Yusuke Kawase

611 total citations
20 papers, 470 citations indexed

About

Yusuke Kawase is a scholar working on Molecular Biology, Organic Chemistry and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yusuke Kawase has authored 20 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Organic Chemistry and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yusuke Kawase's work include Inorganic and Organometallic Chemistry (3 papers), Inflammasome and immune disorders (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Yusuke Kawase is often cited by papers focused on Inorganic and Organometallic Chemistry (3 papers), Inflammasome and immune disorders (3 papers) and Lung Cancer Treatments and Mutations (3 papers). Yusuke Kawase collaborates with scholars based in Japan, Netherlands and Spain. Yusuke Kawase's co-authors include Kiyoshi Yoshino, Koichi Yokota, Tomoaki Hoshino, Masaki Okamoto, Guido J.R. Zaman, Rogier C. Buijsman, Joost C.M. Uitdehaag, Jos de Man, Martine B.W. Prinsen and Shigeo Umetani and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Yusuke Kawase

20 papers receiving 459 citations

Peers

Yusuke Kawase
Julie Fuller United States
Massimo Berger Italy
Sudong Zhang China
Anlai Wang United States
Haobo Lin China
Mark G.P. Saifer United States
Daniel T. Mytych United States
F. Virzi United States
Jocelyn Wang United States
Niko Deckers Netherlands
Julie Fuller United States
Yusuke Kawase
Citations per year, relative to Yusuke Kawase Yusuke Kawase (= 1×) peers Julie Fuller

Countries citing papers authored by Yusuke Kawase

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Kawase

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Kawase

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

All Works

20 of 20 papers shown
1.
Suzuki, Mai, Ken Uchibori, Tomoko Oh‐hara, et al.. (2024). A macrocyclic kinase inhibitor overcomes triple resistant mutations in EGFR-positive lung cancer. npj Precision Oncology. 8(1). 46–46. 5 indexed citations
2.
Riel, Wilhelmina E. van, Martine B.W. Prinsen, Tessa J.J. de Bitter, et al.. (2022). Comparative kinase and cancer cell panel profiling of kinase inhibitors approved for clinical use from 2018 to 2020. Frontiers in Oncology. 12. 953013–953013. 9 indexed citations
3.
4.
Emi, Aki, et al.. (2019). Abstract C085: A new method to determine drug-target residence time of kinase inhibitors in living cells. Molecular Cancer Therapeutics. 18(12_Supplement). C085–C085. 4 indexed citations
5.
Uitdehaag, Joost C.M., Jeroen A.D.M. de Roos, Martine B.W. Prinsen, et al.. (2018). Combined Cellular and Biochemical Profiling to Identify Predictive Drug Response Biomarkers for Kinase Inhibitors Approved for Clinical Use between 2013 and 2017. Molecular Cancer Therapeutics. 18(2). 470–481. 20 indexed citations
6.
Willemsen‐Seegers, Nicole, Joost C.M. Uitdehaag, Martine B.W. Prinsen, et al.. (2016). Compound Selectivity and Target Residence Time of Kinase Inhibitors Studied with Surface Plasmon Resonance. Journal of Molecular Biology. 429(4). 574–586. 37 indexed citations
7.
Willemsen‐Seegers, Nicole, Joost C.M. Uitdehaag, Martine B.W. Prinsen, et al.. (2016). Compound selectivity and target residence time of kinase inhibitors studied with surface plasmon resonance. European Journal of Cancer. 69. S79–S79. 1 indexed citations
8.
Uitdehaag, Joost C.M., Jeroen A.D.M. de Roos, Antoon M. van Doornmalen, et al.. (2014). Comparison of the Cancer Gene Targeting and Biochemical Selectivities of All Targeted Kinase Inhibitors Approved for Clinical Use. PLoS ONE. 9(3). e92146–e92146. 78 indexed citations
9.
Uno, Yuko, Hideki Moriyama, Shigeki Kashimoto, et al.. (2013). Abstract B265: Targeting Wnt signaling: Discovery and characterization of novel thiazole-based Traf2- and NCK-interacting kinase (TNIK) inhibitors.. Molecular Cancer Therapeutics. 12(11_Supplement). B265–B265. 3 indexed citations
10.
Kawase, Yusuke, Toshihiko Fujimori, Tsutomu Itoh, et al.. (2011). Supercritical Hydrogen Adsorptivity of Amorphous Carbon Mesotubes. Adsorption Science & Technology. 29(8). 819–829. 1 indexed citations
11.
Nakasone, Chikara, Kazuyoshi Kawakami, Tomoaki Hoshino, et al.. (2004). Limited Role for Interleukin-18 in the Host Protection Response to Pulmonary Infection with Pseudomonas aeruginosa in Mice. Infection and Immunity. 72(10). 6176–6180. 3 indexed citations
12.
Kawase, Yusuke, Koichi Yokota, Yasuyuki Kirii, et al.. (2003). Exacerbated and Prolonged Allergic and Non-Allergic Inflammatory Cutaneous Reaction in Mice with Targeted Interleukin-18 Expression in the Skin. Journal of Investigative Dermatology. 121(3). 502–509. 45 indexed citations
13.
Kawase, Yusuke, Tomoaki Hoshino, Koichi Yokota, et al.. (2003). Bone Malformations in Interleukin-18 Transgenic Mice. Journal of Bone and Mineral Research. 18(6). 975–983. 28 indexed citations
14.
Kinjo, Yuki, Kazuyoshi Kawakami, Kaori Uezu, et al.. (2002). Contribution of IL-18 to Th1 Response and Host Defense Against Infection by Mycobacterium tuberculosis : A Comparative Study with IL-12p40. The Journal of Immunology. 169(1). 323–329. 71 indexed citations
15.
Hoshino, Tomoaki, Yusuke Kawase, Masaki Okamoto, et al.. (2001). Cutting Edge: IL-18-Transgenic Mice: In Vivo Evidence of a Broad Role for IL-18 in Modulating Immune Function. The Journal of Immunology. 166(12). 7014–7018. 109 indexed citations
16.
Umetani, Shigeo, et al.. (2000). Acylpyrazolone derivatives of high selectivity for lanthanide metal ions: effect of the distance between the two donating oxygens. Journal of the Chemical Society Dalton Transactions. 2787–2791. 33 indexed citations
17.
18.
Umetani, Shigeo, et al.. (1997). The Synergistic Extraction of Lanthanides with Trifluoroacetylcycloalkanones and Trioctylphosphine Oxide. Chemistry Letters. 26(8). 771–772. 3 indexed citations
19.
Kawase, Yusuke, Masako Watanabe, Suetsugu Mue, & Kazuo Ohuchi. (1994). Suppression of interleukin-1α production in human umbilical vein endothelial cells by protein kinase C activators.. The Japanese Journal of Pharmacology. 64. 145–145. 2 indexed citations
20.
Umetani, Shigeo, et al.. (1993). Improved separation in the solvent extraction of lanthanides by β-diketones through a controlled separation of the two donating oxygens. Journal of the Chemical Society Chemical Communications. 78–79. 10 indexed citations

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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