Aiko Sueta

2.6k citations
45 papers · 947 · h-index 18

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
    • Breast Cancer Treatment Studies
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis

Papers in

    • HER2/EGFR in Cancer Research 8
    • Cancer Risks and Factors 5
    • Cancer Genomics and Diagnostics 9
    • Breast Cancer Treatment Studies 6
    • MicroRNA in disease regulation 4

Aiko Sueta

45 papers receiving 939 citations

Peers

Aiko Sueta
Comparison fields: 5 of 72
  • Cancer Research 487
  • Oncology 340
  • Molecular Biology 455
  • Pathology and Forensic Medicine 104
  • Pulmonary and Respiratory Medicine 185
Replace Peter Sabatini with:
Peter Sabatini Canada
Mutsuko Yamamoto‐Ibusuki Japan
Saori Fujiwara Japan
Giovanni Allevi Italy
Atsushi Shimomura Japan
Erika Mehl Canada
Samira Majjaj Belgium
M R Emmert-Buck United States
Barbara Dunne United Kingdom
Yasuyo Ohi Japan
Aiko Sueta relative to Peter Sabatini Canada Peter Sabatini's profile →
Citations per field
00.5×6.5×
Peter Sabatini · 1×
Citations per year

Countries citing papers authored by Aiko Sueta

Since Specialization
Citations

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

Fields of papers citing papers by Aiko Sueta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017106
2 201175
3 201469
4 201556
5 201552
6 201552
7 201647
8 201746
9 201445
10 201638
11 201734
12 201731
13 201230
14 202128
15 201425
16 201423
17 201821
18 201419
19 201516
20 201715

About Aiko Sueta

Aiko Sueta is a scholar working on Oncology, Cancer Research, Molecular Biology, Genetics and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 947 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), HER2/EGFR in Cancer Research (8 papers), BRCA gene mutations in cancer (8 papers), Estrogen and related hormone effects (8 papers), Breast Cancer Treatment Studies (6 papers), Cancer Risks and Factors (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (487 citations), Oncology (340 citations), Molecular Biology (455 citations), Pathology and Forensic Medicine (104 citations) and Pulmonary and Respiratory Medicine (185 citations). Aiko Sueta has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Hirotaka Iwase, Yutaka Yamamoto, Mutsuko Yamamoto‐Ibusuki, Takashi Takeshita, Mai Tomiguchi, Saori Fujiwara, Yoko Omoto, Mitsuhiro Hayashi, Keiichi Murakami and Satoko Yamamoto. Their work appears in journals such as Oncotarget, Cancer Research, Breast Cancer, Breast Cancer Research and Treatment and SpringerPlus.

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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