Norio Suzuki
- Molecular Biology top 1%
- Hematology top 0.5%
- Cancer Research top 1%
- Genetics top 1%
- Nephrology top 0.2%
- Co-authors
- Masayuki YamamotoMasahiro NezuEiji TakedaKenzo YosedaKunio AmaokaMutsumi NishidaTemel ŞahinCennet Üstündağ
- Topics
- Magnetic confinement fusion research (50 papers)Erythropoietin and Anemia Treatment (39 papers)Cancer, Hypoxia, and Metabolism (31 papers)
- Cited by
- NephrologyHematologyAging
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Norio Suzuki
434 papers receiving 13.9k citations
Hit Papers
Peers
Comparison fields: 5 of 196
- Molecular Biology 5.1k
- Hematology 1.7k
- Cancer Research 1.5k
- Genetics 1.5k
- Nephrology 1.5k
Countries citing papers authored by Norio Suzuki
This map shows the geographic impact of Norio Suzuki'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 Norio Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norio Suzuki more than expected).
Fields of papers citing papers by Norio Suzuki
This network shows the impact of papers produced by Norio Suzuki. 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 Norio Suzuki. The network helps show where Norio Suzuki may publish in the future.
Co-authorship network of co-authors of Norio Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Norio Suzuki. A scholar is included among the top collaborators of Norio Suzuki 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 Norio Suzuki. Norio Suzuki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 54 | |
| 5 | 49 | |
| 6 | A Practitioners’ Perspective on Developmental Models, Metrics and Community | 0 |
| 7 | 151 | |
| 8 | 48 | |
| 9 | Colorful multi-dimensional flow visualization: Preface | 3 |
| 10 | 23 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 61 | |
| 17 | In vitro Autophosphorylation and Cyclic Nucleotide-Dependent Dephosphorylation of Sea Urchin Sperm Histone Kinase | 2 |
| 18 | Optimization of Vehicle Deceleration Curves for Occupant Injury (The 2nd Report, Application of Sensitivity Analysis to Occupant Simulation) | 2 |
| 19 | Purification and characterization of cold insoluble glycoproteins from porcine seminal plasma | 1 |
| 20 | 2 |
About Norio Suzuki
Norio Suzuki is a scholar working on Aging, Nuclear and High Energy Physics and Hematology, having authored 456 papers that have together received 14.4k indexed citations. Recurring topics across this work include Magnetic confinement fusion research (50 papers), Erythropoietin and Anemia Treatment (39 papers) and Cancer, Hypoxia, and Metabolism (31 papers). The work is most often cited by research in Nephrology (1.5k citations), Hematology (1.7k citations) and Aging (241 citations). Norio Suzuki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masayuki Yamamoto, Masahiro Nezu, Eiji Takeda, Kenzo Yoseda, Kunio Amaoka, Mutsumi Nishida, Temel Şahin, Cennet Üstündağ, Naoko Minegishi and Shigehiko Imagawa. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.