Yuri Kawasaki

1.0k total citations
18 papers, 698 citations indexed

About

Yuri Kawasaki is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Yuri Kawasaki has authored 18 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Molecular Biology and 3 papers in Physiology. Recurrent topics in Yuri Kawasaki's work include Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers) and interferon and immune responses (3 papers). Yuri Kawasaki is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), Immune Cell Function and Interaction (4 papers) and interferon and immune responses (3 papers). Yuri Kawasaki collaborates with scholars based in Japan, United States and Thailand. Yuri Kawasaki's co-authors include Takashi Nakayama, Kunio Hieshima, Osamu Yoshie, Hitoshi Hanamoto, Akihisa Kanamaru, Daisuke Nagakubo, Katsumi Doh‐ura, Haruo Ohtani, Mitsuru Shiota and Takuya Saito and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Journal of Virology.

In The Last Decade

Yuri Kawasaki

18 papers receiving 688 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yuri Kawasaki Japan 10 390 276 118 79 75 18 698
Meg Mathies United Kingdom 6 569 1.5× 182 0.7× 86 0.7× 35 0.4× 28 0.4× 7 894
Jennifer F. A. Swisher United States 7 246 0.6× 220 0.8× 61 0.5× 37 0.5× 40 0.5× 7 560
N Borregaard Denmark 8 289 0.7× 272 1.0× 45 0.4× 108 1.4× 53 0.7× 10 644
Ida H. Hiemstra Netherlands 16 390 1.0× 193 0.7× 324 2.7× 31 0.4× 32 0.4× 29 846
Estelle Merck Switzerland 10 828 2.1× 404 1.5× 147 1.2× 28 0.4× 77 1.0× 16 1.2k
Bryan S. Clay United States 15 619 1.6× 144 0.5× 100 0.8× 211 2.7× 13 0.2× 21 922
Konstantin Neumann Germany 13 488 1.3× 300 1.1× 63 0.5× 38 0.5× 44 0.6× 21 824
Mihaela S. Kojouharova Bulgaria 13 705 1.8× 274 1.0× 25 0.2× 121 1.5× 43 0.6× 17 998
Padmasini Kumar United States 16 717 1.8× 516 1.9× 492 4.2× 84 1.1× 99 1.3× 27 1.3k
T J Fleming United States 10 533 1.4× 262 0.9× 106 0.9× 70 0.9× 26 0.3× 10 865

Countries citing papers authored by Yuri Kawasaki

Since Specialization
Citations

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

Fields of papers citing papers by Yuri Kawasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuri Kawasaki

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

All Works

18 of 18 papers shown
1.
Morizane, Asuka, Takero Shindo, Takayuki Anazawa, et al.. (2025). Control of immune response in an iPSC-based allogeneic cell therapy clinical trial for Parkinson’s disease. Cell stem cell. 32(9). 1346–1355.e3. 1 indexed citations
2.
Kitagawa, Yohko, Yuri Kawasaki, Yuichi Yamasaki, et al.. (2021). Anti-TNF treatment corrects IFN-γ–dependent proinflammatory signatures in Blau syndrome patient–derived macrophages. Journal of Allergy and Clinical Immunology. 149(1). 176–188.e7. 11 indexed citations
3.
Ohta, Akira, Akira Niwa, Yuri Kawasaki, et al.. (2020). Pluripotent stem cell-based screening identifies CUDC-907 as an effective compound for restoring the in vitro phenotype of Nakajo-Nishimura syndrome. Stem Cells Translational Medicine. 10(3). 455–464. 7 indexed citations
4.
Ono, Hiroaki, Ryo Ohta, Yuri Kawasaki, et al.. (2018). Lysosomal membrane permeabilization causes secretion of IL-1β in human vascular smooth muscle cells. Inflammation Research. 67(10). 879–889. 12 indexed citations
5.
Niwa, Akira, Norikazu Saiki, Yuri Kawasaki, et al.. (2018). Pluripotent Stem Cell Model of Nakajo-Nishimura Syndrome Untangles Proinflammatory Pathways Mediated by Oxidative Stress. Stem Cell Reports. 10(6). 1835–1850. 24 indexed citations
6.
Takada, Sanami, Naotomo Kambe, Yuri Kawasaki, et al.. (2017). Pluripotent stem cell models of Blau syndrome reveal an IFN-γ–dependent inflammatory response in macrophages. Journal of Allergy and Clinical Immunology. 141(1). 339–349.e11. 41 indexed citations
7.
Tanaka, Michihiro, Shin‐ichiro Kitajiri, Tomoko Kita, et al.. (2017). Microarray analyses of otospheres derived from the cochlea in the inner ear identify putative transcription factors that regulate the characteristics of otospheres. PLoS ONE. 12(6). e0179901–e0179901. 2 indexed citations
8.
Kawasaki, Yuri, Hirotsugu Oda, Jun Ito, et al.. (2016). Identification of a High‐Frequency Somatic NLRC4 Mutation as a Cause of Autoinflammation by Pluripotent Cell–Based Phenotype Dissection. Arthritis & Rheumatology. 69(2). 447–459. 86 indexed citations
9.
Kato, Maiko, Sachiyo Tsuji-Kawahara, Yuri Kawasaki, et al.. (2014). Class Switch Recombination and Somatic Hypermutation of Virus-Neutralizing Antibodies Are Not Essential for Control of Friend Retrovirus Infection. Journal of Virology. 89(2). 1468–1473. 8 indexed citations
10.
Takamura, Shiki, Eiji Kajiwara, Sachiyo Tsuji-Kawahara, et al.. (2014). Infection of Adult Thymus with Murine Retrovirus Induces Virus-Specific Central Tolerance That Prevents Functional Memory CD8+ T Cell Differentiation. PLoS Pathogens. 10(3). e1003937–e1003937. 5 indexed citations
11.
12.
Hayashi, Tsuyoshi, Kridsada Chaichoune, Yasuaki Hiromoto, et al.. (2011). Differential host gene responses in mice infected with two highly pathogenic avian influenza viruses of subtype H5N1 isolated from wild birds in Thailand. Virology. 412(1). 9–18. 10 indexed citations
13.
Doh‐ura, Katsumi, et al.. (2007). Prophylactic Effect of Dietary Seaweed Fucoidan against Enteral Prion Infection. Antimicrobial Agents and Chemotherapy. 51(6). 2274–2277. 26 indexed citations
14.
15.
Miyatake, Nobuyuki, et al.. (2005). Comparison of air displacement plethysmograph and bioelectrical impedance for assessing body composition changes during weight loss in Japanese women. Diabetes Obesity and Metabolism. 7(3). 268–272. 6 indexed citations
16.
Hieshima, Kunio, Yuri Kawasaki, Hitoshi Hanamoto, et al.. (2004). CC Chemokine Ligands 25 and 28 Play Essential Roles in Intestinal Extravasation of IgA Antibody-Secreting Cells. The Journal of Immunology. 173(6). 3668–3675. 162 indexed citations
17.
Hieshima, Kunio, Haruo Ohtani, Michiko Shibano, et al.. (2003). CCL28 Has Dual Roles in Mucosal Immunity as a Chemokine with Broad-Spectrum Antimicrobial Activity. The Journal of Immunology. 170(3). 1452–1461. 202 indexed citations
18.
Hirano, Mayumi, et al.. (1974). [Vibration of the vocal cord with polyp--an ultra high speed cinematographic study].. PubMed. 77(8). 593–610. 2 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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