Akiko Ebata

528 citations
31 papers · 414 · h-index 13

Impact in

Papers in

Akiko Ebata

27 papers receiving 411 citations

Peers

Akiko Ebata
Comparison fields: 5 of 73
  • Cancer Research 105
  • Radiology, Nuclear Medicine and Imaging 77
  • Radiological and Ultrasound Technology 13
  • Oncology 64
  • Pulmonary and Respiratory Medicine 68
Replace Jiamei Fu with:
Jiamei Fu China
Aurélie Vaurijoux France
Zhoulei Li China
Sanyukta Runkel Germany
Sebastian Zahnreich Germany
Nicolas Ugolin France
Nicolas J. McNally United Kingdom
Dusica Cvetković United States
Élisabeth Daguenet France
F. Zywietz Germany
Akiko Ebata relative to Jiamei Fu China Jiamei Fu's profile →
Citations per field
00.5×2.6×
Jiamei Fu · 1×
Citations per year

Countries citing papers authored by Akiko Ebata

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Ebata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200881
2 201159
3 201334
4 201130
5 202123
6 201521
7
Identification of androgen-responsive microRNAs and androgen-related genes in breast cancer.
201321
8 202121
9 201718
10 201214
11 201313
12 201713
13 201213
14 201312
15 20238
16 20247
17 20215
18 20244
19 20144
20 20233

About Akiko Ebata

Akiko Ebata is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 414 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (5 papers), Estrogen and related hormone effects (4 papers), Gene expression and cancer classification (2 papers), Pneumonia and Respiratory Infections (2 papers), Radiology practices and education (2 papers), Cancer-related Molecular Pathways (2 papers), Breast Cancer Treatment Studies (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Cancer Research (105 citations), Radiology, Nuclear Medicine and Imaging (77 citations), Radiological and Ultrasound Technology (13 citations), Oncology (64 citations) and Pulmonary and Respiratory Medicine (68 citations). Akiko Ebata has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Takanori Ishida, Takashi Suzuki, Hironobu Sasano, Kiyoshi Takagi, Yasuhiro Miki, Masayuki Zuguchi, Yohei Inaba, Mika Watanabe, Satoshi Yamada and Koichi Chida. Their work appears in journals such as Cancer Science, Annals of Oncology, Hormones and Cancer, Radiation Protection Dosimetry and Journal of Clinical Oncology.

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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