Yusuke Sasaki
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- Neuropeptides and Animal Physiology 56
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling 35
- Chemical Synthesis and Analysis 18
- Pharmacological Receptor Mechanisms and Effects 18
- Biochemical and Structural Characterization 6
- Physiology top 10%
- Pain Mechanisms and Treatments 18
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- Hypothalamic control of reproductive hormones 6
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- Chemical synthesis and alkaloids 2
- Co-authors
- Akihiro AmboLawrence H. LazarusYoshio OkadaSharon D. BryantYunden JinsmaaYuko TsudaShinobu SakuradaKenji Suzuki
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Journal of Medicinal Chemistry (10 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Yusuke Sasaki
57 papers receiving 992 citations
Peers
Comparison fields: 5 of 59
- Cellular and Molecular Neuroscience 807
- Molecular Biology 764
- Physiology 270
- Behavioral Neuroscience 21
- Pharmacology 41
Countries citing papers authored by Yusuke Sasaki
This map shows the geographic impact of Yusuke Sasaki'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 Yusuke Sasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yusuke Sasaki more than expected).
Fields of papers citing papers by Yusuke Sasaki
This network shows the impact of papers produced by Yusuke Sasaki. 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 Yusuke Sasaki. The network helps show where Yusuke Sasaki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yusuke Sasaki, 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 | 2014 | 12 | |
| 2 | 2008 | 10 | |
| 3 | Synthesis and Biological Activity of Endomorphin-2 Analogues Containing Pro Mimics | 2007 | 1 |
| 4 | 2007 | 6 | |
| 5 | 2006 | 17 | |
| 6 | 2005 | 25 | |
| 7 | 2005 | 3 | |
| 8 | 2005 | 30 | |
| 9 | 2004 | 40 | |
| 10 | 2004 | 8 | |
| 11 | 2003 | 37 | |
| 12 | 2003 | 45 | |
| 13 | Development of μ-Receptor Selective Opioid Mimetics Derived from Endomorphin Sequences | 2000 | 1 |
| 14 | 1999 | 44 | |
| 15 | 1997 | 31 | |
| 16 | 1995 | 14 | |
| 17 | 1994 | 2 | |
| 18 | 1993 | 17 | |
| 19 | 1992 | 3 | |
| 20 | 1991 | 17 |
About Yusuke Sasaki
Yusuke Sasaki is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Reproductive Medicine, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (56 papers), Receptor Mechanisms and Signaling (35 papers), Chemical Synthesis and Analysis (18 papers), Pain Mechanisms and Treatments (18 papers), Pharmacological Receptor Mechanisms and Effects (18 papers), Hypothalamic control of reproductive hormones (6 papers), Biochemical and Structural Characterization (6 papers) and Chemical synthesis and alkaloids (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (807 citations), Molecular Biology (764 citations) and Physiology (270 citations). Yusuke Sasaki has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Akihiro Ambo, Lawrence H. Lazarus, Yoshio Okada, Sharon D. Bryant, Yunden Jinsmaa, Yuko Tsuda, Shinobu Sakurada, Kenji Suzuki, Tsukasa Sakurada and Kensuke Kisara. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.
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.