Ayako Arai
- Hematology top 2%
- Autoimmune and Inflammatory Disorders Research 8
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- Lymphoma Diagnosis and Treatment 44
- Oncology top 5%
- Viral-associated cancers and disorders 45
- Immunology top 5%
- Immune Cell Function and Interaction 19
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 10
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- Eosinophilic Disorders and Syndromes 17
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- CNS Lymphoma Diagnosis and Treatment 15
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- Protein Kinase Regulation and GTPase Signaling 9
- Co-authors
- Osamu MiuraNobuyuki MiyasakaYurika NosakaKen‐Ichi ImadomeShigeyoshi FujiwaraEiichiro KandaHiroshi TakaseManabu Mochizuki
- Journals
- International Journal of Hematology (14 papers)Blood (11 papers)Biochemical and Biophysical Research Communications (5 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Ayako Arai
101 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 97
- Hematology 441
- Pathology and Forensic Medicine 633
- Oncology 955
- Immunology 578
- Genetics 269
Countries citing papers authored by Ayako Arai
This map shows the geographic impact of Ayako Arai'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 Ayako Arai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayako Arai more than expected).
Fields of papers citing papers by Ayako Arai
This network shows the impact of papers produced by Ayako Arai. 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 Ayako Arai. The network helps show where Ayako Arai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ayako Arai, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2022 | 26 | |
| 6 | 2020 | 53 | |
| 7 | 2019 | 10 | |
| 8 | 2019 | 6 | |
| 9 | 2017 | 47 | |
| 10 | 2016 | 17 | |
| 11 | Postgraduate education of traditional Japanese (Kampo) medicine: a current survey on the training hospitals in Kanagawa prefecture. | 2014 | 2 |
| 12 | 2010 | 8 | |
| 13 | 2009 | 8 | |
| 14 | 2008 | 23 | |
| 15 | 2007 | 4 | |
| 16 | 2006 | 26 | |
| 17 | 2005 | 26 | |
| 18 | 2002 | 41 | |
| 19 | 2001 | 67 | |
| 20 | 1999 | 49 |
About Ayako Arai
Ayako Arai is a scholar working on Pathology and Forensic Medicine, Oncology, Hematology, Immunology and Rheumatology, having authored 107 papers that have together received 2.1k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (45 papers), Lymphoma Diagnosis and Treatment (44 papers), Immune Cell Function and Interaction (19 papers), Eosinophilic Disorders and Syndromes (17 papers), CNS Lymphoma Diagnosis and Treatment (15 papers), Chronic Lymphocytic Leukemia Research (10 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Autoimmune and Inflammatory Disorders Research (8 papers). The work is most often cited by research in Hematology (441 citations), Pathology and Forensic Medicine (633 citations), Oncology (955 citations), Immunology (578 citations) and Genetics (269 citations). Ayako Arai has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Osamu Miura, Nobuyuki Miyasaka, Yurika Nosaka, Ken‐Ichi Imadome, Shigeyoshi Fujiwara, Eiichiro Kanda, Hiroshi Takase, Manabu Mochizuki, Ryuichi Kamiyama and Mayumi Yoshimori. Their work appears in journals such as International Journal of Hematology, Blood, Biochemical and Biophysical Research Communications, Cancer Science and Journal of Biological Chemistry.
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.