Yuji Goto

629 total papers · 25.8k total citations
377 papers, 21.6k citations indexed

About

Yuji Goto is a scholar working on Molecular Biology, Physiology and Materials Chemistry. According to data from OpenAlex, Yuji Goto has authored 377 papers receiving a total of 21.6k indexed citations (citations by other indexed papers that have themselves been cited), including 271 papers in Molecular Biology, 161 papers in Physiology and 73 papers in Materials Chemistry. Recurrent topics in Yuji Goto's work include Alzheimer's disease research and treatments (152 papers), Protein Structure and Dynamics (148 papers) and Enzyme Structure and Function (63 papers). Yuji Goto is often cited by papers focused on Alzheimer's disease research and treatments (152 papers), Protein Structure and Dynamics (148 papers) and Enzyme Structure and Function (63 papers). Yuji Goto collaborates with scholars based in Japan, Hungary and United States. Yuji Goto's co-authors include Hironobu Naiki, Anthony L. Fink, Masaru Hoshino, Young‐Ho Lee, József Kardos, Kazuhiro Hasegawa, Yoshihisa Hagihara, Daizo Hamada, Kazumasa Sakurai and Hisashi Yagi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Yuji Goto

371 papers receiving 21.3k citations

Hit Papers

Accurate secondary struct... 1990 2026 2002 2014 2015 2018 1990 1990 2022 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
Yuji Goto 15.6k 6.0k 4.2k 2.6k 1.9k 377 21.6k
Daniel E. Otzen 13.4k 0.9× 5.7k 1.0× 3.3k 0.8× 1.4k 0.5× 1.4k 0.7× 433 20.8k
Anthony L. Fink 17.8k 1.1× 9.1k 1.5× 4.7k 1.1× 1.5k 0.6× 3.0k 1.6× 231 28.6k
Sheena E. Radford 18.7k 1.2× 7.4k 1.2× 6.2k 1.5× 989 0.4× 2.4k 1.2× 354 25.0k
Fabrizio Chiti 16.5k 1.1× 11.3k 1.9× 3.5k 0.8× 1.1k 0.4× 2.7k 1.4× 183 22.1k
Sara Linse 14.6k 0.9× 9.2k 1.5× 5.4k 1.3× 1.0k 0.4× 1.6k 0.8× 339 27.4k
M.R. Sawaya 21.2k 1.4× 7.3k 1.2× 4.3k 1.0× 593 0.2× 1.8k 0.9× 243 27.8k
Roland Riek 17.2k 1.1× 8.2k 1.4× 3.3k 0.8× 470 0.2× 1.6k 0.8× 285 25.1k
Tuomas P. J. Knowles 19.1k 1.2× 14.7k 2.5× 4.0k 0.9× 1.7k 0.7× 2.4k 1.2× 465 32.6k
Ayyalusamy Ramamoorthy 14.4k 0.9× 6.2k 1.0× 4.0k 1.0× 800 0.3× 924 0.5× 424 26.4k
Roland Winter 10.6k 0.7× 2.3k 0.4× 3.7k 0.9× 1.2k 0.5× 1.4k 0.7× 502 16.3k

Countries citing papers authored by Yuji Goto

Since Specialization
Citations

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

Fields of papers citing papers by Yuji Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuji Goto

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