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.
Development of a novel form of an oral 5-fluorouracil derivative (S-1) directed to the potentiation of the tumor selective cytotoxicity of 5-fluorouracil by two biochemical modulators
1996707 citationsTetsuhiko Shirasaka, Hideyuki Ohshimo et al.Anti-Cancer Drugsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Hideyuki Ohshimo
Since
Specialization
Citations
This map shows the geographic impact of Hideyuki Ohshimo'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 Hideyuki Ohshimo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyuki Ohshimo more than expected).
Fields of papers citing papers by Hideyuki Ohshimo
This network shows the impact of papers produced by Hideyuki Ohshimo. 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 Hideyuki Ohshimo. The network helps show where Hideyuki Ohshimo may publish in the future.
Co-authorship network of co-authors of Hideyuki Ohshimo
This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Ohshimo.
A scholar is included among the top collaborators of Hideyuki Ohshimo 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 Hideyuki Ohshimo. Hideyuki Ohshimo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Nukatsuka, Mamoru, Akio Fujioka, Fumio Nakagawa, Hideyuki Ohshimo, & Masakazu Fukushima. (2002). [Antimetastatic and antitumor effects of fluoropyrimidines alone and combined with taxanes in a murine model of breast cancer metastatic to the lung].. PubMed. 29(1). 95–101.4 indexed citations
Kato, Toshiyuki, Yuji Shimamoto, Junji Uchida, et al.. (2001). Possible regulation of 5-fluorouracil-induced neuro- and oral toxicities by two biochemical modulators consisting of S-1, a new oral formulation of 5-fluorouracil.. PubMed. 21(3B). 1705–12.32 indexed citations
Kurihara, M, et al.. (1997). Effect of combination therapy with UFT plus cisplatin (UFTP) on the survival of mice in the experimental model for wide-spread metastasis in the peritoneal cavity of gastrointestinal cancer using colon 26 PMF-15 cells.. PubMed. 17(3C). 2217–20.3 indexed citations
12.
Shirasaka, Tetsuhiko, Hideyuki Ohshimo, Masahiro Yamaguchi, et al.. (1996). Development of a novel form of an oral 5-fluorouracil derivative (S-1) directed to the potentiation of the tumor selective cytotoxicity of 5-fluorouracil by two biochemical modulators. Anti-Cancer Drugs. 7(5). 548–557.707 indexed citations breakdown →
Shirasaka, Tetsuhiko, Yuji Shimamoto, Hideyuki Ohshimo, Akiko Kimura, & M Fukushima. (1991). [Mechanism for synergistic antitumor effect in the combination of 5-fluorouracil with cisplatin in vivo tumor models: from the view of biochemical modulation of 5-fluorouracil].. PubMed. 18(3). 403–9.12 indexed citations
15.
Shirasaka, Tetsuhiko, M Fukushima, Yuji Shimamoto, et al.. (1990). [Metabolic characteristics and antitumor activity of BOF-A2, a new 5-fluorouracil derivative].. PubMed. 17(5). 1051–8.5 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.