Masayoshi Goto
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Surgery
- Cardiology and Cardiovascular Medicine
- Physiology
- Co-authors
- Hideomi FukudaAtsuko YataniKoki KatoKenichi SaitoItsuro NakanoHaruo SatoTetsuhide ItoHiroya Yamaguchi
- Topics
- Neuroscience and Neuropharmacology Research (15 papers)Biochemical effects in animals (6 papers)Pancreatitis Pathology and Treatment (5 papers)
- Cited by
- Cellular and Molecular NeuroscienceRadiological and Ultrasound TechnologyCardiology and Cardiovascular Medicine
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Masayoshi Goto
48 papers receiving 431 citations
Peers
Comparison fields: 5 of 92
- Cellular and Molecular Neuroscience 202
- Molecular Biology 175
- Surgery 84
- Cardiology and Cardiovascular Medicine 82
- Physiology 60
Countries citing papers authored by Masayoshi Goto
This map shows the geographic impact of Masayoshi Goto'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 Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayoshi Goto more than expected).
Fields of papers citing papers by Masayoshi Goto
This network shows the impact of papers produced by Masayoshi Goto. 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 Goto. The network helps show where Masayoshi Goto may publish in the future.
Co-authorship network of co-authors of Masayoshi Goto
This figure shows the co-authorship network connecting the top 25 collaborators of Masayoshi Goto. A scholar is included among the top collaborators of Masayoshi Goto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masayoshi Goto. Masayoshi Goto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 18 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 46 | |
| 7 | 16 | |
| 8 | 12 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 19 | |
| 12 | 24 | |
| 13 | 7 | |
| 14 | 31 | |
| 15 | 4 | |
| 16 | 4 | |
| 17 | Binding of dextran sulfate by virus-transformed cells, with reference to altered growth behavior by its treatment. | 1 |
| 18 | 22 | |
| 19 | 2 | |
| 20 | A STUDY OF THE MEMBRANE CONSTANTS IN THE DOG MYOCARDIUM | 3 |
About Masayoshi Goto
Masayoshi Goto is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Pharmaceutical Science, having authored 49 papers that have together received 475 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Biochemical effects in animals (6 papers) and Pancreatitis Pathology and Treatment (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (202 citations), Radiological and Ultrasound Technology (22 citations) and Cardiology and Cardiovascular Medicine (82 citations). Masayoshi Goto has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hideomi Fukuda, Atsuko Yatani, Koki Kato, Kenichi Saito, Itsuro Nakano, Haruo Sato, Tetsuhide Ito, Hiroya Yamaguchi, Yutaka Imoto and Hajime Nawata. Their work appears in journals such as Brain Research, Life Sciences and Digestive Diseases and Sciences.
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.