Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Sensitivity and specificity of mammography and adjunctive ultrasonography to screen for breast cancer in the Japan Strategic Anti-cancer Randomized Trial (J-START): a randomised controlled trial
2015381 citationsNoriaki Ohuchi, Akihiko Suzuki et al.The Lancetprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Akihiko Suzuki
Since
Specialization
Citations
This map shows the geographic impact of Akihiko Suzuki'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 Akihiko Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akihiko Suzuki more than expected).
This network shows the impact of papers produced by Akihiko Suzuki. 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 Akihiko Suzuki. The network helps show where Akihiko Suzuki may publish in the future.
Co-authorship network of co-authors of Akihiko Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Akihiko Suzuki.
A scholar is included among the top collaborators of Akihiko Suzuki based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Akihiko Suzuki. Akihiko Suzuki is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ohuchi, Noriaki, Akihiko Suzuki, Tomotaka Sobue, et al.. (2015). Sensitivity and specificity of mammography and adjunctive ultrasonography to screen for breast cancer in the Japan Strategic Anti-cancer Randomized Trial (J-START): a randomised controlled trial. The Lancet. 387(10016). 341–348.381 indexed citations breakdown →
Suzuki, Akihiko, et al.. (2010). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 19(1). 41–46.1 indexed citations
Suzuki, Akihiko, Toshihiko Ito, & Noriaki Ohuchi. (2009). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 18(1). 13–19.1 indexed citations
Ohuchi, Noriaki, et al.. (2008). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 17(1). 15–21.2 indexed citations
Kuriyama, Shinichi, Koji Ohnuki, Akihiko Suzuki, et al.. (2007). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 16(1). 93–98.1 indexed citations
Kuriyama, Shinichi, Koji Ohnuki, Akihiko Suzuki, et al.. (2006). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 15(1). 100–105.4 indexed citations
15.
Ohnuki, Koji, Akihiko Suzuki, Takanori Ishida, et al.. (2005). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 14(1). 19–23.1 indexed citations
Ohnuki, Koji, Takanori Ishida, Motohiro Takeda, et al.. (2004). . Nihon Nyugan Kenshin Gakkaishi (Journal of Japan Association of Breast Cancer Screening). 13(2). 176–183.1 indexed citations
18.
Suzuki, Akihiko, et al.. (1999). UTMS SYSTEM ARCHITECTURE.1 indexed citations
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.