Koichiro Muta
Impact in
- Hematology top 5%
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
Papers in
- Hematology 24
- Iron Metabolism and Disorders 5
- Acute Myeloid Leukemia Research 5
- Co-authors
- Hajime Nawata (38 shared papers)Sanford B. Krantz (4 shared papers)Yasunobu Abe (35 shared papers)Junji Nishimura (39 shared papers)Tsukuru Umemura (6 shared papers)Koichi Ohshima (11 shared papers)Takamitsu Matsushima (11 shared papers)Takeshi Watanabe (5 shared papers)
- Journals
- American Journal of Hematology (7 papers)International Journal of Hematology (6 papers)European Journal Of Haematology (5 papers)Experimental Hematology (4 papers)Blood (3 papers)
- Partner nations
- JapanUnited StatesThailand
In The Last Decade
Koichiro Muta
65 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 114
- Hematology 284
- Genetics 237
- Immunology 362
- Cancer Research 231
- Automotive Engineering 165
Countries citing papers authored by Koichiro Muta
This map shows the geographic impact of Koichiro 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 Koichiro Muta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koichiro Muta more than expected).
Fields of papers citing papers by Koichiro Muta
This network shows the impact of papers produced by Koichiro 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 Koichiro Muta. The network helps show where Koichiro Muta may publish in the future.
Co-authors
The 25 scholars most cited alongside Koichiro 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
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 209 | |
| 2 | 2007 | 162 | |
| 3 | 2005 | 140 | |
| 4 | 1993 | 135 | |
| 5 | 2001 | 91 | |
| 6 | 2001 | 78 | |
| 7 | 1999 | 55 | |
| 8 | 1992 | 43 | |
| 9 | 2001 | 36 | |
| 10 | 2003 | 36 | |
| 11 | 2000 | 31 | |
| 12 | 2007 | 29 | |
| 13 | 2002 | 26 | |
| 14 | 2006 | 24 | |
| 15 | 2005 | 23 | |
| 16 | 1995 | 22 | |
| 17 | 2004 | 22 | |
| 18 | 1998 | 21 | |
| 19 | 2001 | 19 | |
| 20 | 2000 | 18 |
About Koichiro Muta
Koichiro Muta is a scholar working on Hematology, Molecular Biology, Immunology, Genetics and Oncology, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (12 papers), Chronic Lymphocytic Leukemia Research (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Hemoglobinopathies and Related Disorders (6 papers), T-cell and Retrovirus Studies (6 papers), Iron Metabolism and Disorders (5 papers), Acute Myeloid Leukemia Research (5 papers) and Viral-associated cancers and disorders (5 papers). The work is most often cited by research in Hematology (284 citations), Genetics (237 citations), Immunology (362 citations), Cancer Research (231 citations) and Automotive Engineering (165 citations). Koichiro Muta has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Hajime Nawata, Sanford B. Krantz, Yasunobu Abe, Junji Nishimura, Tsukuru Umemura, Koichi Ohshima, Takamitsu Matsushima, Takeshi Watanabe, Manabu Nakashima and Hiroshi Ideguchi. Their work appears in journals such as American Journal of Hematology, International Journal of Hematology, European Journal Of Haematology, Experimental Hematology 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.