Jun Nagai

3.0k citations
116 papers · 2.4k · h-index 26

Impact in

Papers in

    • Sphingolipid Metabolism and Signaling 13
    • Polyamine Metabolism and Applications 6
    • Plant biochemistry and biosynthesis 6
    • Microbial Metabolic Engineering and Bioproduction 6
    • Pain Mechanisms and Treatments 12
    • Asthma and respiratory diseases 6

Jun Nagai

109 papers receiving 2.3k citations

Peers

Jun Nagai
Comparison fields: 5 of 116
  • Pharmaceutical Science 236
  • Biochemistry 222
  • Organic Chemistry 584
  • Molecular Biology 1.1k
  • Physiology 388
Replace Gordon L. Bundy with:
Gordon L. Bundy United States
Hiroaki Takayama Japan
Hiroshi Shimeno Japan
Michael S. Malamas United States
Trond Ulven Denmark
Fajun Nan China
Sharon Sadowski United States
Giuseppe Romeo Italy
Shinji Soeda Japan
Thomas Erker Austria
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Citations per field
00.5×8.3×
Gordon L. Bundy · 1×
Citations per year

Countries citing papers authored by Jun Nagai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jun Nagai Line = papers co-authored together Jun Nagai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006247
2 2007136
3 1968128
4 2007121
5 201078
6 201276
7 196676
8 201369
9 201066
10 201066
11 200962
12 201058
13 200857
14 201350
15 201450
16 198944
17 201140
18 201838
19 199938
20 199737

About Jun Nagai

Jun Nagai is a scholar working on Molecular Biology, Physiology, Pulmonary and Respiratory Medicine, Immunology and Surgery, having authored 116 papers that have together received 2.4k indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (13 papers), Pain Mechanisms and Treatments (12 papers), Enzyme Production and Characterization (6 papers), Asthma and respiratory diseases (6 papers), Polyamine Metabolism and Applications (6 papers), Plant biochemistry and biosynthesis (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Pharmacological Effects of Natural Compounds (5 papers). The work is most often cited by research in Pharmaceutical Science (236 citations), Biochemistry (222 citations), Organic Chemistry (584 citations), Molecular Biology (1.1k citations) and Physiology (388 citations). Jun Nagai has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hiroshi Ueda, Takeshi Toru, Norio Shibata, Shuichi Nakamura, 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 Neurochemistry 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.

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