Nobuhiko Saitô
- Molecular Biology top 10%
- Materials Chemistry top 10%
- Atomic and Molecular Physics, and Optics top 5%
- Statistical and Nonlinear Physics top 1%
- Fluid Flow and Transfer Processes top 5%
- Co-authors
- Hiroshi WakoMorikazu TodaKin’ya TakahashiRyogo KuboRyōgo KuboTatsuo OoiYôji AizawaKen Nishikawa
- Topics
- Protein Structure and Dynamics (28 papers)Enzyme Structure and Function (18 papers)Advanced Thermodynamics and Statistical Mechanics (13 papers)
- Cited by
- Statistical and Nonlinear PhysicsFluid Flow and Transfer ProcessesAtomic and Molecular Physics, and Optics
- Journals
- Physical Review LettersThe Journal of Chemical PhysicsThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesRussia
In The Last Decade
Nobuhiko Saitô
118 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 144
- Molecular Biology 758
- Materials Chemistry 732
- Atomic and Molecular Physics, and Optics 566
- Statistical and Nonlinear Physics 493
- Fluid Flow and Transfer Processes 202
Countries citing papers authored by Nobuhiko Saitô
This map shows the geographic impact of Nobuhiko Saitô'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 Nobuhiko Saitô with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nobuhiko Saitô more than expected).
Fields of papers citing papers by Nobuhiko Saitô
This network shows the impact of papers produced by Nobuhiko Saitô. 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 Nobuhiko Saitô. The network helps show where Nobuhiko Saitô may publish in the future.
Co-authorship network of co-authors of Nobuhiko Saitô
This figure shows the co-authorship network connecting the top 25 collaborators of Nobuhiko Saitô. A scholar is included among the top collaborators of Nobuhiko Saitô 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 Nobuhiko Saitô. Nobuhiko Saitô 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 | The Cold-loaded Pain Sensation Test in the Diagnosis of Diabetic Neuropathy | 2 |
| 3 | 0 | |
| 4 | 35 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 10 | |
| 13 | 7 | |
| 14 | 17 | |
| 15 | 1 | |
| 16 | 21 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 52 |
About Nobuhiko Saitô
Nobuhiko Saitô is a scholar working on Statistical and Nonlinear Physics, Physical and Theoretical Chemistry and Fluid Flow and Transfer Processes, having authored 120 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (28 papers), Enzyme Structure and Function (18 papers) and Advanced Thermodynamics and Statistical Mechanics (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (493 citations), Fluid Flow and Transfer Processes (202 citations) and Atomic and Molecular Physics, and Optics (566 citations). Nobuhiko Saitô has collaborated with scholars based in Japan, United States and Russia. Frequent co-authors include Hiroshi Wako, Morikazu Toda, Kin’ya Takahashi, Ryogo Kubo, Ryōgo Kubo, Tatsuo Ooi, Yôji Aizawa, Ken Nishikawa, Atsushi Fujishima and Yukio Kobayashi. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and The Journal of Clinical Endocrinology & Metabolism.
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.