Yuji Goto
- Molecular Biology top 0.1%
- Physiology top 0.1%
- Materials Chemistry top 1%
- Food Science top 0.1%
- Cell Biology top 0.5%
- Co-authors
- Hironobu NaikiAnthony L. FinkYoung‐Ho LeeMasaru HoshinoJózsef KardosKazuhiro HasegawaYoshihisa HagiharaDaizo Hamada
- Topics
- Alzheimer's disease research and treatments (152 papers)Protein Structure and Dynamics (148 papers)Enzyme Structure and Function (63 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- JapanHungaryUnited States
In The Last Decade
Yuji Goto
371 papers receiving 21.4k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Molecular Biology 15.7k
- Physiology 6.0k
- Materials Chemistry 4.2k
- Food Science 2.6k
- Cell Biology 1.9k
Countries citing papers authored by Yuji Goto
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 9 | |
| 4 | BeStSel: webserver for secondary structure and fold prediction for protein CD spectroscopybreakdown → | 237 |
| 5 | 13 | |
| 6 | 47 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 24 | |
| 10 | 20 | |
| 11 | 15 | |
| 12 | Accurate secondary structure prediction and fold recognition for circular dichroism spectroscopybreakdown → | 1292 |
| 13 | Nucleation–fibrillation dynamics of Aβ | 2 |
| 14 | 41 | |
| 15 | 13 | |
| 16 | 78 | |
| 17 | 119 | |
| 18 | 108 | |
| 19 | 0 | |
| 20 | 85 |
About Yuji Goto
Yuji Goto is a scholar working on Physiology, Molecular Biology and Food Science, having authored 377 papers that have together received 21.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (152 papers), Protein Structure and Dynamics (148 papers) and Enzyme Structure and Function (63 papers). The work is most often cited by research in Physiology (6.0k citations), Molecular Biology (15.7k citations) and Food Science (2.6k citations). Yuji Goto has collaborated with scholars based in Japan, Hungary and United States. Frequent co-authors include Hironobu Naiki, Anthony L. Fink, Young‐Ho Lee, Masaru Hoshino, József Kardos, Kazuhiro Hasegawa, Yoshihisa Hagihara, Daizo Hamada, Kazumasa Sakurai and Hisashi Yagi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.