectroscopy (158 citations). Yoji Tokuma has collaborated with scholars based in Japan and United States. Frequent co-authors include Hideyo Noguchi, H. Noguchi, Toshiro Niwa, Takehisa Hata, T. Fujiwara, Toshifumi Shiraga, Kenji Iwasaki, Kazuko Nagase, Yukiyoshi Morimoto and Akira Shishido. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics and Journal of Chromatography A.
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.