Daisuke Harama
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
-
- Chronic Myeloid Leukemia Treatments 7
- Acute Myeloid Leukemia Research 2
- Oncology 6
- CAR-T cell therapy research 2
- Co-authors
- Yuki Nakamura (4 shared papers)Naomi Shimokawa (4 shared papers)Atsuhito Nakao (4 shared papers)Masanori Kitamura (3 shared papers)Hideoki Ogawa (3 shared papers)Kayoko Ishimaru (2 shared papers)Ko Okumura (2 shared papers)Shuji Matsuoka (2 shared papers)
- Journals
- Clinical & Experimental Allergy (3 papers)Leukemia Research (2 papers)International Journal of Hematology (2 papers)Immunology and Cell Biology (2 papers)Scientific Reports (1 paper)
- Partner nations
- JapanUnited StatesNorway
In The Last Decade
Daisuke Harama
21 papers receiving 353 citations
Peers
Comparison fields: 5 of 73
- Biological Psychiatry 44
- Endocrine and Autonomic Systems 58
- Immunology and Allergy 29
- Immunology 88
- Aging 6
Countries citing papers authored by Daisuke Harama
This map shows the geographic impact of Daisuke Harama'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 Harama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Harama more than expected).
Fields of papers citing papers by Daisuke Harama
This network shows the impact of papers produced by Daisuke Harama. 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 Harama. The network helps show where Daisuke Harama may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Harama, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 107 | |
| 2 | 2010 | 83 | |
| 3 | 2011 | 67 | |
| 4 | 2009 | 34 | |
| 5 | 2018 | 22 | |
| 6 | 2017 | 9 | |
| 7 | 2021 | 7 | |
| 8 | 2020 | 5 | |
| 9 | 2018 | 5 | |
| 10 | 2022 | 3 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2018 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 1 |
About Daisuke Harama
Daisuke Harama is a scholar working on Hematology, Oncology, Public Health, Environmental and Occupational Health, Immunology and Allergy and Molecular Biology, having authored 24 papers that have together received 355 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (7 papers), Acute Lymphoblastic Leukemia research (6 papers), Food Allergy and Anaphylaxis Research (4 papers), Allergic Rhinitis and Sensitization (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Asthma and respiratory diseases (3 papers), Acute Myeloid Leukemia Research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Biological Psychiatry (44 citations), Endocrine and Autonomic Systems (58 citations), Immunology and Allergy (29 citations), Immunology (88 citations) and Aging (6 citations). Daisuke Harama has collaborated with scholars based in Japan, United States and Norway. Frequent co-authors include Yuki Nakamura, Naomi Shimokawa, Atsuhito Nakao, Masanori Kitamura, Hideoki Ogawa, Kayoko Ishimaru, Ko Okumura, Shuji Matsuoka, Shuji Ikegami and Seiya Makino. Their work appears in journals such as Clinical & Experimental Allergy, Leukemia Research, International Journal of Hematology, Immunology and Cell Biology and Scientific Reports.
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.