Takuro Yaoi

22 total papers · 412 total citations
17 papers, 330 citations indexed

About

Takuro Yaoi is a scholar working on Molecular Biology, Materials Chemistry and Genetics. According to data from OpenAlex, Takuro Yaoi has authored 17 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Materials Chemistry and 2 papers in Genetics. Recurrent topics in Takuro Yaoi's work include Enzyme Structure and Function (10 papers), Protein Structure and Dynamics (6 papers) and Heat shock proteins research (4 papers). Takuro Yaoi is often cited by papers focused on Enzyme Structure and Function (10 papers), Protein Structure and Dynamics (6 papers) and Heat shock proteins research (4 papers). Takuro Yaoi collaborates with scholars based in United States and Japan. Takuro Yaoi's co-authors include Jonathan D. Trent, Hiromi Kagawa, Tairo Oshima, Kentaro Miyazaki, Nestor J. Zaluzec, Thomas H. Alton, Akihiko Yamagishi, Masatada Tamakoshi, R. Andrew McMillan and Xianqiang Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genetics and Biochemical and Biophysical Research Communications.

In The Last Decade

Takuro Yaoi

17 papers receiving 317 citations

Author Peers

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

Author Last Decade Papers Cites
Takuro Yaoi 278 136 42 37 21 17 330
David Apiyo 237 0.9× 106 0.8× 25 0.6× 28 0.8× 26 1.2× 13 352
Luís A. Alcaraz 186 0.7× 58 0.4× 35 0.8× 43 1.2× 17 0.8× 21 334
M Kitada 214 0.8× 39 0.3× 69 1.6× 33 0.9× 13 0.6× 26 340
Maria Luisa Romero Romero 240 0.9× 96 0.7× 31 0.7× 20 0.5× 23 1.1× 15 292
Mikko Laitaoja 206 0.7× 60 0.4× 20 0.5× 14 0.4× 25 1.2× 16 341
Mark Stump 255 0.9× 47 0.3× 41 1.0× 38 1.0× 20 1.0× 10 300
Simone Zuccotti 260 0.9× 126 0.9× 15 0.4× 24 0.6× 42 2.0× 13 344
Qingxian Zhou 219 0.8× 62 0.5× 34 0.8× 6 0.2× 17 0.8× 13 351
Christopher A. G. Söderberg 243 0.9× 72 0.5× 9 0.2× 16 0.4× 45 2.1× 20 332
Christian Reichen 297 1.1× 52 0.4× 59 1.4× 41 1.1× 16 0.8× 15 350

Countries citing papers authored by Takuro Yaoi

Since Specialization
Citations

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

Fields of papers citing papers by Takuro Yaoi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuro Yaoi

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026