Yoko Shimoda
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Oncology
- Radiology, Nuclear Medicine and Imaging
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Masayuki FujinagaTomoteru YamasakiMing‐Rong ZhangLin XieJoji YuiKatsushi KumataAkiko HatoriEijiro Yamada
- Topics
- Neuroscience and Neuropharmacology Research (10 papers)Metabolism, Diabetes, and Cancer (8 papers)Diabetes Treatment and Management (8 papers)
- Cited by
- Biological PsychiatryCellular and Molecular NeuroscienceEndocrinology, Diabetes and Metabolism
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Yoko Shimoda
41 papers receiving 532 citations
Peers
Comparison fields: 5 of 70
- Molecular Biology 231
- Cellular and Molecular Neuroscience 136
- Oncology 109
- Radiology, Nuclear Medicine and Imaging 108
- Endocrinology, Diabetes and Metabolism 91
Countries citing papers authored by Yoko Shimoda
This map shows the geographic impact of Yoko Shimoda'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 Yoko Shimoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoko Shimoda more than expected).
Fields of papers citing papers by Yoko Shimoda
This network shows the impact of papers produced by Yoko Shimoda. 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 Yoko Shimoda. The network helps show where Yoko Shimoda may publish in the future.
Co-authorship network of co-authors of Yoko Shimoda
This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Shimoda. A scholar is included among the top collaborators of Yoko Shimoda 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 Yoko Shimoda. Yoko Shimoda 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 | 2 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | 3 | |
| 7 | 35 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 35 | |
| 11 | 15 | |
| 12 | 6 | |
| 13 | 9 | |
| 14 | 15 | |
| 15 | 51 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 15 | |
| 19 | 11 | |
| 20 | 2 |
About Yoko Shimoda
Yoko Shimoda is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 539 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Metabolism, Diabetes, and Cancer (8 papers) and Diabetes Treatment and Management (8 papers). The work is most often cited by research in Biological Psychiatry (28 citations), Cellular and Molecular Neuroscience (136 citations) and Endocrinology, Diabetes and Metabolism (91 citations). Yoko Shimoda has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Masayuki Fujinaga, Tomoteru Yamasaki, Ming‐Rong Zhang, Lin Xie, Joji Yui, Katsushi Kumata, Akiko Hatori, Eijiro Yamada, Shuichi Okada and Yiding Zhang. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Scientific Reports.
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.