Keisuke Toyama
- Hematology top 0.1%
- Molecular Biology top 5%
- Genetics top 0.5%
- Public Health, Environmental and Occupational Health top 1%
- Physiology top 2%
- Co-authors
- Kazuma OhyashikiDavid OscierChristopher CoxJohn M. BennettMichelle M. LeBeauCarlo AulGuillermo SanzTeresa Vallespı́
- Topics
- Acute Myeloid Leukemia Research (62 papers)Chronic Myeloid Leukemia Treatments (26 papers)Chronic Lymphocytic Leukemia Research (19 papers)
- Cited by
- HematologyGeneticsEmergency Medicine
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Genetics
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Keisuke Toyama
149 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Hematology 4.6k
- Molecular Biology 2.4k
- Genetics 1.8k
- Public Health, Environmental and Occupational Health 1.0k
- Physiology 850
Countries citing papers authored by Keisuke Toyama
This map shows the geographic impact of Keisuke Toyama'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 Keisuke Toyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keisuke Toyama more than expected).
Fields of papers citing papers by Keisuke Toyama
This network shows the impact of papers produced by Keisuke Toyama. 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 Keisuke Toyama. The network helps show where Keisuke Toyama may publish in the future.
Co-authorship network of co-authors of Keisuke Toyama
This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Toyama. A scholar is included among the top collaborators of Keisuke Toyama 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 Keisuke Toyama. Keisuke Toyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 81 | |
| 2 | 3 | |
| 3 | 215 | |
| 4 | 5 | |
| 5 | 28 | |
| 6 | 0 | |
| 7 | 30 | |
| 8 | 3 | |
| 9 | 25 | |
| 10 | [Immunocompetent cells in lymph nodes of B-cell lymphomas]. | 1 |
| 11 | 1 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 21 | |
| 15 | 2 | |
| 16 | 9 | |
| 17 | 7 | |
| 18 | Structural and functional design of visual system. | 0 |
| 19 | [A case of chronic neutrophilic leukemia (author's transl)]. | 1 |
| 20 | 1 |
About Keisuke Toyama
Keisuke Toyama is a scholar working on Hematology, Genetics and Physiology, having authored 157 papers that have together received 6.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (62 papers), Chronic Myeloid Leukemia Treatments (26 papers) and Chronic Lymphocytic Leukemia Research (19 papers). The work is most often cited by research in Hematology (4.6k citations), Genetics (1.8k citations) and Emergency Medicine (452 citations). Keisuke Toyama has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuma Ohyashiki, David Oscier, Christopher Cox, John M. Bennett, Michelle M. LeBeau, Carlo Aul, Guillermo Sanz, Teresa Vallespı́, Pierre Fenaux and Pierre Morel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.
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.