Katsuyoshi Koh
- Hematology top 1%
- Acute Myeloid Leukemia Research 58
- Hematopoietic Stem Cell Transplantation 52
- Chronic Myeloid Leukemia Treatments 17
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- Acute Lymphoblastic Leukemia research 80
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- Childhood Cancer Survivors' Quality of Life 44
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 10
- Speech and Hearing top 5%
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- Neuroblastoma Research and Treatments 13
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- Neutropenia and Cancer Infections 8
- Co-authors
- Motohiro KatoAtsushi ManabeRyoji HanadaAkira KikuchiDaisuke TomizawaJunko TakitaYoïchi TanakaHisaya Nakadate
- Cited by
- HematologyPublic Health, Environmental and Occupational HealthPediatrics, Perinatology and Child Health
- Journals
- Journal of Clinical Oncology (2 papers)SHILAP Revista de lepidopterología (2 papers)Blood (21 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Katsuyoshi Koh
166 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 100
- Hematology 933
- Public Health, Environmental and Occupational Health 998
- Pediatrics, Perinatology and Child Health 558
- Genetics 220
- Speech and Hearing 106
Countries citing papers authored by Katsuyoshi Koh
This map shows the geographic impact of Katsuyoshi Koh'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 Katsuyoshi Koh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katsuyoshi Koh more than expected).
Fields of papers citing papers by Katsuyoshi Koh
This network shows the impact of papers produced by Katsuyoshi Koh. 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 Katsuyoshi Koh. The network helps show where Katsuyoshi Koh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Katsuyoshi Koh, 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 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 14 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 3 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 6 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 8 | |
| 13 | 2019 | 6 | |
| 14 | 2019 | 6 | |
| 15 | 2019 | 4 | |
| 16 | 2019 | 10 | |
| 17 | 2018 | 6 | |
| 18 | 2018 | 19 | |
| 19 | 2017 | 14 | |
| 20 | 2017 | 6 |
About Katsuyoshi Koh
Katsuyoshi Koh is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 180 papers that have together received 2.0k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (80 papers), Acute Myeloid Leukemia Research (58 papers), Hematopoietic Stem Cell Transplantation (52 papers), Childhood Cancer Survivors' Quality of Life (44 papers), Chronic Myeloid Leukemia Treatments (17 papers), Neuroblastoma Research and Treatments (13 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Neutropenia and Cancer Infections (8 papers). The work is most often cited by research in Hematology (933 citations), Public Health, Environmental and Occupational Health (998 citations) and Pediatrics, Perinatology and Child Health (558 citations). Katsuyoshi Koh has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Motohiro Kato, Atsushi Manabe, Ryoji Hanada, Akira Kikuchi, Daisuke Tomizawa, Junko Takita, Yoïchi Tanaka, Hisaya Nakadate, Kensuke Kondoh and Kozue Nakamura. 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.