Eri Matsuki
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 22
- Chronic Myeloid Leukemia Treatments 14
- Hematopoietic Stem Cell Transplantation 3
- Genetics 16
- Chronic Lymphocytic Leukemia Research 10
- Myeloproliferative Neoplasms: Diagnosis and Treatment 4
- Co-authors
- Anas Younes (5 shared papers)Connie Lee Batlevi (1 shared paper)Renier J. Brentjens (1 shared paper)Shinichiro Okamoto (22 shared papers)Kenji Yokoyama (8 shared papers)Takayuki Shimizu (10 shared papers)Masatoshi Sakurai (11 shared papers)Takehiko Mori (8 shared papers)
- Journals
- Blood (10 papers)International Journal of Hematology (4 papers)Blood Cancer Journal (2 papers)Clinical Cancer Research (1 paper)Experimental Hematology (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Eri Matsuki
40 papers receiving 505 citations
Peers
Comparison fields: 5 of 58
- Hematology 152
- Genetics 104
- Oncology 232
- Pathology and Forensic Medicine 117
- Immunology 124
Countries citing papers authored by Eri Matsuki
This map shows the geographic impact of Eri Matsuki'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 Eri Matsuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eri Matsuki more than expected).
Fields of papers citing papers by Eri Matsuki
This network shows the impact of papers produced by Eri Matsuki. 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 Eri Matsuki. The network helps show where Eri Matsuki may publish in the future.
Co-authors
The 25 scholars most cited alongside Eri Matsuki, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 195 | |
| 2 | 2016 | 52 | |
| 3 | 2015 | 27 | |
| 4 | 2013 | 19 | |
| 5 | 2022 | 18 | |
| 6 | 2018 | 17 | |
| 7 | 2019 | 17 | |
| 8 | 2011 | 15 | |
| 9 | 2012 | 13 | |
| 10 | 2012 | 12 | |
| 11 | 2017 | 12 | |
| 12 | 2022 | 10 | |
| 13 | 2011 | 10 | |
| 14 | 2014 | 9 | |
| 15 | 2011 | 9 | |
| 16 | 2016 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2011 | 7 | |
| 19 | 2015 | 7 | |
| 20 | 2021 | 6 |
About Eri Matsuki
Eri Matsuki is a scholar working on Hematology, Genetics, Oncology, Rheumatology and Pathology and Forensic Medicine, having authored 41 papers that have together received 517 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (14 papers), Chronic Lymphocytic Leukemia Research (10 papers), Eosinophilic Disorders and Syndromes (8 papers), Immune Cell Function and Interaction (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Hematopoietic Stem Cell Transplantation (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Hematology (152 citations), Genetics (104 citations), Oncology (232 citations), Pathology and Forensic Medicine (117 citations) and Immunology (124 citations). Eri Matsuki has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Anas Younes, Connie Lee Batlevi, Renier J. Brentjens, Shinichiro Okamoto, Kenji Yokoyama, Takayuki Shimizu, Masatoshi Sakurai, Takehiko Mori, Yuiko Tsukada and Yoshitaka Miyakawa. Their work appears in journals such as Blood, International Journal of Hematology, Blood Cancer Journal, Clinical Cancer Research and Experimental Hematology.
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.