Masayoshi Tsuruoka
- Physiology top 5%
- Pain Mechanisms and Treatments 38
-
- Neuropeptides and Animal Physiology 16
- Neuroscience and Neuropharmacology Research 6
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol 8
- Sensory Systems top 10%
- Endocrine and Autonomic Systems top 10%
-
- Ion channel regulation and function 6
-
- Acupuncture Treatment Research Studies 6
-
- Myofascial pain diagnosis and treatment 4
-
- Botulinum Toxin and Related Neurological Disorders 3
- Co-authors
- William D. WillisTomio InoueMasako MaedaH. ReesKathleen A. SlukaTadaharu KawawaYoung‐Chang P. AraiSusan M. Carlton
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Masayoshi Tsuruoka
42 papers receiving 619 citations
Peers
Comparison fields: 5 of 52
- Physiology 499
- Cellular and Molecular Neuroscience 251
- Behavioral Neuroscience 49
- Sensory Systems 48
- Endocrine and Autonomic Systems 55
Countries citing papers authored by Masayoshi Tsuruoka
This map shows the geographic impact of Masayoshi Tsuruoka'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 Masayoshi Tsuruoka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayoshi Tsuruoka more than expected).
Fields of papers citing papers by Masayoshi Tsuruoka
This network shows the impact of papers produced by Masayoshi Tsuruoka. 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 Masayoshi Tsuruoka. The network helps show where Masayoshi Tsuruoka may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Masayoshi Tsuruoka, 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 | 2013 | 5 | |
| 2 | 2012 | 17 | |
| 3 | 2011 | 2 | |
| 4 | 2008 | 15 | |
| 5 | 2007 | 1 | |
| 6 | 2007 | 15 | |
| 7 | 2005 | 8 | |
| 8 | 2005 | 15 | |
| 9 | 2004 | 27 | |
| 10 | 2003 | 31 | |
| 11 | 2003 | 32 | |
| 12 | An Experimental Animal Model for Estimating Craniofacial Pain. | 2000 | 2 |
| 13 | 2000 | 23 | |
| 14 | 1998 | 5 | |
| 15 | 1998 | 6 | |
| 16 | 1997 | 11 | |
| 17 | 1993 | 16 | |
| 18 | 1990 | 4 | |
| 19 | 1990 | 8 | |
| 20 | 1988 | 9 |
About Masayoshi Tsuruoka
Masayoshi Tsuruoka is a scholar working on Behavioral Neuroscience, Physiology and Cellular and Molecular Neuroscience, having authored 45 papers that have together received 629 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (38 papers), Neuropeptides and Animal Physiology (16 papers), Stress Responses and Cortisol (8 papers), Neuroscience and Neuropharmacology Research (6 papers), Ion channel regulation and function (6 papers), Acupuncture Treatment Research Studies (6 papers), Myofascial pain diagnosis and treatment (4 papers) and Botulinum Toxin and Related Neurological Disorders (3 papers). The work is most often cited by research in Physiology (499 citations), Cellular and Molecular Neuroscience (251 citations) and Behavioral Neuroscience (49 citations). Masayoshi Tsuruoka has collaborated with scholars based in Japan, United States and China. Frequent co-authors include William D. Willis, Tomio Inoue, Masako Maeda, H. Rees, Kathleen A. Sluka, Tadaharu Kawawa, Young‐Chang P. Arai, Susan M. Carlton, Limin Liu and Limin Liu. Their work appears in journals such as Brain Research, Neuroscience, Pain, Experimental Brain Research and Neurochemical Research.
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.