Ichiro Maeda

73 papers receiving 1.6k citations

Peers

Ichiro Maeda
Comparison fields: 5 of 93
  • Cancer Research 239
  • Pathology and Forensic Medicine 234
  • Oncology 315
  • Molecular Biology 752
  • Genetics 286
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Qinghua Cao China
Heather E Dawson Switzerland
In Hye Song South Korea
Xiaomao Guo China
Michael Allgäeuer Germany
Eileen Eng Jia Lin United States
Sounak Gupta United States
Soili I. Kytölä Finland
Edwin Roger Parra United States
Laura J. Tafe United States
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Citations per field
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Citations per year

Countries citing papers authored by Ichiro Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Ichiro Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001542
2 2019104
3 201574
4 199566
5
Preoperative diagnosis of thyroid papillary and anaplastic carcinomas by real-time quantitative reverse transcription-polymerase chain reaction of oncofetal fibronectin messenger RNA.
199963
6 201057
7 201549
8 201548
9 201844
10 201742
11 201541
12 202141
13 199940
14 201529
15 200529
16 201326
17 201225
18 200125
19 199723
20 201522

About Ichiro Maeda

Ichiro Maeda is a scholar working on Pathology and Forensic Medicine, Hepatology, Oncology, Dermatology and Cancer Research, having authored 80 papers that have together received 1.7k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Salivary Gland Tumors Diagnosis and Treatment (7 papers), Cancer and Skin Lesions (7 papers), Breast Cancer Treatment Studies (5 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Epigenetics and DNA Methylation (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Cancer Research (239 citations), Pathology and Forensic Medicine (234 citations), Oncology (315 citations), Molecular Biology (752 citations) and Genetics (286 citations). Ichiro Maeda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tomohiko Ohta, Mamoru Fukuda, Yukari Yabuki, Haruki Ogata, Rintaro Hashizume, Daisuke Oyake, Hiroyuki Nishikawa, Yasuo Nakajima, Yoshihide Kanemaki and Koichiro Tsugawa. Their work appears in journals such as Pathology International, Breast Cancer, American Journal of Roentgenology, Transplant International and Acta Radiologica.

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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