Takeru Shima
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Neurogenesis and neuroplasticity mechanisms 4
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- Stress Responses and Cortisol 3
- Co-authors
- Hideaki SoyaMariko SoyaTakashi MatsuiBruce S. McEwenYu-Fan LiuSubrina JesminKanako TakahashiMasahiro Okamoto
- Journals
- Scientific Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Physiology & Behavior (2 papers)European Journal of Applied Physiology (1 paper)Molecular Nutrition & Food Research (1 paper)
- Partner nations
- JapanBangladeshPakistan
In The Last Decade
Takeru Shima
34 papers receiving 439 citations
Peers
Comparison fields: 5 of 79
- Developmental Neuroscience 61
- Biological Psychiatry 30
- Behavioral Neuroscience 39
- Neurology 86
- Physiology 175
Countries citing papers authored by Takeru Shima
This map shows the geographic impact of Takeru Shima'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 Takeru Shima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeru Shima more than expected).
Fields of papers citing papers by Takeru Shima
This network shows the impact of papers produced by Takeru Shima. 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 Takeru Shima. The network helps show where Takeru Shima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takeru Shima, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 7 | |
| 9 | 2022 | 5 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 9 | |
| 15 | 2019 | 10 | |
| 16 | 2019 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2016 | 50 | |
| 19 | 2016 | 24 | |
| 20 | 2015 | 39 |
About Takeru Shima
Takeru Shima is a scholar working on Developmental Neuroscience, Behavioral Neuroscience, Endocrine and Autonomic Systems, Physiology and Modeling and Simulation, having authored 37 papers that have together received 441 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Diet and metabolism studies (7 papers), Neuroendocrine regulation and behavior (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), MicroRNA in disease regulation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), COVID-19 and Mental Health (3 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Developmental Neuroscience (61 citations), Biological Psychiatry (30 citations), Behavioral Neuroscience (39 citations), Neurology (86 citations) and Physiology (175 citations). Takeru Shima has collaborated with scholars based in Japan, Bangladesh and Pakistan. Frequent co-authors include Hideaki Soya, Mariko Soya, Takashi Matsui, Bruce S. McEwen, Yu-Fan Liu, Subrina Jesmin, Kanako Takahashi, Masahiro Okamoto, Jang Soo Yook and Mitsushi Ikemoto. Their work appears in journals such as Scientific Reports, Proceedings of the National Academy of Sciences, Physiology & Behavior, European Journal of Applied Physiology and Molecular Nutrition & Food 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.