Nobuyoshi Arima
- Immunology top 2%
- Immune Cell Function and Interaction 21
- T-cell and Retrovirus Studies 15
- T-cell and B-cell Immunology 10
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation 8
- Acute Myeloid Leukemia Research 7
- Genetics top 5%
- Agronomy and Crop Science top 5%
- Oncology top 10%
- Viral-associated cancers and disorders 8
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- Lymphoma Diagnosis and Treatment 11
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- Vector-Borne Animal Diseases 8
- Co-authors
- Yasuyuki SasaguriAkihide TanimotoKaoru OnoueMitsuru TsudoT TeranishiT HiranoTetsuo HamadaWilliam A. Kuziel
- Cited by
- ImmunologyHematologyGenetics
- Journals
- International Journal of Hematology (9 papers)Blood (6 papers)The Journal of Immunology (5 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Nobuyoshi Arima
83 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 90
- Immunology 979
- Hematology 409
- Genetics 221
- Agronomy and Crop Science 196
- Oncology 421
Countries citing papers authored by Nobuyoshi Arima
This map shows the geographic impact of Nobuyoshi Arima'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 Nobuyoshi Arima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuyoshi Arima more than expected).
Fields of papers citing papers by Nobuyoshi Arima
This network shows the impact of papers produced by Nobuyoshi Arima. 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 Nobuyoshi Arima. The network helps show where Nobuyoshi Arima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nobuyoshi Arima, 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 | 2024 | 2 | |
| 2 | 2019 | 12 | |
| 3 | 2019 | 1 | |
| 4 | 2017 | 14 | |
| 5 | 2016 | 38 | |
| 6 | 2015 | 11 | |
| 7 | 2014 | 29 | |
| 8 | 2014 | 45 | |
| 9 | Liposomes and nanotechnology in drug development: focus on oncotargets | 2012 | 2 |
| 10 | 2011 | 12 | |
| 11 | 2009 | 8 | |
| 12 | 2005 | 6 | |
| 13 | 2003 | 25 | |
| 14 | 1999 | 1 | |
| 15 | 1997 | 66 | |
| 16 | 1995 | 7 | |
| 17 | Immunogenetic factors involved in the pathogenesis of adult T-cell leukemia and HTLV-I-associated myelopathy | 1992 | 18 |
| 18 | 1992 | 81 | |
| 19 | 1992 | 3 | |
| 20 | 1990 | 33 |
About Nobuyoshi Arima
Nobuyoshi Arima is a scholar working on Hematology, Immunology and Genetics, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (21 papers), T-cell and Retrovirus Studies (15 papers), Lymphoma Diagnosis and Treatment (11 papers), T-cell and B-cell Immunology (10 papers), Viral-associated cancers and disorders (8 papers), Hematopoietic Stem Cell Transplantation (8 papers), Vector-Borne Animal Diseases (8 papers) and Acute Myeloid Leukemia Research (7 papers). The work is most often cited by research in Immunology (979 citations), Hematology (409 citations) and Genetics (221 citations). Nobuyoshi Arima has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Yasuyuki Sasaguri, Akihide Tanimoto, Kaoru Onoue, Mitsuru Tsudo, T Teranishi, T Hirano, Tetsuo Hamada, William A. Kuziel, Takakazu Sasaguri and Kazuyuki Matsushita. Their work appears in journals such as International Journal of Hematology, Blood, The Journal of Immunology, Biology of Blood and Marrow Transplantation and British Journal of Haematology.
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.