S Makino
- Behavioral Neuroscience top 0.2%
- Cellular and Molecular Neuroscience top 2%
- Social Psychology top 2%
- Developmental Neuroscience top 0.5%
- Biological Psychiatry top 1%
- Co-authors
- Richard KvětňanskýPost RmMark A. SmithJay SchulkinKarel PacákMalcolm A. SmithP W GoldMiklós Palkovits
- Topics
- Stress Responses and Cortisol (11 papers)Adipose Tissue and Metabolism (4 papers)Neuroendocrine regulation and behavior (3 papers)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
S Makino
17 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Behavioral Neuroscience 1.2k
- Cellular and Molecular Neuroscience 888
- Social Psychology 540
- Developmental Neuroscience 534
- Biological Psychiatry 365
Countries citing papers authored by S Makino
This map shows the geographic impact of S Makino'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 S Makino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Makino more than expected).
Fields of papers citing papers by S Makino
This network shows the impact of papers produced by S Makino. 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 S Makino. The network helps show where S Makino may publish in the future.
Co-authorship network of co-authors of S Makino
This figure shows the co-authorship network connecting the top 25 collaborators of S Makino. A scholar is included among the top collaborators of S Makino 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 S Makino. S Makino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 26 | |
| 5 | 31 | |
| 6 | 10 | |
| 7 | Stress and glucocorticoids affect the expression of brain-derived neurotrophic factor and neurotrophin-3 mRNAs in the hippocampusbreakdown → | 1196 |
| 8 | 202 | |
| 9 | 65 | |
| 10 | 296 | |
| 11 | 169 | |
| 12 | 94 | |
| 13 | 11 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | [Epidemiologic studies on cleft lip and/or palate. I. The classification of cleft types in the general population]. | 2 |
| 17 | Effect of beclomethasone dipropionate inhalations on adrenal function. | 3 |
About S Makino
S Makino is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Endocrine and Autonomic Systems, having authored 17 papers that have together received 2.1k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (11 papers), Adipose Tissue and Metabolism (4 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Behavioral Neuroscience (1.2k citations), Biological Psychiatry (365 citations) and Developmental Neuroscience (534 citations). S Makino has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Richard Květňanský, Post Rm, Mark A. Smith, Jay Schulkin, Karel Pacák, Malcolm A. Smith, P W Gold, Miklós Palkovits, Kozo Hashimoto and Megan Altemus. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Endocrinology.
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.