Hiroto Narimatsu
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
-
- Lymphoma Diagnosis and Treatment
Papers in
- Hematology 25
- Hematopoietic Stem Cell Transplantation 14
- Acute Myeloid Leukemia Research 6
- Co-authors
- Masahiro KamiTomoko MatsumuraKoichiro YujiShuichi TaniguchiShigesaburo MiyakoshiKoichi ItoJaeduk Yoshimura NohYo Kunii
- Journals
- Blood (5 papers)Biology of Blood and Marrow Transplantation (4 papers)Bone Marrow Transplantation (4 papers)PLoS ONE (4 papers)British Journal of Haematology (3 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Hiroto Narimatsu
86 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 127
- Hematology 466
- Pathology and Forensic Medicine 264
- Genetics 156
- Oncology 342
- Endocrinology, Diabetes and Metabolism 193
Countries citing papers authored by Hiroto Narimatsu
This map shows the geographic impact of Hiroto Narimatsu'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 Hiroto Narimatsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroto Narimatsu more than expected).
Fields of papers citing papers by Hiroto Narimatsu
This network shows the impact of papers produced by Hiroto Narimatsu. 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 Hiroto Narimatsu. The network helps show where Hiroto Narimatsu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroto Narimatsu, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 3 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 4 | |
| 11 | 2017 | 8 | |
| 12 | 2015 | 22 | |
| 13 | 2013 | 3 | |
| 14 | 2011 | 4 | |
| 15 | 2010 | 13 | |
| 16 | 2008 | 7 | |
| 17 | 2008 | 32 | |
| 18 | 2008 | 75 | |
| 19 | 2008 | 45 | |
| 20 | 1998 | 29 |
About Hiroto Narimatsu
Hiroto Narimatsu is a scholar working on Hematology, Microbiology, Pathology and Forensic Medicine, Oncology and Transplantation, having authored 87 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (14 papers), Lymphoma Diagnosis and Treatment (11 papers), Acute Myeloid Leukemia Research (6 papers), Healthcare Policy and Management (6 papers), Polyomavirus and related diseases (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Acute Lymphoblastic Leukemia research (5 papers) and Cytomegalovirus and herpesvirus research (5 papers). The work is most often cited by research in Hematology (466 citations), Pathology and Forensic Medicine (264 citations), Genetics (156 citations), Oncology (342 citations) and Endocrinology, Diabetes and Metabolism (193 citations). Hiroto Narimatsu has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Masahiro Kami, Tomoko Matsumura, Koichiro Yuji, Shuichi Taniguchi, Shigesaburo Miyakoshi, Koichi Ito, Jaeduk Yoshimura Noh, Yo Kunii, Natsuko Watanabe and Koji Mukasa. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, PLoS ONE and British Journal of Haematology.
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.