Tsuyoshi Muta
Impact in
- Microbiology top 0.5%
- Antimicrobial Peptides and Activities
- Immunology top 2%
- Invertebrate Immune Response Mechanisms
- Aquaculture disease management and microbiota
Papers in
- Hematology 31
- Multiple Myeloma Research and Treatments 12
- Hematopoietic Stem Cell Transplantation 9
- Acute Myeloid Leukemia Research 7
- Genetics 13
- Chronic Lymphocytic Leukemia Research 10
- Venomous Animal Envenomation and Studies 7
- Co-authors
- Shiroh IwanagaFuminori TokunagaToshiyuki MiyataNaotaka HamasakiTakanori NakamuraDongchon KangYoshihiro TohMakoto Niwa
- Journals
- International Journal of Hematology (14 papers)Journal of Biological Chemistry (11 papers)Annals of Oncology (3 papers)Advances in experimental medicine and biology (3 papers)European Journal of Biochemistry (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Tsuyoshi Muta
77 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 119
- Microbiology 523
- Immunology 966
- Hematology 247
- Molecular Biology 1.0k
- Insect Science 179
Countries citing papers authored by Tsuyoshi Muta
This map shows the geographic impact of Tsuyoshi Muta'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 Tsuyoshi Muta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsuyoshi Muta more than expected).
Fields of papers citing papers by Tsuyoshi Muta
This network shows the impact of papers produced by Tsuyoshi Muta. 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 Tsuyoshi Muta. The network helps show where Tsuyoshi Muta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tsuyoshi Muta, 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 | 2018 | 5 | |
| 3 | 2017 | 9 | |
| 4 | 2015 | 1 | |
| 5 | 2013 | 3 | |
| 6 | 2013 | 8 | |
| 7 | 2013 | 0 | |
| 8 | 2013 | 9 | |
| 9 | 2007 | 16 | |
| 10 | 2007 | 43 | |
| 11 | 2006 | 13 | |
| 12 | 2006 | 18 | |
| 13 | 2003 | 6 | |
| 14 | 2003 | 8 | |
| 15 | 2002 | 10 | |
| 16 | 2000 | 59 | |
| 17 | 1999 | 18 | |
| 18 | 1997 | 190 | |
| 19 | 1992 | 109 | |
| 20 | 1990 | 8 |
About Tsuyoshi Muta
Tsuyoshi Muta is a scholar working on Hematology, Genetics, Immunology, Microbiology and Pathology and Forensic Medicine, having authored 81 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (12 papers), Lymphoma Diagnosis and Treatment (11 papers), Chronic Lymphocytic Leukemia Research (10 papers), Invertebrate Immune Response Mechanisms (9 papers), Hematopoietic Stem Cell Transplantation (9 papers), Venomous Animal Envenomation and Studies (7 papers), Acute Myeloid Leukemia Research (7 papers) and T-cell and Retrovirus Studies (6 papers). The work is most often cited by research in Microbiology (523 citations), Immunology (966 citations), Hematology (247 citations), Molecular Biology (1.0k citations) and Insect Science (179 citations). Tsuyoshi Muta has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shiroh Iwanaga, Fuminori Tokunaga, Toshiyuki Miyata, Naotaka Hamasaki, Takanori Nakamura, Dongchon Kang, Yoshihiro Toh, Makoto Niwa, Takaki Miyata and Toshifumi Takao. Their work appears in journals such as International Journal of Hematology, Journal of Biological Chemistry, Annals of Oncology, Advances in experimental medicine and biology and European Journal of Biochemistry.
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.