Nobuko Tokuda

84 total papers · 982 total citations
60 papers, 721 citations indexed

About

Nobuko Tokuda is a scholar working on Immunology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nobuko Tokuda has authored 60 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 22 papers in Molecular Biology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nobuko Tokuda's work include Immunotherapy and Immune Responses (13 papers), Peroxisome Proliferator-Activated Receptors (11 papers) and Immune Response and Inflammation (11 papers). Nobuko Tokuda is often cited by papers focused on Immunotherapy and Immune Responses (13 papers), Peroxisome Proliferator-Activated Receptors (11 papers) and Immune Response and Inflammation (11 papers). Nobuko Tokuda collaborates with scholars based in Japan, China and Malta. Nobuko Tokuda's co-authors include Yuji Owada, Tetsuo Fukumoto, Tomoo Sawada, Yasuhiro Adachi, Kazem Sharifi, Yuki Yasumoto, Hisatake Kondo, Kiyoshi Ichihara, Yoshiya Ueyama and Takeo Yoshikawa and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and Annals of the New York Academy of Sciences.

In The Last Decade

Nobuko Tokuda

57 papers receiving 705 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nobuko Tokuda 254 214 95 84 74 60 721
Piotr Piotrowski 171 0.7× 274 1.3× 92 1.0× 69 0.8× 56 0.8× 63 869
Ju Gao 334 1.3× 139 0.6× 147 1.5× 62 0.7× 59 0.8× 63 784
Gema Robledo 363 1.4× 261 1.2× 138 1.5× 137 1.6× 74 1.0× 36 868
Sarah Stephenson 258 1.0× 131 0.6× 186 2.0× 58 0.7× 63 0.9× 38 758
Marie-Paule Defresne 202 0.8× 242 1.1× 96 1.0× 118 1.4× 39 0.5× 44 788
Wensheng Wang 206 0.8× 223 1.0× 135 1.4× 29 0.3× 87 1.2× 53 855
Aijun Zhang 228 0.9× 200 0.9× 162 1.7× 27 0.3× 90 1.2× 57 892
S Maśliński 236 0.9× 313 1.5× 76 0.8× 43 0.5× 54 0.7× 68 733
Hoa Le 415 1.6× 222 1.0× 62 0.7× 49 0.6× 73 1.0× 28 907
Carlos B. González 295 1.2× 154 0.7× 79 0.8× 108 1.3× 37 0.5× 47 832

Countries citing papers authored by Nobuko Tokuda

Since Specialization
Citations

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

Fields of papers citing papers by Nobuko Tokuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nobuko Tokuda

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

All Works

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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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