Chiya Kosaka

841 citations
27 papers · 758 · h-index 16

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 5
    • Ubiquitin and proteasome pathways 2
    • Ion Transport and Channel Regulation 2
    • Cancer-related Molecular Pathways 5

Chiya Kosaka

27 papers receiving 738 citations

Peers

Chiya Kosaka
Comparison fields: 5 of 81
  • Cancer Research 114
  • Molecular Biology 454
  • Cell Biology 103
  • Oncology 140
  • Biochemistry 39
Replace Yasuo Fukumoto with:
Yasuo Fukumoto Japan
Elizabeth M. Sale United Kingdom
William Newsome Germany
Wenyi Che United States
Simone Clamens France
Masafumi Takata Japan
Frédéric Bonino France
C W Benjamin United States
Kim Brewer United States
W Hoeck Switzerland
Chiya Kosaka relative to Yasuo Fukumoto Japan Yasuo Fukumoto's profile →
Citations per field
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Yasuo Fukumoto · 1×
Citations per year

Countries citing papers authored by Chiya Kosaka

Since Specialization
Citations

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

Fields of papers citing papers by Chiya Kosaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997140
2 199691
3 199365
4 200152
5 199652
6 200044
7 199232
8 199232
9 199929
10 200128
11 200026
12 199223
13 199922
14 199321
15 199721
16 199815
17 199412
18 199412
19 200011
20 199810

About Chiya Kosaka

Chiya Kosaka is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Physiology, having authored 27 papers that have together received 758 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Cellular Mechanics and Interactions (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Ubiquitin and proteasome pathways (2 papers) and Ion Transport and Channel Regulation (2 papers). The work is most often cited by research in Cancer Research (114 citations), Molecular Biology (454 citations), Cell Biology (103 citations), Oncology (140 citations) and Biochemistry (39 citations). Chiya Kosaka has collaborated with scholars based in Japan, United Kingdom and Canada. Frequent co-authors include Toshiyuki Sasaguri, Jun Ogata, Akio Ishida, Hiroshi Nojima, Junichi Masuda, Kentaro Shimokado, Yutaka Komiyama, Tasuku Yokota, Hakuo Takahashi and Masatoshi Fujishima. Their work appears in journals such as Annals of the New York Academy of Sciences, Experimental Cell Research, Hypertension Research, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.

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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