Tomoya Muto
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 18
- Acute Myeloid Leukemia Research 11
- Hematopoietic Stem Cell Transplantation 6
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- Epigenetics and DNA Methylation 7
- Co-authors
- Atsushi Iwama (9 shared papers)Goro Sashida (7 shared papers)Motohiko Oshima (5 shared papers)Makiko Mochizuki‐Kashio (6 shared papers)Changshan Wang (3 shared papers)Atsunori Saraya (6 shared papers)Chiaki Nakaseko (23 shared papers)Haruhiko Koseki (3 shared papers)
- Journals
- Blood (6 papers)International Journal of Hematology (5 papers)The Journal of Biochemistry (2 papers)Nature Communications (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Tomoya Muto
34 papers receiving 661 citations
Peers
Comparison fields: 5 of 57
- Hematology 292
- Genetics 82
- Molecular Biology 424
- Pathology and Forensic Medicine 65
- Neurology 52
Countries citing papers authored by Tomoya Muto
This map shows the geographic impact of Tomoya Muto'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 Tomoya Muto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoya Muto more than expected).
Fields of papers citing papers by Tomoya Muto
This network shows the impact of papers produced by Tomoya Muto. 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 Tomoya Muto. The network helps show where Tomoya Muto may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoya Muto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 137 | |
| 2 | 2014 | 131 | |
| 3 | 2015 | 103 | |
| 4 | 2016 | 32 | |
| 5 | [Magnetic resonance imaging of juvenile-type distal and segmental muscular atrophy of the upper extremities]. | 1987 | 32 |
| 6 | [Abnormal radiological findings in juvenile-type distal and segmental muscular atrophy of the upper extremities]. | 1985 | 26 |
| 7 | 2016 | 24 | |
| 8 | 2014 | 24 | |
| 9 | 2018 | 23 | |
| 10 | 2018 | 17 | |
| 11 | 1991 | 16 | |
| 12 | 1996 | 12 | |
| 13 | 2013 | 12 | |
| 14 | 2011 | 11 | |
| 15 | 2016 | 9 | |
| 16 | 1997 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2015 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2015 | 5 |
About Tomoya Muto
Tomoya Muto is a scholar working on Hematology, Molecular Biology, Oncology, Neurology and Genetics, having authored 36 papers that have together received 665 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Epigenetics and DNA Methylation (7 papers), Hematopoietic Stem Cell Transplantation (6 papers), Peripheral Neuropathies and Disorders (4 papers), Hereditary Neurological Disorders (3 papers), Autoimmune Bullous Skin Diseases (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers) and Renal Diseases and Glomerulopathies (2 papers). The work is most often cited by research in Hematology (292 citations), Genetics (82 citations), Molecular Biology (424 citations), Pathology and Forensic Medicine (65 citations) and Neurology (52 citations). Tomoya Muto has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Atsushi Iwama, Goro Sashida, Motohiko Oshima, Makiko Mochizuki‐Kashio, Changshan Wang, Atsunori Saraya, Chiaki Nakaseko, Haruhiko Koseki, T. Tomioka and Kazumasa Aoyama. Their work appears in journals such as Blood, International Journal of Hematology, The Journal of Biochemistry, Nature Communications and The Journal of Experimental Medicine.
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.