Yuko Saeki

470 citations
10 papers · 339 · h-index 8

Impact in

  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • Gene Regulatory Network Analysis
    • Bioinformatics and Genomic Networks
    • Receptor Mechanisms and Signaling
    • Melanoma and MAPK Pathways
    • Protein Kinase Regulation and GTPase Signaling

Papers in

    • Connexins and lens biology 1
    • Bioactive natural compounds 1
    • HER2/EGFR in Cancer Research 4
    • Cytokine Signaling Pathways and Interactions 2

Yuko Saeki

9 papers receiving 335 citations

Peers

Yuko Saeki
Comparison fields: 5 of 69
  • Biophysics 43
  • Molecular Biology 278
  • Neurology 18
  • Modeling and Simulation 10
  • Cell Biology 35
Replace Tae Jun Lee with:
Tae Jun Lee United States
Franziska Witzel Germany
Kazunari Iwamoto Japan
Manuela Friedenberger Germany
Oleksii S. Rukhlenko Ireland
Junyun Cheng China
Marcus Bode Germany
François Sipieter France
Daniela Baiocchi Italy
Guillaume Harmange United States
Yuko Saeki relative to Tae Jun Lee United States Tae Jun Lee's profile →
Citations per field
00.5×1.5×
Tae Jun Lee · 1×
Citations per year

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-authors

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

All Works

10 of 10 papers shown
#Work
1 2010181
2 200939
3 201235
4 200825
5 200923
6 201414
7 201212
8 20117
9 20033
10 20220

About Yuko Saeki

Yuko Saeki is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 10 papers that have together received 339 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), interferon and immune responses (1 paper), Connexins and lens biology (1 paper), Bioactive natural compounds (1 paper), Barrier Structure and Function Studies (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Biophysics (43 citations), Molecular Biology (278 citations), Neurology (18 citations), Modeling and Simulation (10 citations) and Cell Biology (35 citations). Yuko Saeki has collaborated with scholars based in Japan, Taiwan and Ireland. Frequent co-authors include Mariko Okada, Takeshi Nagashima, Noriko Yumoto, Kaori Ide, Boris Ν. Kholodenko, Takashi Nakakuki, Babatunde A. Ogunnaike, Marc R. Birtwistle, Lutz Brusch and Michio Hiroshima. Their work appears in journals such as FEBS Journal, BMC Genomics, BMC Systems Biology, Archives of Dermatological Research and Cell.

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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