Akihiro Muto
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Immunology top 10%
- Immune Response and Inflammation
Papers in
-
- Retinoids in leukemia and cellular processes 13
- Advanced biosensing and bioanalysis techniques 4
- Natural product bioactivities and synthesis 3
- Hematology 12
- Acute Myeloid Leukemia Research 12
- Co-authors
- Naohiro Inohara (2 shared papers)Gabriel Núñez (2 shared papers)Felicia F. Chen (2 shared papers)Yasunori Ogura (1 shared paper)Masahiro Kizaki (19 shared papers)Yasuo Ikeda (10 shared papers)Hironori Ueno (12 shared papers)Hiromichi Matsushita (12 shared papers)
- Journals
- Blood (8 papers)Leukemia Research (3 papers)Journal of Biological Chemistry (3 papers)Molecular Cancer Therapeutics (2 papers)British Journal of Cancer (2 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Akihiro Muto
36 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Hematology 230
- Immunology 411
- Toxicology 49
- Cancer Research 206
- Biochemistry 77
Countries citing papers authored by Akihiro Muto
This map shows the geographic impact of Akihiro 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 Akihiro Muto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiro Muto more than expected).
Fields of papers citing papers by Akihiro Muto
This network shows the impact of papers produced by Akihiro 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 Akihiro Muto. The network helps show where Akihiro Muto may publish in the future.
Co-authors
The 25 scholars most cited alongside Akihiro 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 | 2001 | 436 | |
| 2 | 2007 | 106 | |
| 3 | 1996 | 95 | |
| 4 | 2010 | 80 | |
| 5 | 2016 | 78 | |
| 6 | 2014 | 70 | |
| 7 | 1999 | 66 | |
| 8 | 2018 | 60 | |
| 9 | 1996 | 57 | |
| 10 | 2000 | 50 | |
| 11 | 2007 | 45 | |
| 12 | 1996 | 39 | |
| 13 | 2007 | 37 | |
| 14 | 2002 | 35 | |
| 15 | 2001 | 34 | |
| 16 | 1996 | 33 | |
| 17 | 2012 | 22 | |
| 18 | 1998 | 22 | |
| 19 | 1997 | 20 | |
| 20 | 2015 | 20 |
About Akihiro Muto
Akihiro Muto is a scholar working on Molecular Biology, Hematology, Oncology, Genetics and Cancer Research, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Retinoids in leukemia and cellular processes (13 papers), Acute Myeloid Leukemia Research (12 papers), Estrogen and related hormone effects (7 papers), Cancer-related Molecular Pathways (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Natural product bioactivities and synthesis (3 papers), Sarcoma Diagnosis and Treatment (3 papers) and Natural Compounds in Disease Treatment (2 papers). The work is most often cited by research in Hematology (230 citations), Immunology (411 citations), Toxicology (49 citations), Cancer Research (206 citations) and Biochemistry (77 citations). Akihiro Muto has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Naohiro Inohara, Gabriel Núñez, Felicia F. Chen, Yasunori Ogura, Masahiro Kizaki, Yasuo Ikeda, Hironori Ueno, Hiromichi Matsushita, Yumi Fukuchi and Takatsune Shimizu. Their work appears in journals such as Blood, Leukemia Research, Journal of Biological Chemistry, Molecular Cancer Therapeutics and British Journal of Cancer.
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.