Takashi Toya
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- Neuropeptides and Animal Physiology 8
- Neuroscience and Neuropharmacology Research 8
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 23
- Acute Myeloid Leukemia Research 22
- Chronic Myeloid Leukemia Treatments 6
- Molecular Biology top 10%
- Physiology top 10%
- Infectious Diseases top 10%
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- Chronic Lymphocytic Leukemia Research 8
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- Cytomegalovirus and herpesvirus research 8
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- Acute Lymphoblastic Leukemia research 7
- Co-authors
- Tatsuhiro OnogiYoshikazu KataoMasabumi MinamiKeiko MaekawaTokio YamaguchiMasamichí OkadaYukinori NagakuraAtsuyuki Kohara
- Journals
- Nature Communications (1 paper)SHILAP Revista de lepidopterología (2 papers)Blood (8 papers)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Takashi Toya
70 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Cellular and Molecular Neuroscience 658
- Hematology 329
- Molecular Biology 925
- Physiology 328
- Infectious Diseases 227
Countries citing papers authored by Takashi Toya
This map shows the geographic impact of Takashi Toya'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 Takashi Toya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Toya more than expected).
Fields of papers citing papers by Takashi Toya
This network shows the impact of papers produced by Takashi Toya. 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 Takashi Toya. The network helps show where Takashi Toya may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takashi Toya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 1 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 2 | |
| 14 | 2021 | 2 | |
| 15 | 2020 | 12 | |
| 16 | 2020 | 19 | |
| 17 | 2020 | 9 | |
| 18 | 2020 | 6 | |
| 19 | 2018 | 54 | |
| 20 | 2017 | 4 |
About Takashi Toya
Takashi Toya is a scholar working on Hematology, Genetics and Cellular and Molecular Neuroscience, having authored 83 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (23 papers), Acute Myeloid Leukemia Research (22 papers), Chronic Lymphocytic Leukemia Research (8 papers), Neuropeptides and Animal Physiology (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Cytomegalovirus and herpesvirus research (8 papers), Acute Lymphoblastic Leukemia research (7 papers) and Chronic Myeloid Leukemia Treatments (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (658 citations), Hematology (329 citations) and Molecular Biology (925 citations). Takashi Toya has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Tatsuhiro Onogi, Yoshikazu Katao, Masabumi Minami, Keiko Maekawa, Tokio Yamaguchi, Masamichí Okada, Yukinori Nagakura, Atsuyuki Kohara, Tetsuo Kiso and Shuji Kaneko. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Blood.
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.