Yuta Kimura
Impact in
- Hematology top 10%
- Chronic Myeloid Leukemia Treatments
- Orthopedics and Sports Medicine top 10%
Papers in
- Hematology 21
- Chronic Myeloid Leukemia Treatments 12
- Multiple Myeloma Research and Treatments 7
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- Shape Memory Alloy Transformations 11
- Co-authors
- Ryosuke Kainuma (12 shared papers)Toshihiro Omori (9 shared papers)Xiao Xu (8 shared papers)Kodai Niitsu (6 shared papers)Hisashi Kurosawa (3 shared papers)Akishige Hokugo (1 shared paper)Yasuhiko Tabata (1 shared paper)Tomoaki Takamoto (1 shared paper)
- Journals
- Blood (5 papers)International Journal of Hematology (4 papers)Medical Oncology (3 papers)Journal of Clinical and Experimental Hematopathology (3 papers)Physical review. B. (2 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Yuta Kimura
84 papers receiving 865 citations
Peers
Comparison fields: 5 of 115
- Hematology 79
- Orthopedics and Sports Medicine 50
- Rheumatology 80
- Genetics 55
- Materials Chemistry 248
Countries citing papers authored by Yuta Kimura
This map shows the geographic impact of Yuta Kimura'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 Yuta Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuta Kimura more than expected).
Fields of papers citing papers by Yuta Kimura
This network shows the impact of papers produced by Yuta Kimura. 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 Yuta Kimura. The network helps show where Yuta Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuta Kimura, 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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 109 | |
| 2 | 2008 | 84 | |
| 3 | 2018 | 51 | |
| 4 | 2010 | 38 | |
| 5 | 2009 | 35 | |
| 6 | 2015 | 33 | |
| 7 | 2018 | 32 | |
| 8 | 2012 | 24 | |
| 9 | 2014 | 24 | |
| 10 | 2020 | 23 | |
| 11 | 2016 | 21 | |
| 12 | 2018 | 21 | |
| 13 | 2022 | 19 | |
| 14 | 2010 | 19 | |
| 15 | 2017 | 16 | |
| 16 | 2014 | 16 | |
| 17 | 2014 | 14 | |
| 18 | 2017 | 13 | |
| 19 | 2015 | 12 | |
| 20 | 2017 | 12 |
About Yuta Kimura
Yuta Kimura is a scholar working on Hematology, Materials Chemistry, Genetics, Oncology and Molecular Biology, having authored 96 papers that have together received 881 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (12 papers), Shape Memory Alloy Transformations (11 papers), Chronic Lymphocytic Leukemia Research (11 papers), Multiple Myeloma Research and Treatments (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Geophysical Methods and Applications (5 papers), Magnetic and transport properties of perovskites and related materials (4 papers) and Eosinophilic Disorders and Syndromes (4 papers). The work is most often cited by research in Hematology (79 citations), Orthopedics and Sports Medicine (50 citations), Rheumatology (80 citations), Genetics (55 citations) and Materials Chemistry (248 citations). Yuta Kimura has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Ryosuke Kainuma, Toshihiro Omori, Xiao Xu, Kodai Niitsu, Hisashi Kurosawa, Akishige Hokugo, Yasuhiko Tabata, Tomoaki Takamoto, Kiyoshi Masuda and Makoto Nagasako. Their work appears in journals such as Blood, International Journal of Hematology, Medical Oncology, Journal of Clinical and Experimental Hematopathology and Physical review. B..
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.