Yukako Asano

71 total papers · 1.7k total citations
46 papers, 1.3k citations indexed

About

Yukako Asano is a scholar working on Biomedical Engineering, Immunology and Organic Chemistry. According to data from OpenAlex, Yukako Asano has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 9 papers in Immunology and 7 papers in Organic Chemistry. Recurrent topics in Yukako Asano's work include Innovative Microfluidic and Catalytic Techniques Innovation (13 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and T-cell and B-cell Immunology (9 papers). Yukako Asano is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (13 papers), Microfluidic and Capillary Electrophoresis Applications (10 papers) and T-cell and B-cell Immunology (9 papers). Yukako Asano collaborates with scholars based in Japan, United Kingdom and United States. Yukako Asano's co-authors include Gillian M. Griffiths, Satoshi Yabushita, Jane C. Stinchcombe, Maike de la Roche, Masahiro Irie, Akinori Murakami, Shinichiro Nakamura, Nele M. G. Dieckmann, Taro Q.P. Uyeda and Akira Nagasaki and has published in prestigious journals such as Science, Journal of the American Chemical Society and Journal of Clinical Investigation.

In The Last Decade

Yukako Asano

44 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Yukako Asano 338 297 256 225 161 46 1.3k
László Mátyus 375 1.1× 1.0k 3.4× 125 0.5× 181 0.8× 119 0.7× 54 1.6k
Tione Buranda 198 0.6× 846 2.8× 280 1.1× 239 1.1× 54 0.3× 67 1.8k
Eilon Sherman 395 1.2× 871 2.9× 247 1.0× 178 0.8× 47 0.3× 42 1.5k
Martin B. Forstner 332 1.0× 815 2.7× 76 0.3× 187 0.8× 69 0.4× 24 1.5k
Katelyn M. Spillane 335 1.0× 504 1.7× 168 0.7× 108 0.5× 382 2.4× 25 1.6k
Ying‐Xin Fan 149 0.4× 1.0k 3.5× 157 0.6× 421 1.9× 101 0.6× 28 1.5k
Christophe Jung 137 0.4× 455 1.5× 434 1.7× 54 0.2× 171 1.1× 38 1.3k
Changjiang You 159 0.5× 1.1k 3.7× 282 1.1× 107 0.5× 62 0.4× 91 1.7k
Mark Stroh 191 0.6× 723 2.4× 366 1.4× 48 0.2× 119 0.7× 55 1.8k
Thibault Tabarin 136 0.4× 357 1.2× 246 1.0× 66 0.3× 62 0.4× 31 1.1k

Countries citing papers authored by Yukako Asano

Since Specialization
Citations

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

Fields of papers citing papers by Yukako Asano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukako Asano

This figure shows the co-authorship network connecting the top 25 collaborators of Yukako Asano. A scholar is included among the top collaborators of Yukako Asano 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 Yukako Asano. Yukako Asano 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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