Ayako Ichikawa

33 papers receiving 1.0k citations

Ayako Ichikawa's Hit Papers

Expression of programmed cell death ligand 1 is associated with poor overall survival in patients with diffuse large B-cell lymphoma 2015 · 376 citations
3760+3+7Years since publication100200300

Peers

Ayako Ichikawa
Comparison fields: 5 of 76
  • Pathology and Forensic Medicine 569
  • Genetics 221
  • Oncology 542
  • Immunology 197
  • Neurology 128
Replace Beatrice Casadei with:
Beatrice Casadei Italy
Lawrence D. Kaplan United States
Magid H. Amer Saudi Arabia
L. J. Swinnen United States
Chan Jeoung Park South Korea
A. Cantagrel France
Kentaro Narita Japan
J. Y. Suen United States
M. Sivakumaran United Kingdom
O. Pate United States
Ayako Ichikawa relative to Beatrice Casadei Italy Beatrice Casadei's profile →
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Citations per year

Countries citing papers authored by Ayako Ichikawa

Since Specialization
Citations

This map shows the geographic impact of Ayako Ichikawa'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 Ichikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayako Ichikawa more than expected).

Fields of papers citing papers by Ayako Ichikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ayako Ichikawa. 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 Ichikawa. The network helps show where Ayako Ichikawa may publish in the future.

Co-authors

The 25 scholars most cited alongside Ayako Ichikawa, 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 Ichikawa Line = papers co-authored together Ayako Ichikawa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Expression of programmed cell death ligand 1 is associated with poor overall survival in patients with diffuse large B-cell lymphoma
Hit paper breakdown →
2015376
2 2013209
3 201976
4 201249
5 201530
6 200330
7 201623
8 201222
9 201722
10 201620
11 200320
12 201519
13 201415
14 202315
15 201215
16 200614
17 201313
18 200711
19 201211
20 20129

About Ayako Ichikawa

Ayako Ichikawa is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Cardiology and Cardiovascular Medicine and Immunology, having authored 34 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), Viral-associated cancers and disorders (9 papers), Chronic Lymphocytic Leukemia Research (7 papers), T-cell and Retrovirus Studies (4 papers), Cardiovascular Function and Risk Factors (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Advanced Polymer Synthesis and Characterization (3 papers) and Photopolymerization techniques and applications (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (569 citations), Genetics (221 citations), Oncology (542 citations), Immunology (197 citations) and Neurology (128 citations). Ayako Ichikawa has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroaki Miyoshi, Koichi Ohshima, Fumiko Arakawa, Junichi Kiyasu, Daisuke Niino, Yasuo Sugita, Maki Yoshida, Yoshizo Kimura, Koji Nagafuji and Masanori Takeuchi. Their work appears in journals such as Pathology International, Blood, Polymer, Annals of Clinical Biochemistry International Journal of Laboratory Medicine and Cancer Science.

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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