Ichiro Maeda

72 papers receiving 1.5k citations

Hit Papers

The RING Heterodimer BRCA1-BARD1 Is a Ubiquitin Ligase Inactivated by a Breast Cancer-derived Mutation 2001 · 526 citations
5260+8+16Years since publication100200300400500

Peers

Ichiro Maeda
Comparison fields: 5 of 95
  • Cancer Research 300
  • Pathology and Forensic Medicine 254
  • Oncology 355
  • Health Informatics 17
  • Hepatology 91
Replace Antonio D’Antonio with:
Antonio D’Antonio Italy
Axel Wellmann Germany
Xiaomao Guo China
Luiza Moore United Kingdom
In Hye Song South Korea
Michael Allgäuer Germany
Fuquan Zhang China
Heather Dawson Switzerland
Elena Guerini‐Rocco Italy
Sandra Lassalle France
Ichiro Maeda relative to Antonio D’Antonio Italy Antonio D’Antonio's profile →
Citations per field
00.5×4.3×
Antonio D’Antonio · 1×
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
The RING Heterodimer BRCA1-BARD1 Is a Ubiquitin Ligase Inactivated by a Breast Cancer-derived Mutation
Hit paper breakdown →
2001526
2 201988
3 201573
4 199564
5
Preoperative diagnosis of thyroid papillary and anaplastic carcinomas by real-time quantitative reverse transcription-polymerase chain reaction of oncofetal fibronectin messenger RNA.
199961
6 201053
7 201545
8 201545
9 201842
10 201740
11 201538
12 199938
13 202136
14 201528
15 200528
16 200125
17 201323
18 201222
19 201521
20 199721

About Ichiro Maeda

Ichiro Maeda is a scholar working on Pathology and Forensic Medicine, Surgery, Oncology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 80 papers that have together received 1.6k indexed citations. Recurring topics across this work include Breast Lesions and Carcinomas (20 papers), Salivary Gland Tumors Diagnosis and Treatment (10 papers), Cancer and Skin Lesions (10 papers), Breast Cancer Treatment Studies (9 papers), MRI in cancer diagnosis (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), AI in cancer detection (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Cancer Research (300 citations), Pathology and Forensic Medicine (254 citations), Oncology (355 citations), Health Informatics (17 citations) and Hepatology (91 citations). Ichiro Maeda has collaborated with scholars based in Japan, United States and Spain. Frequent co-authors include Tomohiko Ohta, Mamoru Fukuda, Yukari Yabuki, Haruki Ogata, Rintaro Hashizume, Hiroyuki Nishikawa, Daisuke Oyake, Yasuo Nakajima, Yoshihide Kanemaki and Koichiro Tsugawa. Their work appears in journals such as Pathology International, Breast Cancer, American Journal of Roentgenology, Journal of Clinical Oncology 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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