Kaoru Sakabe

1.3k citations
12 papers · 1.1k · h-index 9

Impact in

  • Immunology top 10%
    • Galectins and Cancer Biology
    • Glycosylation and Glycoproteins Research
    • Ubiquitin and proteasome pathways
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Genomics and Chromatin Dynamics

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Melanoma and MAPK Pathways 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Carbohydrate Chemistry and Synthesis 3

Kaoru Sakabe

11 papers receiving 1.1k citations

Peers

Kaoru Sakabe
Comparison fields: 5 of 67
  • Immunology 325
  • Molecular Biology 1.0k
  • Organic Chemistry 389
  • Cell Biology 89
  • Oncology 100
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Citations per year

Countries citing papers authored by Kaoru Sakabe

Since Specialization
Citations

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

Fields of papers citing papers by Kaoru Sakabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2010289
2 2010276
3 2008138
4 2010116
5 2002106
6 200374
7 201559
8
Variants of the human prostate LNCaP cell line as tools to study discrete components of the androgen-mediated proliferative response.
199536
9 200125
10
Hormone and immune response, with special reference to steroid hormone 1. A short review.
19905
11
Hormonal events surrounding spontaneous onset of puberty in female rats.
19891
12 20190

About Kaoru Sakabe

Kaoru Sakabe is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Pediatrics, Perinatology and Child Health and Oncology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Galectins and Cancer Biology (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Melanoma and MAPK Pathways (2 papers), Cancer-related Molecular Pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Birth, Development, and Health (2 papers) and Estrogen and related hormone effects (1 paper). The work is most often cited by research in Immunology (325 citations), Molecular Biology (1.0k citations), Organic Chemistry (389 citations), Cell Biology (89 citations) and Oncology (100 citations). Kaoru Sakabe has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Gerald W. Hart, Zihao Wang, Win D. Cheung, Jeffrey Shabanowitz, Chad Slawson, Philip D. Compton, Donald F. Hunt, Zihao Wang, Namrata D. Udeshi and Wagner B. Dias. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Current Opinion in Chemical Biology, Proceedings of the National Academy of Sciences and FEBS Letters.

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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