Chiya Kosaka

862 citations
28 papers · 779 · h-index 16

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 5
    • Signaling Pathways in Disease 2
    • Melanoma and MAPK Pathways 2
    • Cancer-related Molecular Pathways 5

Chiya Kosaka

28 papers receiving 759 citations

Peers

Chiya Kosaka
Comparison fields: 5 of 86
  • Cancer Research 126
  • Molecular Biology 488
  • Cell Biology 113
  • Immunology 129
  • Biochemistry 43
Replace Yasuo Fukumoto with:
Yasuo Fukumoto Japan
Simone Clamens France
Elizabeth M. Sale United Kingdom
Virginia Novaro Argentina
William Newsome Germany
Masafumi Takata Japan
Kim Brewer United States
Anja Krones‐Herzig Germany
Yoji Taba Japan
Frédéric Bonino France
Chiya Kosaka relative to Yasuo Fukumoto Japan Yasuo Fukumoto's profile →
Citations per field
00.5×3.8×
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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997141
2 199691
3 199365
4 199653
5 200151
6 200044
7 199232
8 199232
9 199929
10 200128
11 200025
12 199223
13 199922
14 199321
15 199721
16 198720
17 199815
18 199412
19 199412
20 200011

About Chiya Kosaka

Chiya Kosaka is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Physiology, having authored 28 papers that have together received 779 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Cellular Mechanics and Interactions (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Signaling Pathways in Disease (2 papers), Melanoma and MAPK Pathways (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Cancer Research (126 citations), Molecular Biology (488 citations), Cell Biology (113 citations), Immunology (129 citations) and Biochemistry (43 citations). Chiya Kosaka has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Toshiyuki Sasaguri, Jun Ogata, Akio Ishida, Hiroshi Nojima, Junichi Masuda, Kentaro Shimokado, Yutaka Komiyama, Tasuku Yokota, Catherine J. Pears and Hakuo Takahashi. Their work appears in journals such as Annals of the New York Academy of Sciences, Hypertension Research, Experimental Cell Research, Journal of Biological Chemistry and American Journal of Physiology-Cell Physiology.

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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