Fujio Suzuki
- Molecular Biology top 5%
- Immunology top 1%
- Rheumatology top 0.5%
- Cell Biology top 1%
- Epidemiology top 5%
- Co-authors
- Makiko KobayashiRichard B. PollardDavid N. HerndonYuji HirakiMasaharu TakigawaYukio KatoHiroyuki InoueHitoshi Takahashi
- Topics
- Immune Response and Inflammation (49 papers)Osteoarthritis Treatment and Mechanisms (35 papers)Immune Cell Function and Interaction (28 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Fujio Suzuki
201 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 2.4k
- Immunology 1.7k
- Rheumatology 1.5k
- Cell Biology 763
- Epidemiology 736
Countries citing papers authored by Fujio Suzuki
This map shows the geographic impact of Fujio 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 Fujio Suzuki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fujio Suzuki more than expected).
Fields of papers citing papers by Fujio Suzuki
This network shows the impact of papers produced by Fujio 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 Fujio Suzuki. The network helps show where Fujio Suzuki may publish in the future.
Co-authorship network of co-authors of Fujio Suzuki
This figure shows the co-authorship network connecting the top 25 collaborators of Fujio Suzuki. A scholar is included among the top collaborators of Fujio 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 Fujio Suzuki. Fujio 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 | 7 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | CD34+CD31+ immature myeloid cells (IMC) as an inhibitor cell on the production of antimicrobial peptide: III. Translational studies of glycyrrhizin in humanized NOD-SCID IL-2r{gamma}-/- mice (NOD-SCID mice) | 1 |
| 5 | 21 | |
| 6 | 155 | |
| 7 | 13 | |
| 8 | 36 | |
| 9 | 17 | |
| 10 | 32 | |
| 11 | 71 | |
| 12 | 13 | |
| 13 | 160 | |
| 14 | BIFUNCTIONAL ROLE OF CHONDROMODULIN-I (ChM-I) IN ENDOCHONDRAL BONE FORMATION | 1 |
| 15 | 2 | |
| 16 | 90 | |
| 17 | 16 | |
| 18 | Studies on ATP Citrate Lyase of Rat Liver:III. The Reaction Mechanism | 1 |
| 19 | Studies on ATP citrate lyase of rat liver.-1-Purification and some properties | 29 |
| 20 | 2 |
About Fujio Suzuki
Fujio Suzuki is a scholar working on Immunology, Rheumatology and Microbiology, having authored 202 papers that have together received 6.4k indexed citations. Recurring topics across this work include Immune Response and Inflammation (49 papers), Osteoarthritis Treatment and Mechanisms (35 papers) and Immune Cell Function and Interaction (28 papers). The work is most often cited by research in Rheumatology (1.5k citations), Immunology (1.7k citations) and Immunology and Allergy (422 citations). Fujio Suzuki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Makiko Kobayashi, Richard B. Pollard, David N. Herndon, Yuji Hiraki, Masaharu Takigawa, Makiko Kobayashi, Yukio Kato, Hiroyuki Inoue, Hitoshi Takahashi and Yasuhiro Tsuda. Their work appears in journals such as Science, Journal of Biological Chemistry and Immunity.
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.