Ayako Arai

3.1k citations
107 papers · 2.1k indexed · h-index 28

Ayako Arai

101 papers receiving 2.0k citations

Peers

Ayako Arai
Comparison fields: 5 of 97
  • Hematology 441
  • Pathology and Forensic Medicine 633
  • Oncology 955
  • Immunology 578
  • Genetics 269
Replace Terri L. Towers with:
Terri L. Towers United States
Kevin T. McDonagh United States
Todd W. Kelley United States
Endi Wang United States
Barbara Bigerna Italy
Mamiko Sakata‐Yanagimoto Japan
Anne Tierens Norway
Hirohiko Shibayama Japan
Ruth I. Brezinschek United States
Carol A. Westbrook United States
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Citations per field
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Terri L. Towers · 1×
Citations per year

Countries citing papers authored by Ayako Arai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ayako Arai Line = papers co-authored together Ayako Arai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20242
5 202226
6 202053
7 201910
8 20196
9 201747
10 201617
11
Postgraduate education of traditional Japanese (Kampo) medicine: a current survey on the training hospitals in Kanagawa prefecture.
20142
12 20108
13 20098
14 200823
15 20074
16 200626
17 200526
18 200241
19 200167
20 199949

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.

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2026