Kaoru Hatano
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
Papers in
- Hematology 24
- Acute Myeloid Leukemia Research 11
- Hematopoietic Stem Cell Transplantation 8
- Multiple Myeloma Research and Treatments 4
-
- Renal and related cancers 3
- Co-authors
- Iekuni Oh (24 shared papers)Kazuya Sato (25 shared papers)Kazuo Muroi (20 shared papers)Shin‐ichiro Fujiwara (27 shared papers)Ken Ohmine (24 shared papers)Masaki Mori (4 shared papers)Tadashi Nagai (5 shared papers)Chihiro Yamamoto (23 shared papers)
- Journals
- Blood (5 papers)Annals of Hematology (4 papers)International Journal of Hematology (3 papers)Acta Haematologica (3 papers)Leukemia Research (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Kaoru Hatano
33 papers receiving 382 citations
Peers
Comparison fields: 5 of 60
- Hematology 263
- Genetics 61
- Immunology and Allergy 34
- Oncology 107
- Immunology 68
Countries citing papers authored by Kaoru Hatano
This map shows the geographic impact of Kaoru Hatano'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 Kaoru Hatano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Hatano more than expected).
Fields of papers citing papers by Kaoru Hatano
This network shows the impact of papers produced by Kaoru Hatano. 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 Kaoru Hatano. The network helps show where Kaoru Hatano may publish in the future.
Co-authors
The 25 scholars most cited alongside Kaoru Hatano, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 152 | |
| 2 | 2018 | 24 | |
| 3 | 2018 | 20 | |
| 4 | Hematopoietic recovery after administration of deferasirox for transfusional iron overload in a case of myelodysplastic syndrome. | 2009 | 18 |
| 5 | 2016 | 16 | |
| 6 | 2019 | 14 | |
| 7 | 2016 | 14 | |
| 8 | 2017 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2016 | 10 | |
| 11 | 2017 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 2016 | 8 | |
| 14 | 2013 | 7 | |
| 15 | 2016 | 7 | |
| 16 | 2013 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2017 | 6 | |
| 19 | 2021 | 6 | |
| 20 | 2022 | 5 |
About Kaoru Hatano
Kaoru Hatano is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Public Health, Environmental and Occupational Health, having authored 37 papers that have together received 389 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Hematopoietic Stem Cell Transplantation (8 papers), Acute Lymphoblastic Leukemia research (6 papers), Immune Cell Function and Interaction (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Multiple Myeloma Research and Treatments (4 papers), Neutropenia and Cancer Infections (3 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Hematology (263 citations), Genetics (61 citations), Immunology and Allergy (34 citations), Oncology (107 citations) and Immunology (68 citations). Kaoru Hatano has collaborated with scholars based in Japan and United States. Frequent co-authors include Iekuni Oh, Kazuya Sato, Kazuo Muroi, Shin‐ichiro Fujiwara, Ken Ohmine, Masaki Mori, Tadashi Nagai, Chihiro Yamamoto, Yusuke Furukawa and Jiro Kikuchi. Their work appears in journals such as Blood, Annals of Hematology, International Journal of Hematology, Acta Haematologica and Leukemia Research.
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.