Nobuteru Usuda
- Molecular Biology top 2%
- Epidemiology top 1%
- Rheumatology top 0.2%
- Surgery top 2%
- Physiology top 2%
- Co-authors
- Kendo KiyosawaShigeyuki KawaToshio NikaidoKohzo NakayamaHiroshi UnnoTaiji AkamatsuNaoyuki FuruyaMana Fukushima
- Topics
- Peroxisome Proliferator-Activated Receptors (40 papers)Metabolism and Genetic Disorders (25 papers)Neurosurgical Procedures and Complications (11 papers)
- Cited by
- RheumatologyHepatologyBiochemistry
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Biological Chemistry
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Nobuteru Usuda
172 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 3.3k
- Epidemiology 2.2k
- Rheumatology 2.0k
- Surgery 1.7k
- Physiology 892
Countries citing papers authored by Nobuteru Usuda
This map shows the geographic impact of Nobuteru Usuda'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 Nobuteru Usuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuteru Usuda more than expected).
Fields of papers citing papers by Nobuteru Usuda
This network shows the impact of papers produced by Nobuteru Usuda. 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 Nobuteru Usuda. The network helps show where Nobuteru Usuda may publish in the future.
Co-authorship network of co-authors of Nobuteru Usuda
This figure shows the co-authorship network connecting the top 25 collaborators of Nobuteru Usuda. A scholar is included among the top collaborators of Nobuteru Usuda 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 Nobuteru Usuda. Nobuteru Usuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 10 | |
| 3 | 13 | |
| 4 | 194 | |
| 5 | 18 | |
| 6 | 33 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 23 | |
| 15 | 42 | |
| 16 | 30 | |
| 17 | 17 | |
| 18 | Image Analysis of Histochemical Quantitation for Macromolecular Synthesis. | 4 |
| 19 | 140 Radioautographic study of nucleic acid synthesis in aging mice pancreatic acinar cells. | 1 |
| 20 | Immunocytochemical studies on the microperoxisomes in the small intestines of rats | 3 |
About Nobuteru Usuda
Nobuteru Usuda is a scholar working on Clinical Biochemistry, Structural Biology and Nephrology, having authored 172 papers that have together received 7.4k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (40 papers), Metabolism and Genetic Disorders (25 papers) and Neurosurgical Procedures and Complications (11 papers). The work is most often cited by research in Rheumatology (2.0k citations), Hepatology (769 citations) and Biochemistry (600 citations). Nobuteru Usuda has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Kendo Kiyosawa, Shigeyuki Kawa, Toshio Nikaido, Kohzo Nakayama, Hiroshi Unno, Taiji Akamatsu, Naoyuki Furuya, Mana Fukushima, Akira Horiuchi and Hideaki Hamano. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.