Kosei Matsue
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments 78
- Hematopoietic Stem Cell Transplantation 29
- Acute Myeloid Leukemia Research 16
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 26
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- Lymphoma Diagnosis and Treatment 59
- Neurology top 2%
- CNS Lymphoma Diagnosis and Treatment 26
- Oncology top 2%
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- Amyloidosis: Diagnosis, Treatment, Outcomes 25
- Protein Degradation and Inhibitors 22
- Co-authors
- Masami TakeuchiMasayuki YamakuraNoboru AsadaKentaro NaritaDaisuke MiuraAkihiro KitadateYoshiaki AbeJun Odawara
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (4 papers)Blood (43 papers)
- Partner nations
- JapanUnited StatesGreece
In The Last Decade
Kosei Matsue
201 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 85
- Hematology 1.3k
- Genetics 736
- Pathology and Forensic Medicine 1.1k
- Neurology 733
- Oncology 1.1k
Countries citing papers authored by Kosei Matsue
This map shows the geographic impact of Kosei Matsue'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 Kosei Matsue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kosei Matsue more than expected).
Fields of papers citing papers by Kosei Matsue
This network shows the impact of papers produced by Kosei Matsue. 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 Kosei Matsue. The network helps show where Kosei Matsue may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kosei Matsue, 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 | 2024 | 5 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 0 | |
| 9 | 2020 | 2 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 1 | |
| 12 | 2017 | 14 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 6 | |
| 15 | 2017 | 2 | |
| 16 | 2017 | 2 | |
| 17 | 2017 | 7 | |
| 18 | 2014 | 7 | |
| 19 | Primary amyloidosis associated with IgD-λ M-proteinemia | 2007 | 1 |
| 20 | 1999 | 55 |
About Kosei Matsue
Kosei Matsue is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 213 papers that have together received 3.2k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (78 papers), Lymphoma Diagnosis and Treatment (59 papers), Hematopoietic Stem Cell Transplantation (29 papers), Chronic Lymphocytic Leukemia Research (26 papers), CNS Lymphoma Diagnosis and Treatment (26 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (25 papers), Protein Degradation and Inhibitors (22 papers) and Acute Myeloid Leukemia Research (16 papers). The work is most often cited by research in Hematology (1.3k citations), Genetics (736 citations) and Pathology and Forensic Medicine (1.1k citations). Kosei Matsue has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Masami Takeuchi, Masayuki Yamakura, Noboru Asada, Kentaro Narita, Daisuke Miura, Akihiro Kitadate, Yoshiaki Abe, Jun Odawara, Hidetaka Uryu and Hideaki Fujiwara. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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.