Nobuaki Adachi
- Hematology top 10%
- Acute Myeloid Leukemia Research 5
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- Epigenetics and DNA Methylation 5
- Cancer-related gene regulation 4
- Genomics and Chromatin Dynamics 3
- DNA Repair Mechanisms 2
- Chromatin Remodeling and Cancer 2
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- T-cell and Retrovirus Studies 3
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- Neutropenia and Cancer Infections 3
- Co-authors
- Takashi KuzuharaTsubasa MunakataMasami HorikoshiDaisuke HonmaKensei TobinaiKazushi ArakiKunihiro TsukasakiIssay Kitabayashi
- Journals
- Journal of Biological Chemistry (1 paper)Blood (6 papers)British Journal of Cancer (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Nobuaki Adachi
19 papers receiving 570 citations
Peers
Comparison fields: 5 of 47
- Hematology 118
- Molecular Biology 409
- Immunology 96
- Oncology 105
- Pathology and Forensic Medicine 53
Countries citing papers authored by Nobuaki Adachi
This map shows the geographic impact of Nobuaki Adachi'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 Nobuaki Adachi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuaki Adachi more than expected).
Fields of papers citing papers by Nobuaki Adachi
This network shows the impact of papers produced by Nobuaki Adachi. 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 Nobuaki Adachi. The network helps show where Nobuaki Adachi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nobuaki Adachi, 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 | 2021 | 17 | |
| 2 | 2019 | 4 | |
| 3 | 2019 | 128 | |
| 4 | 2019 | 12 | |
| 5 | 2017 | 71 | |
| 6 | 2017 | 107 | |
| 7 | 2016 | 9 | |
| 8 | 2015 | 3 | |
| 9 | 2015 | 3 | |
| 10 | 2003 | 14 | |
| 11 | 2000 | 109 | |
| 12 | [Genetic analysis of a patient with dyskeratosis congenita]. | 2000 | 1 |
| 13 | 1999 | 4 | |
| 14 | 1998 | 5 | |
| 15 | [Neutropenia in patient with X-linked hyper-IgM syndrome]. | 1995 | 3 |
| 16 | 1994 | 19 | |
| 17 | 1993 | 1 | |
| 18 | 1991 | 29 | |
| 19 | Responses to granulocyte colony-stimulating factor (G-CSF) and granulocyte-macrophage CSF in Ph1-positive acute lymphoblastic leukemia with myeloid surface markers. | 1991 | 31 |
| 20 | [Chemotherapy of hepatocellular carcinoma--with special reference to one-shot intra-arterial infusion of a high dose of adriamycin]. | 1982 | 4 |
About Nobuaki Adachi
Nobuaki Adachi is a scholar working on Aging, Hematology and Immunology, having authored 20 papers that have together received 574 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (5 papers), Cancer-related gene regulation (4 papers), T-cell and Retrovirus Studies (3 papers), Neutropenia and Cancer Infections (3 papers), Genomics and Chromatin Dynamics (3 papers), DNA Repair Mechanisms (2 papers) and Chromatin Remodeling and Cancer (2 papers). The work is most often cited by research in Hematology (118 citations), Molecular Biology (409 citations) and Immunology (96 citations). Nobuaki Adachi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takashi Kuzuhara, Tsubasa Munakata, Masami Horikoshi, Daisuke Honma, Kensei Tobinai, Kazushi Araki, Kunihiro Tsukasaki, Issay Kitabayashi, Takuo Katsumoto and Atae Utsunomiya. Their work appears in journals such as Journal of Biological Chemistry, Blood and British Journal of Cancer.
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.