Ayako Arai
Impact in
- Hematology top 2%
- Oncology top 2%
- Viral-associated cancers and disorders
- Cytokine Signaling Pathways and Interactions
Papers in
- Oncology 56
- Viral-associated cancers and disorders 44
- Cytokine Signaling Pathways and Interactions 8
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- Lymphoma Diagnosis and Treatment 41
- Co-authors
- Osamu Miura (62 shared papers)Nobuyuki Miyasaka (9 shared papers)Ken‐Ichi Imadome (30 shared papers)Yurika Nosaka (6 shared papers)Shigeyoshi Fujiwara (18 shared papers)Hiroshi Takase (11 shared papers)Eiichiro Kanda (5 shared papers)Manabu Mochizuki (8 shared papers)
- Journals
- International Journal of Hematology (14 papers)Blood (11 papers)Biochemical and Biophysical Research Communications (5 papers)Cancer Science (4 papers)Oncogene (3 papers)
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Ayako Arai
104 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 93
- Hematology 417
- Oncology 852
- Pathology and Forensic Medicine 515
- Immunology 534
- Genetics 248
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-authors
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
Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 144 | |
| 2 | 1999 | 82 | |
| 3 | 2009 | 80 | |
| 4 | 1994 | 74 | |
| 5 | 1994 | 73 | |
| 6 | 2001 | 67 | |
| 7 | 2019 | 61 | |
| 8 | 2014 | 60 | |
| 9 | 2008 | 58 | |
| 10 | 2020 | 57 | |
| 11 | 2016 | 55 | |
| 12 | 2018 | 53 | |
| 13 | 2011 | 51 | |
| 14 | 1999 | 49 | |
| 15 | 2017 | 47 | |
| 16 | 2006 | 44 | |
| 17 | 1997 | 44 | |
| 18 | 2005 | 42 | |
| 19 | 2002 | 41 | |
| 20 | 2011 | 38 |
About Ayako Arai
Ayako Arai is a scholar working on Oncology, Pathology and Forensic Medicine, Immunology, Hematology and Molecular Biology, having authored 109 papers that have together received 2.1k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (44 papers), Lymphoma Diagnosis and Treatment (41 papers), Immune Cell Function and Interaction (19 papers), Eosinophilic Disorders and Syndromes (17 papers), CNS Lymphoma Diagnosis and Treatment (14 papers), Protein Kinase Regulation and GTPase Signaling (9 papers), Chronic Lymphocytic Leukemia Research (9 papers) and Cytokine Signaling Pathways and Interactions (8 papers). The work is most often cited by research in Hematology (417 citations), Oncology (852 citations), Pathology and Forensic Medicine (515 citations), Immunology (534 citations) and Genetics (248 citations). Ayako Arai has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Osamu Miura, Nobuyuki Miyasaka, Ken‐Ichi Imadome, Yurika Nosaka, Shigeyoshi Fujiwara, Hiroshi Takase, Eiichiro Kanda, 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 Oncogene.
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.