Carmen Sandi
Impact in
- Behavioral Neuroscience top 0.01%
- Stress Responses and Cortisol
- Biological Psychiatry top 0.05%
- Tryptophan and brain disorders
Papers in
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- Stress Responses and Cortisol 142
-
- Tryptophan and brain disorders 34
- Co-authors
- María I. CorderoCésar VeneroCarmen GuazaJózsef HallerSteven P. R. RoseJaime MerinoGal Richter‐LevinMarı́a Loscertales
- Journals
- European Journal of Neuroscience (16 papers)Neuroscience (12 papers)Psychoneuroendocrinology (11 papers)Translational Psychiatry (10 papers)PLoS ONE (9 papers)
- Partner nations
- SwitzerlandSpainUnited Kingdom
In The Last Decade
Carmen Sandi
243 papers receiving 14.4k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Behavioral Neuroscience 6.2k
- Biological Psychiatry 1.9k
- Developmental Neuroscience 1.4k
- Social Psychology 4.5k
- Cellular and Molecular Neuroscience 3.9k
Countries citing papers authored by Carmen Sandi
This map shows the geographic impact of Carmen Sandi'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 Carmen Sandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Sandi more than expected).
Fields of papers citing papers by Carmen Sandi
This network shows the impact of papers produced by Carmen Sandi. 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 Carmen Sandi. The network helps show where Carmen Sandi may publish in the future.
Co-authors
The 25 scholars most cited alongside Carmen Sandi, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 6 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 20 | |
| 9 | 2020 | 6 | |
| 10 | 2018 | 83 | |
| 11 | 2015 | 209 | |
| 12 | 2015 | 26 | |
| 13 | 2014 | 22 | |
| 14 | 2013 | 4 | |
| 15 | 2013 | 11 | |
| 16 | 2012 | 49 | |
| 17 | Stress, noradrenaline, and realistic prediction of mouse behaviour using reinforcement learning | 2008 | 2 |
| 18 | 2008 | 56 | |
| 19 | 2006 | 163 | |
| 20 | 2005 | 65 |
About Carmen Sandi
Carmen Sandi is a scholar working on Behavioral Neuroscience, Biological Psychiatry, Developmental Neuroscience, Cellular and Molecular Neuroscience and Social Psychology, having authored 248 papers that have together received 14.6k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (142 papers), Neuroendocrine regulation and behavior (87 papers), Neuroscience and Neuropharmacology Research (61 papers), Memory and Neural Mechanisms (54 papers), Tryptophan and brain disorders (34 papers), Neuroinflammation and Neurodegeneration Mechanisms (22 papers), Neurotransmitter Receptor Influence on Behavior (16 papers) and Neurogenesis and neuroplasticity mechanisms (16 papers). The work is most often cited by research in Behavioral Neuroscience (6.2k citations), Biological Psychiatry (1.9k citations), Developmental Neuroscience (1.4k citations), Social Psychology (4.5k citations) and Cellular and Molecular Neuroscience (3.9k citations). Carmen Sandi has collaborated with scholars based in Switzerland, Spain and United Kingdom. Frequent co-authors include María I. Cordero, César Venero, Carmen Guaza, József Haller, Steven P. R. Rose, Jaime Merino, Gal Richter‐Levin, Marı́a Loscertales, Olivia Zanoletti and Michael A. van der Kooij. Their work appears in journals such as European Journal of Neuroscience, Neuroscience, Psychoneuroendocrinology, Translational Psychiatry and PLoS ONE.
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.