Kei Yasuda

3.1k total citations
45 papers, 2.4k citations indexed

About

Kei Yasuda is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Kei Yasuda has authored 45 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 19 papers in Molecular Biology and 9 papers in Epidemiology. Recurrent topics in Kei Yasuda's work include Immune Response and Inflammation (16 papers), Immunotherapy and Immune Responses (11 papers) and RNA Interference and Gene Delivery (10 papers). Kei Yasuda is often cited by papers focused on Immune Response and Inflammation (16 papers), Immunotherapy and Immune Responses (11 papers) and RNA Interference and Gene Delivery (10 papers). Kei Yasuda collaborates with scholars based in United States, Japan and Germany. Kei Yasuda's co-authors include G I Bell, Terry Reisine, Ian R. Rifkin, K Raynor, Yoshinobu Takakura, Christophe Richez, Ann Marshak‐Rothstein, Yoshiyuki Ogawa, Ramon Bonegio and Samuel Law and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

Kei Yasuda

42 papers receiving 2.4k citations

Peers

Kei Yasuda

IMMUN

EPIDE

ONCOL

RHEUM

Hugh H. Reid Australia

M. Karen Newell United States

Michael D. Cleary United States

Caren Furlonger Canada

Doris Coit United States

Alain C. Tissot Switzerland

Jennifer A. Price United States

Joseph Hesselgesser United States

K Yamamura Japan

Masao Murakami Japan

Hugh H. Reid Australia

Kei Yasuda

2.0k ×1.5

IMMUN

917 ×0.8

450 ×0.9

EPIDE

479 ×1.4

ONCOL

271 ×0.9

RHEUM

Citations per year, relative to Kei Yasuda Kei Yasuda (= 1×) peers Hugh H. Reid

Countries citing papers authored by Kei Yasuda

Since Specialization

Citations

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

Fields of papers citing papers by Kei Yasuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kei Yasuda

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

All Works

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20 of 20 papers shown

Yasuda, Kei, et al.. (2025). Analysis of traffic crashes considering the field of view. IATSS Research. 49(3). 305–313.

Miura, Ken & Kei Yasuda. (2021). DISTRIBUTION CHARACTERISTICS OF RESIDENCES FOR ELDERLY PEOPLE WITH SERVICES IN GREATER TOKYO AREA BASED ON THE RESIDENTS' CARE LEVEL. Journal of Architecture and Planning (Transactions of AIJ). 86(790). 2578–2586. 1 indexed citations

Yasuda, Kei & Ken Miura. (2021). PLANNING OF SHARED SPACE IN SENIOR CITIZENS' LIVING FACILITY USING VISIBILITY ANALYSIS. Journal of Architecture and Planning (Transactions of AIJ). 86(781). 727–737. 1 indexed citations

Pellerin, Alex, Kei Yasuda, Kerstin Nündel, et al.. (2021). Monoallelic IRF5 deficiency in B cells prevents murine lupus. JCI Insight. 6(15). 21 indexed citations

Lee, Jihyung, Junyan Zhang, Young‐Jun Chung, et al.. (2020). Inhibition of IRF4 in dendritic cells by PRR-independent and -dependent signals inhibit Th2 and promote Th17 responses. eLife. 9. 27 indexed citations

Bonegio, Ramon, Jessica Lin, Britte Beaudette-Zlatanova, et al.. (2019). Lupus-Associated Immune Complexes Activate Human Neutrophils in an FcγRIIA-Dependent but TLR-Independent Response. The Journal of Immunology. 202(3). 675–683. 16 indexed citations

Choo, Min‐Kyung, Yasuyo Sano, Changhoon Kim, et al.. (2017). TLR sensing of bacterial spore-associated RNA triggers host immune responses with detrimental effects. The Journal of Experimental Medicine. 214(5). 1297–1311. 17 indexed citations

Ericson, Jeffrey, P. Duffau, Kei Yasuda, et al.. (2014). Gene Expression during the Generation and Activation of Mouse Neutrophils: Implication of Novel Functional and Regulatory Pathways. PLoS ONE. 9(10). e108553–e108553. 76 indexed citations

Aprahamian, Tamar, Ramon Bonegio, Christophe Richez, et al.. (2009). The Peroxisome Proliferator-Activated Receptor γ Agonist Rosiglitazone Ameliorates Murine Lupus by Induction of Adiponectin. The Journal of Immunology. 182(1). 340–346. 79 indexed citations

10.

Yasuda, Kei, Christophe Richez, Melissa B. Uccellini, et al.. (2009). Requirement for DNA CpG Content in TLR9-Dependent Dendritic Cell Activation Induced by DNA-Containing Immune Complexes. The Journal of Immunology. 183(5). 3109–3117. 93 indexed citations

11.

Richez, Christophe, Kei Yasuda, Ramon Bonegio, et al.. (2009). IFN Regulatory Factor 5 Is Required for Disease Development in the FcγRIIB−/−Yaa and FcγRIIB−/− Mouse Models of Systemic Lupus Erythematosus. The Journal of Immunology. 184(2). 796–806. 74 indexed citations

12.

Richez, Christophe, Kei Yasuda, Amanda A. Watkins, et al.. (2009). TLR4 Ligands Induce IFN-α Production by Mouse Conventional Dendritic Cells and Human Monocytes after IFN-β Priming. The Journal of Immunology. 182(2). 820–828. 51 indexed citations

13.

Yasuda, Kei, Mark Rutz, Jochen Metzger, et al.. (2006). CpG motif‐independent activation of TLR9 upon endosomal translocation of “natural” phosphodiester DNA. European Journal of Immunology. 36(2). 431–436. 96 indexed citations

14.

Yasuda, Kei, Hermann Wagner, & Yoshinobu Takakura. (2006). Role of Immunostimulatory DNA and TLR9 in Gene Therapy. Critical Reviews in Therapeutic Drug Carrier Systems. 23(2). 89–110. 8 indexed citations

15.

Yasuda, Kei, Philipp Yu, Carsten J. Kirschning, et al.. (2005). Endosomal Translocation of Vertebrate DNA Activates Dendritic Cells via TLR9-Dependent and -Independent Pathways. The Journal of Immunology. 174(10). 6129–6136. 214 indexed citations

16.

Yasuda, Kei, et al.. (2004). Restricted cytokine production from mouse peritoneal macrophages in culture in spite of extensive uptake of plasmid DNA. Immunology. 111(3). 282–290. 39 indexed citations

17.

Yasuda, Kei, et al.. (2002). Efficient uptake and rapid degradation of plasmid DNA by murine dendritic cells via a specific mechanism. Biochemical and Biophysical Research Communications. 299(3). 389–394. 26 indexed citations

18.

Raynor, K, William A. Murphy, D.H. Coy, et al.. (1993). Cloned somatostatin receptors: identification of subtype-selective peptides and demonstration of high affinity binding of linear peptides.. Molecular Pharmacology. 43(6). 838–844. 244 indexed citations

19.

Raynor, K, Hong Kong, Kei Yasuda, et al.. (1993). Characterization of cloned somatostatin receptors SSTR4 and SSTR5.. Molecular Pharmacology. 44(2). 385–392. 144 indexed citations

20.

Reisine, Terry, Hong Kong, K Raynor, et al.. (1993). Splice variant of the somatostatin receptor 2 subtype, somatostatin receptor 2B, couples to adenylyl cyclase.. Molecular Pharmacology. 44(5). 1016–1020. 56 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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