Yuko Saeki

470 total citations
10 papers, 339 citations indexed

About

Yuko Saeki is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yuko Saeki has authored 10 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Immunology. Recurrent topics in Yuko Saeki's work include HER2/EGFR in Cancer Research (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Yuko Saeki is often cited by papers focused on HER2/EGFR in Cancer Research (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). Yuko Saeki collaborates with scholars based in Japan, Taiwan and Ireland. Yuko Saeki's co-authors include Mariko Okada, Takeshi Nagashima, Noriko Yumoto, Kaori Ide, Boris Ν. Kholodenko, Takashi Nakakuki, Babatunde A. Ogunnaike, Lutz Brusch, Marc R. Birtwistle and Michio Hiroshima and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and BMC Genomics.

In The Last Decade

Yuko Saeki

9 papers receiving 335 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuko Saeki Japan 8 278 48 43 35 27 10 339
Kazunari Iwamoto Japan 11 262 0.9× 80 1.7× 26 0.6× 49 1.4× 16 0.6× 16 396
Franziska Witzel Germany 8 395 1.4× 83 1.7× 32 0.7× 46 1.3× 62 2.3× 10 507
Betina Kerstin Lundholt Denmark 10 251 0.9× 84 1.8× 68 1.6× 25 0.7× 45 1.7× 13 421
Oleksii S. Rukhlenko Ireland 12 294 1.1× 50 1.0× 32 0.7× 65 1.9× 58 2.1× 25 426
Thomas Schroeter United States 7 279 1.0× 49 1.0× 29 0.7× 122 3.5× 42 1.6× 10 422
Tae Jun Lee United States 6 399 1.4× 98 2.0× 38 0.9× 107 3.1× 15 0.6× 15 530
Marvin Thielert Germany 9 523 1.9× 45 0.9× 65 1.5× 36 1.0× 9 0.3× 15 664
James Longden Denmark 10 191 0.7× 55 1.1× 10 0.2× 23 0.7× 24 0.9× 14 315
Christopher Martin United States 7 394 1.4× 47 1.0× 18 0.4× 54 1.5× 23 0.9× 9 486
Timothy G. Curran United States 7 247 0.9× 32 0.7× 13 0.3× 33 0.9× 15 0.6× 8 298

Countries citing papers authored by Yuko Saeki

Since Specialization
Citations

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

Fields of papers citing papers by Yuko Saeki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuko Saeki

This figure shows the co-authorship network connecting the top 25 collaborators of Yuko Saeki. A scholar is included among the top collaborators of Yuko Saeki 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 Yuko Saeki. Yuko Saeki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Nagata, Tomoko, et al.. (2022). Enzootic bovine leukosis with cauda equina syndrome in a Japanese Black cow. 13(1). 15–20.
2.
Nagashima, Takeshi, Noriko Yumoto, Yuko Saeki, et al.. (2014). Feedforward regulation of mRNA stability by prolonged extracellular signal‐regulated kinase activity. FEBS Journal. 282(4). 613–629. 14 indexed citations
3.
Saeki, Yuko, Takeshi Nagashima, Shuhei Kimura, & Mariko Okada. (2012). An ErbB receptor–mediated AP‐1 regulatory network is modulated by STAT3 and c‐MYC during calcium‐dependent keratinocyte differentiation. Experimental Dermatology. 21(4). 293–298. 12 indexed citations
4.
Hiroshima, Michio, Yuko Saeki, Mariko Okada, & Yasushi Sako. (2012). Dynamically varying interactions between heregulin and ErbB proteins detected by single-molecule analysis in living cells. Proceedings of the National Academy of Sciences. 109(35). 13984–13989. 35 indexed citations
5.
Nagashima, Takeshi, Yuko Saeki, Takashi Nakakuki, et al.. (2011). Epidermal growth factor receptor mutation in combination with expression of MIG6 alters gefitinib sensitivity. BMC Systems Biology. 5(1). 29–29. 7 indexed citations
6.
Nakakuki, Takashi, Marc R. Birtwistle, Yuko Saeki, et al.. (2010). Ligand-Specific c-Fos Expression Emerges from the Spatiotemporal Control of ErbB Network Dynamics. Cell. 141(5). 884–896. 181 indexed citations
7.
Saeki, Yuko, Takaho A. Endo, Kaori Ide, et al.. (2009). Ligand-specific sequential regulation of transcription factors for differentiation of MCF-7 cells. BMC Genomics. 10(1). 545–545. 39 indexed citations
8.
Nagashima, Takeshi, Atsushi Suenaga, Kaori Ide, et al.. (2009). Mutation of epidermal growth factor receptor is associated with MIG6 expression. FEBS Journal. 276(18). 5239–5251. 23 indexed citations
9.
Yamamoto, Takuya, et al.. (2008). Effect of RNA interference of tight junction-related molecules on intercellular barrier function in cultured human keratinocytes. Archives of Dermatological Research. 300(9). 517–524. 25 indexed citations
10.

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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