Jun Takasaki
Impact in
- Physiology top 2%
- Asthma and respiratory diseases
- Adenosine and Purinergic Signaling
- Reproductive Medicine top 2%
- Hypothalamic control of reproductive hormones
Papers in
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- Cell Adhesion Molecules Research 5
-
- Neuropeptides and Animal Physiology 8
- Co-authors
- Tetsu SaitoMasazumi KamoharaKiyoshi FuruichiTakahide OhishiTakatoshi SogaMasatoshi TaniguchiMitsuyuki MatsumotoMasato Kobori
- Journals
- Biochemical and Biophysical Research Communications (7 papers)Inflammation Research (2 papers)Journal of Leukocyte Biology (2 papers)Thrombosis and Haemostasis (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- JapanNorwayUnited States
In The Last Decade
Jun Takasaki
41 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 109
- Physiology 160
- Reproductive Medicine 275
- Cellular and Molecular Neuroscience 580
- Endocrine and Autonomic Systems 198
- Immunology and Allergy 172
Countries citing papers authored by Jun Takasaki
This map shows the geographic impact of Jun Takasaki'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 Takasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Takasaki more than expected).
Fields of papers citing papers by Jun Takasaki
This network shows the impact of papers produced by Jun Takasaki. 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 Takasaki. The network helps show where Jun Takasaki may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Takasaki, 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 | 2007 | 30 | |
| 2 | 2007 | 10 | |
| 3 | 2006 | 216 | |
| 4 | 2006 | 4 | |
| 5 | 2006 | 49 | |
| 6 | 2006 | 11 | |
| 7 | 2006 | 18 | |
| 8 | 2005 | 87 | |
| 9 | 2005 | 37 | |
| 10 | 2005 | 53 | |
| 11 | 2004 | 329 | |
| 12 | 2004 | 286 | |
| 13 | 2003 | 34 | |
| 14 | 2003 | 275 | |
| 15 | 2000 | 68 | |
| 16 | 2000 | 1 | |
| 17 | 2000 | 175 | |
| 18 | 2000 | 8 | |
| 19 | 1999 | 3 | |
| 20 | 1994 | 5 |
About Jun Takasaki
Jun Takasaki is a scholar working on Immunology and Allergy, Cellular and Molecular Neuroscience, Biotechnology, Endocrine and Autonomic Systems and Physiology, having authored 43 papers that have together received 2.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Neuropeptides and Animal Physiology (8 papers), Asthma and respiratory diseases (8 papers), Cell Adhesion Molecules Research (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Microbial Metabolism and Applications (4 papers), Microbial Natural Products and Biosynthesis (3 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Physiology (160 citations), Reproductive Medicine (275 citations), Cellular and Molecular Neuroscience (580 citations), Endocrine and Autonomic Systems (198 citations) and Immunology and Allergy (172 citations). Jun Takasaki has collaborated with scholars based in Japan, Norway and United States. Frequent co-authors include Tetsu Saito, Masazumi Kamohara, Kiyoshi Furuichi, Takahide Ohishi, Takatoshi Soga, Masatoshi Taniguchi, Mitsuyuki Matsumoto, Masato Kobori, Hideki Hiyama and Hitoshi Matsushime. Their work appears in journals such as Biochemical and Biophysical Research Communications, Inflammation Research, Journal of Leukocyte Biology, Thrombosis and Haemostasis 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.