Míriam Mecha
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Pharmacology top 0.5%
- Cannabis and Cannabinoid Research
Papers in
- Pharmacology 19
- Cannabis and Cannabinoid Research 19
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- Gut microbiota and health 3
- Co-authors
- Carmen Guaza (36 shared papers)Francisco J. Carrillo‐Salinas (25 shared papers)Ana Feliú (27 shared papers)Leyre Mestre (22 shared papers)Silvia Ortega‐Gutiérrez (6 shared papers)Ainoa Rueda‐Zubiaurre (2 shared papers)Rafael G. Sola (1 shared paper)Fabián Docagne (3 shared papers)
- Journals
- Glia (4 papers)Journal of Neuroinflammation (3 papers)Brain Behavior and Immunity (2 papers)PLoS ONE (2 papers)Multiple Sclerosis and Related Disorders (1 paper)
- Partner nations
- SpainUnited StatesSweden
In The Last Decade
Míriam Mecha
40 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 94
- Biological Psychiatry 224
- Pharmacology 1.1k
- Neurology 514
- Developmental Neuroscience 188
- Cellular and Molecular Neuroscience 533
Countries citing papers authored by Míriam Mecha
This map shows the geographic impact of Míriam Mecha'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 Míriam Mecha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Míriam Mecha more than expected).
Fields of papers citing papers by Míriam Mecha
This network shows the impact of papers produced by Míriam Mecha. 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 Míriam Mecha. The network helps show where Míriam Mecha may publish in the future.
Co-authors
The 25 scholars most cited alongside Míriam Mecha, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 215 | |
| 2 | 2015 | 185 | |
| 3 | 2012 | 132 | |
| 4 | 2016 | 128 | |
| 5 | 2018 | 128 | |
| 6 | 2012 | 106 | |
| 7 | 2012 | 106 | |
| 8 | 2014 | 86 | |
| 9 | 2012 | 75 | |
| 10 | 2014 | 69 | |
| 11 | 2014 | 62 | |
| 12 | 2015 | 60 | |
| 13 | 2011 | 58 | |
| 14 | 2014 | 58 | |
| 15 | 2011 | 53 | |
| 16 | 2017 | 53 | |
| 17 | 2011 | 50 | |
| 18 | 2018 | 49 | |
| 19 | 2018 | 44 | |
| 20 | 2017 | 42 |
About Míriam Mecha
Míriam Mecha is a scholar working on Pharmacology, Molecular Biology, Pathology and Forensic Medicine, Neurology and Immunology, having authored 41 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (19 papers), Neuroinflammation and Neurodegeneration Mechanisms (12 papers), Multiple Sclerosis Research Studies (12 papers), Tryptophan and brain disorders (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Immune Cell Function and Interaction (4 papers), Nerve injury and regeneration (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Biological Psychiatry (224 citations), Pharmacology (1.1k citations), Neurology (514 citations), Developmental Neuroscience (188 citations) and Cellular and Molecular Neuroscience (533 citations). Míriam Mecha has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Carmen Guaza, Francisco J. Carrillo‐Salinas, Ana Feliú, Leyre Mestre, Silvia Ortega‐Gutiérrez, Ainoa Rueda‐Zubiaurre, Rafael G. Sola, Fabián Docagne, Frida Loría and María L. López-Rodrı́guez. Their work appears in journals such as Glia, Journal of Neuroinflammation, Brain Behavior and Immunity, PLoS ONE and Multiple Sclerosis and Related Disorders.
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.