Jun Nagai
Impact in
- Pharmaceutical Science top 2%
- Fluorine in Organic Chemistry
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
Papers in ⓘ
- Physiology 27
- Pain Mechanisms and Treatments 18
- Asthma and respiratory diseases 6
- Co-authors
- Hiroshi Ueda (22 shared papers)Norio Shibata (6 shared papers)Shuichi Nakamura (6 shared papers)Takeshi Toru (6 shared papers)Shuji Kanemasa (4 shared papers)Kenneth D. Bloch (1 shared paper)Dhande Sudhakar Reddy (5 shared papers)Hitoshi Uchida (7 shared papers)
- Journals
- The Journal of Biochemistry (9 papers)Molecular Pain (6 papers)Immunology and Cell Biology (5 papers)Journal of Biological Chemistry (4 papers)Journal of Neurochemistry (4 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Jun Nagai
106 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 116
- Pharmaceutical Science 236
- Biochemistry 226
- Organic Chemistry 581
- Molecular Biology 1.2k
- Physiology 433
Countries citing papers authored by Jun Nagai
This map shows the geographic impact of Jun 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 Jun Nagai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Nagai more than expected).
Fields of papers citing papers by Jun Nagai
This network shows the impact of papers produced by Jun 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 Jun Nagai. The network helps show where Jun Nagai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 243 | |
| 2 | 2007 | 135 | |
| 3 | 1968 | 128 | |
| 4 | 2007 | 121 | |
| 5 | 2010 | 78 | |
| 6 | 2012 | 76 | |
| 7 | 1966 | 76 | |
| 8 | 2013 | 68 | |
| 9 | 2010 | 66 | |
| 10 | 2010 | 66 | |
| 11 | 2009 | 62 | |
| 12 | 2010 | 58 | |
| 13 | 2008 | 57 | |
| 14 | 2013 | 50 | |
| 15 | 2014 | 49 | |
| 16 | 1989 | 45 | |
| 17 | 2011 | 40 | |
| 18 | 1999 | 38 | |
| 19 | 1999 | 36 | |
| 20 | 2018 | 36 |
About Jun Nagai
Jun Nagai is a scholar working on Physiology, Biochemistry, Molecular Biology, Pharmacology and Biotechnology, having authored 115 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (18 papers), Sphingolipid Metabolism and Signaling (14 papers), Asthma and respiratory diseases (6 papers), Enzyme Production and Characterization (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Pharmacological Effects of Natural Compounds (6 papers), Plant biochemistry and biosynthesis (6 papers) and Polyamine Metabolism and Applications (6 papers). The work is most often cited by research in Pharmaceutical Science (236 citations), Biochemistry (226 citations), Organic Chemistry (581 citations), Molecular Biology (1.2k citations) and Physiology (433 citations). Jun Nagai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroshi Ueda, Norio Shibata, Shuichi Nakamura, Takeshi Toru, Shuji Kanemasa, Kenneth D. Bloch, Dhande Sudhakar Reddy, Hitoshi Uchida, Konrad E. Bloch and Takehisa Ishimaru. Their work appears in journals such as The Journal of Biochemistry, Molecular Pain, Immunology and Cell Biology, Journal of Biological Chemistry and Journal of Neurochemistry.
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.