T. Tokoro
- Physiology top 10%
- Molecular Biology
- Organic Chemistry
- Cell Biology
- Physiology top 5%
- Co-authors
- Marcella ComlyM. T. VanierMichele R. Filling‐KatzJane M. QuirkHoward S. KruthRoscoe O. BradyDaniela MarshallPeter G. Pentchev
- Topics
- Lysosomal Storage Disorders Research (16 papers)Carbohydrate Chemistry and Synthesis (6 papers)Glycosylation and Glycoproteins Research (5 papers)
- Cited by
- PhysiologyCell Biology
- Journals
- Proceedings of the National Academy of SciencesThe FASEB JournalBiochemical and Biophysical Research Communications
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
T. Tokoro
20 papers receiving 346 citations
Peers
Comparison fields: 5 of 59
- Physiology 242
- Molecular Biology 170
- Organic Chemistry 89
- Cell Biology 85
- Physiology 51
Countries citing papers authored by T. Tokoro
This map shows the geographic impact of T. Tokoro'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 T. Tokoro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Tokoro more than expected).
Fields of papers citing papers by T. Tokoro
This network shows the impact of papers produced by T. Tokoro. 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 T. Tokoro. The network helps show where T. Tokoro may publish in the future.
Co-authorship network of co-authors of T. Tokoro
This figure shows the co-authorship network connecting the top 25 collaborators of T. Tokoro. A scholar is included among the top collaborators of T. Tokoro 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 T. Tokoro. T. Tokoro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | [A possible same genetic defect in two Niemann-Pick disease model mice]. | 7 |
| 5 | 10 | |
| 6 | 16 | |
| 7 | [Impaired cholesterol esterification in Niemann-Pick disease model mouse]. | 1 |
| 8 | 1 | |
| 9 | 45 | |
| 10 | 159 | |
| 11 | 18 | |
| 12 | 34 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 20 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | 0 | |
| 20 | 1 |
About T. Tokoro
T. Tokoro is a scholar working on Physiology, Physiology and Clinical Biochemistry, having authored 21 papers that have together received 349 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (16 papers), Carbohydrate Chemistry and Synthesis (6 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Physiology (51 citations), Physiology (242 citations) and Cell Biology (85 citations). T. Tokoro has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Marcella Comly, M. T. Vanier, Michele R. Filling‐Katz, Jane M. Quirk, Howard S. Kruth, Roscoe O. Brady, Daniela Marshall, Peter G. Pentchev, J Butler and Shaun R. Patel. Their work appears in journals such as Proceedings of the National Academy of Sciences, The FASEB Journal and Biochemical and Biophysical Research Communications.
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.