Takeru Shima
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
- Physiology 12
- Adipose Tissue and Metabolism 8
- Diet and metabolism studies 7
- Co-authors
- Hideaki Soya (15 shared papers)Mariko Soya (11 shared papers)Takashi Matsui (8 shared papers)Bruce S. McEwen (4 shared papers)Yu-Fan Liu (3 shared papers)Subrina Jesmin (19 shared papers)Kanako Takahashi (5 shared papers)Masahiro Okamoto (5 shared papers)
- Journals
- Physiology & Behavior (2 papers)Proceedings of the National Academy of Sciences (2 papers)Scientific Reports (2 papers)The FASEB Journal (1 paper)EXPERIMENTAL ANIMALS (1 paper)
- Partner nations
- JapanPakistanBangladesh
In The Last Decade
Takeru Shima
35 papers receiving 453 citations
Peers
Comparison fields: 5 of 79
- Developmental Neuroscience 60
- Behavioral Neuroscience 34
- Neurology 74
- Biological Psychiatry 20
- Physiology 147
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-authors
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
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 128 | |
| 2 | 2019 | 63 | |
| 3 | 2016 | 50 | |
| 4 | 2015 | 42 | |
| 5 | 2016 | 24 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 10 | |
| 9 | 2019 | 10 | |
| 10 | 2020 | 9 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2022 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2021 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2018 | 5 |
About Takeru Shima
Takeru Shima is a scholar working on Physiology, Molecular Biology, Surgery, Social Psychology and Cognitive Neuroscience, having authored 37 papers that have together received 455 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (8 papers), Diet and metabolism studies (7 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroendocrine regulation and behavior (3 papers), COVID-19 and Mental Health (3 papers), Stress Responses and Cortisol (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Developmental Neuroscience (60 citations), Behavioral Neuroscience (34 citations), Neurology (74 citations), Biological Psychiatry (20 citations) and Physiology (147 citations). Takeru Shima has collaborated with scholars based in Japan, Pakistan and Bangladesh. 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 Junko Shibato. Their work appears in journals such as Physiology & Behavior, Proceedings of the National Academy of Sciences, Scientific Reports, The FASEB Journal and EXPERIMENTAL ANIMALS.
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.