F. Suzuki
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
- Rheumatology top 10%
- Folate and B Vitamins Research
- Osteoarthritis Treatment and Mechanisms
Papers in
-
- Receptor Mechanisms and Signaling 5
-
- Neuropeptides and Animal Physiology 2
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- H.A. Barker (3 shared papers)A.A. Iodice (2 shared papers)Masaharu Takigawa (1 shared paper)Hiroshi Ishida (1 shared paper)T. Takano (1 shared paper)Shigeo Kashiwamata (1 shared paper)Hatsumi Yoshiki (4 shared papers)Shigeru Morishima (4 shared papers)
- Journals
- British Journal of Pharmacology (4 papers)Journal of Biological Chemistry (3 papers)Annals of the New York Academy of Sciences (1 paper)American Journal of Physiology-Renal Physiology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- JapanUnited StatesTaiwan
In The Last Decade
F. Suzuki
10 papers receiving 363 citations
Peers
Comparison fields: 5 of 64
- Biochemistry 53
- Rheumatology 93
- Urology 28
- Molecular Biology 296
- Physiology 15
Countries citing papers authored by F. Suzuki
This map shows the geographic impact of F. 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 F. Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. Suzuki more than expected).
Fields of papers citing papers by F. Suzuki
This network shows the impact of papers produced by F. 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 F. Suzuki. The network helps show where F. Suzuki may publish in the future.
Co-authors
The 16 scholars most cited alongside F. Suzuki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 95 | |
| 2 | 1964 | 80 | |
| 3 | 1979 | 42 | |
| 4 | 2008 | 34 | |
| 5 | 1966 | 34 | |
| 6 | 1964 | 24 | |
| 7 | 2008 | 22 | |
| 8 | 2008 | 17 | |
| 9 | 1995 | 16 | |
| 10 | 2009 | 12 |
About F. Suzuki
F. Suzuki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biochemistry, Endocrinology, Diabetes and Metabolism and Spectroscopy, having authored 10 papers that have together received 376 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Neuropeptides and Animal Physiology (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Electrochemical sensors and biosensors (1 paper), Metabolism and Genetic Disorders (1 paper) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Biochemistry (53 citations), Rheumatology (93 citations), Urology (28 citations), Molecular Biology (296 citations) and Physiology (15 citations). F. Suzuki has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include H.A. Barker, A.A. Iodice, Masaharu Takigawa, Hiroshi Ishida, T. Takano, Shigeo Kashiwamata, Hatsumi Yoshiki, Shigeru Morishima, Ikunobu Muramatsu and Takashi Tanaka. Their work appears in journals such as British Journal of Pharmacology, Journal of Biological Chemistry, Annals of the New York Academy of Sciences, American Journal of Physiology-Renal Physiology 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.