Daisuke Hasegawa
- Hematology top 2%
- Public Health, Environmental and Occupational Health top 5%
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 10%
- Genetics top 10%
- Co-authors
- Atsushi ManabeKatsuyoshi KohKevin Y. UrayamaMotohiro KatoAkira OharaAkira KikuchiChitose OgawaNobutaka Kiyokawa
- Topics
- Acute Myeloid Leukemia Research (32 papers)Acute Lymphoblastic Leukemia research (26 papers)Childhood Cancer Survivors' Quality of Life (16 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaBlood
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Daisuke Hasegawa
81 papers receiving 916 citations
Peers
Comparison fields: 5 of 108
- Hematology 355
- Public Health, Environmental and Occupational Health 302
- Molecular Biology 250
- Pediatrics, Perinatology and Child Health 179
- Genetics 111
Countries citing papers authored by Daisuke Hasegawa
This map shows the geographic impact of Daisuke Hasegawa'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 Daisuke Hasegawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Hasegawa more than expected).
Fields of papers citing papers by Daisuke Hasegawa
This network shows the impact of papers produced by Daisuke Hasegawa. 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 Daisuke Hasegawa. The network helps show where Daisuke Hasegawa may publish in the future.
Co-authorship network of co-authors of Daisuke Hasegawa
This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Hasegawa. A scholar is included among the top collaborators of Daisuke Hasegawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daisuke Hasegawa. Daisuke Hasegawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 4 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 25 | |
| 16 | 3 | |
| 17 | 14 | |
| 18 | 6 | |
| 19 | 20 | |
| 20 | 8 |
About Daisuke Hasegawa
Daisuke Hasegawa is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 92 papers that have together received 934 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (32 papers), Acute Lymphoblastic Leukemia research (26 papers) and Childhood Cancer Survivors' Quality of Life (16 papers). The work is most often cited by research in Hematology (355 citations), Genetics (111 citations) and Public Health, Environmental and Occupational Health (302 citations). Daisuke Hasegawa has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Atsushi Manabe, Katsuyoshi Koh, Kevin Y. Urayama, Motohiro Kato, Akira Ohara, Akira Kikuchi, Chitose Ogawa, Nobutaka Kiyokawa, Toshihiro Akihisa and Hisaya Nakadate. 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.