Kazuo Nagai
- Pharmacology top 0.5%
- Pharmacological Effects of Natural Compounds 13
- Biotechnology top 0.5%
- Microbial Metabolism and Applications 13
- Molecular Biology top 1%
- Bone Metabolism and Diseases 25
- RNA and protein synthesis mechanisms 15
- DNA and Nucleic Acid Chemistry 13
- Pharmacology top 0.5%
- Pharmacological Effects of Natural Compounds 13
- Biochemistry top 2%
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- Bacterial Genetics and Biotechnology 36
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- Bone health and treatments 14
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- NF-κB Signaling Pathways 12
- Co-authors
- Masaaki WachiJe‐Tae WooTakao KataokaHAMAO UMEZAWANobuo TanakaHideo SuzukiTakayuki YonezawaHiroshi Yamaki
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (3 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Kazuo Nagai
200 papers receiving 6.7k citations
Peers
Comparison fields: 5 of 150
- Pharmacology 531
- Biotechnology 521
- Molecular Biology 4.1k
- Pharmacology 925
- Biochemistry 290
Countries citing papers authored by Kazuo Nagai
This map shows the geographic impact of Kazuo Nagai'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 Kazuo Nagai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuo Nagai more than expected).
Fields of papers citing papers by Kazuo Nagai
This network shows the impact of papers produced by Kazuo Nagai. 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 Kazuo Nagai. The network helps show where Kazuo Nagai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuo Nagai, 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 | 2011 | 68 | |
| 2 | 2010 | 48 | |
| 3 | 2010 | 34 | |
| 4 | 2009 | 73 | |
| 5 | 2009 | 28 | |
| 6 | 2005 | 21 | |
| 7 | 2005 | 45 | |
| 8 | 2004 | 142 | |
| 9 | 2004 | 48 | |
| 10 | 2003 | 67 | |
| 11 | 1999 | 5 | |
| 12 | 1999 | 25 | |
| 13 | 1996 | 13 | |
| 14 | 1995 | 22 | |
| 15 | 1992 | 2 | |
| 16 | Value added productivity measurement and practical approach to management improvement | 1991 | 11 |
| 17 | 1989 | 31 | |
| 18 | 1989 | 36 | |
| 19 | 1988 | 8 | |
| 20 | 1963 | 2 |
About Kazuo Nagai
Kazuo Nagai is a scholar working on Biotechnology, Molecular Biology and Applied Microbiology and Biotechnology, having authored 202 papers that have together received 7.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (36 papers), Bone Metabolism and Diseases (25 papers), RNA and protein synthesis mechanisms (15 papers), Bone health and treatments (14 papers), Microbial Metabolism and Applications (13 papers), DNA and Nucleic Acid Chemistry (13 papers), Pharmacological Effects of Natural Compounds (13 papers) and NF-κB Signaling Pathways (12 papers). The work is most often cited by research in Pharmacology (531 citations), Biotechnology (521 citations) and Molecular Biology (4.1k citations). Kazuo Nagai has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Masaaki Wachi, Je‐Tae Woo, Takao Kataoka, HAMAO UMEZAWA, Nobuo Tanaka, Hideo Suzuki, Takayuki Yonezawa, Hiroshi Yamaki, Byung‐Yoon Cha and Toshiaki Teruya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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.