Torayuki Okuyama
- Molecular Biology top 5%
- Physiology top 1%
- Genetics top 2%
- Epidemiology top 5%
- Rheumatology top 2%
- Co-authors
- Ryuichi MashimaMotomichi KosugaAbdül WaheedWilliam S. SlyShin EnosawaYoshikatsu EtoSeiichi SuzukiYuji Sato
- Topics
- Lysosomal Storage Disorders Research (72 papers)Glycogen Storage Diseases and Myoclonus (28 papers)Trypanosoma species research and implications (23 papers)
- Cited by
- PhysiologyRheumatologyHepatology
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Torayuki Okuyama
148 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Molecular Biology 1.9k
- Physiology 1.6k
- Genetics 881
- Epidemiology 873
- Rheumatology 553
Countries citing papers authored by Torayuki Okuyama
This map shows the geographic impact of Torayuki Okuyama'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 Torayuki Okuyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torayuki Okuyama more than expected).
Fields of papers citing papers by Torayuki Okuyama
This network shows the impact of papers produced by Torayuki Okuyama. 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 Torayuki Okuyama. The network helps show where Torayuki Okuyama may publish in the future.
Co-authorship network of co-authors of Torayuki Okuyama
This figure shows the co-authorship network connecting the top 25 collaborators of Torayuki Okuyama. A scholar is included among the top collaborators of Torayuki Okuyama 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 Torayuki Okuyama. Torayuki Okuyama 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 | 51 | |
| 3 | Development of a simultaneous analytical method for five conjugated cholesterol metabolites in urine and investigation of their performance as diagnostic markers for Niemann-Pick disease type C | 0 |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 118 | |
| 10 | 5 | |
| 11 | 27 | |
| 12 | 3 | |
| 13 | 34 | |
| 14 | 12 | |
| 15 | 35 | |
| 16 | 197 | |
| 17 | 205 | |
| 18 | 81 | |
| 19 | 38 | |
| 20 | 10 |
About Torayuki Okuyama
Torayuki Okuyama is a scholar working on Physiology, Rheumatology and Genetics, having authored 152 papers that have together received 4.6k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (72 papers), Glycogen Storage Diseases and Myoclonus (28 papers) and Trypanosoma species research and implications (23 papers). The work is most often cited by research in Physiology (1.6k citations), Rheumatology (553 citations) and Hepatology (267 citations). Torayuki Okuyama has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Ryuichi Mashima, Motomichi Kosuga, Abdül Waheed, William S. Sly, Shin Enosawa, Yoshikatsu Eto, Seiichi Suzuki, Yuji Sato, Norio Sakai and Tetsuya Ogino. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.
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.