Carmen Vida
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
- Physiology 13
- Alzheimer's disease research and treatments 5
- Biochemical effects in animals 4
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- Tryptophan and brain disorders 11
- Co-authors
- Mónica De la Fuente (24 shared papers)Irene Martínez de Toda (16 shared papers)António Garrido (5 shared papers)Julia Cruces (3 shared papers)Eva González (2 shared papers)Ianire Maté (4 shared papers)Julia Carracedo (5 shared papers)Eva Carro (3 shared papers)
- Journals
- The Journals of Gerontology Series A (4 papers)International Journal of Molecular Sciences (3 papers)Biogerontology (2 papers)Free Radical Biology and Medicine (2 papers)Antioxidants (2 papers)
- Partner nations
- Spain
In The Last Decade
Carmen Vida
31 papers receiving 916 citations
Peers
Comparison fields: 5 of 110
- Biological Psychiatry 177
- Aging 75
- Behavioral Neuroscience 151
- Neurology 167
- Nephrology 93
Countries citing papers authored by Carmen Vida
This map shows the geographic impact of Carmen Vida'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 Vida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmen Vida more than expected).
Fields of papers citing papers by Carmen Vida
This network shows the impact of papers produced by Carmen Vida. 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 Vida. The network helps show where Carmen Vida may publish in the future.
Co-authors
The 25 scholars most cited alongside Carmen Vida, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 105 | |
| 2 | 2017 | 92 | |
| 3 | 2014 | 89 | |
| 4 | 2020 | 85 | |
| 5 | 2018 | 49 | |
| 6 | 2012 | 43 | |
| 7 | 2019 | 42 | |
| 8 | 2019 | 42 | |
| 9 | 2018 | 38 | |
| 10 | 2018 | 31 | |
| 11 | 2011 | 30 | |
| 12 | 2019 | 30 | |
| 13 | 2019 | 30 | |
| 14 | 2011 | 28 | |
| 15 | 2019 | 27 | |
| 16 | 2021 | 27 | |
| 17 | 2021 | 22 | |
| 18 | 2016 | 19 | |
| 19 | 2017 | 19 | |
| 20 | 2020 | 15 |
About Carmen Vida
Carmen Vida is a scholar working on Physiology, Biological Psychiatry, Neurology, Behavioral Neuroscience and Nephrology, having authored 31 papers that have together received 926 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Stress Responses and Cortisol (8 papers), Alzheimer's disease research and treatments (5 papers), Biochemical effects in animals (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Dialysis and Renal Disease Management (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Biological Psychiatry (177 citations), Aging (75 citations), Behavioral Neuroscience (151 citations), Neurology (167 citations) and Nephrology (93 citations). Carmen Vida has collaborated with scholars based in Spain. Frequent co-authors include Mónica De la Fuente, Irene Martínez de Toda, António Garrido, Julia Cruces, Eva González, Ianire Maté, Julia Carracedo, Eva Carro, Matilde Alique and M. González-Sánchez. Their work appears in journals such as The Journals of Gerontology Series A, International Journal of Molecular Sciences, Biogerontology, Free Radical Biology and Medicine and Antioxidants.
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.