Maísa Corrêa
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Biochemical effects in animals
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
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- Cholinesterase and Neurodegenerative Diseases 7
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- Adenosine and Purinergic Signaling 7
- Co-authors
- Maria Rosa Chitolina Schetinger (14 shared papers)Vera Maria Morsch (13 shared papers)Cinthia M. Mazzanti (11 shared papers)Naiara Stefanello (7 shared papers)Roberta Schmatz (7 shared papers)Rosélia Maria Spanevello (7 shared papers)Jessié Martins Gutierres (2 shared papers)Maribel Antonello Rubin (1 shared paper)
- Journals
- Thrombosis Research (1 paper)Diabetes Research and Clinical Practice (1 paper)European Journal of Pharmacology (1 paper)Chemico-Biological Interactions (1 paper)International Journal of Developmental Neuroscience (1 paper)
- Partner nations
- Brazil
In The Last Decade
Maísa Corrêa
14 papers receiving 513 citations
Peers
Comparison fields: 5 of 85
- Physiology 102
- Geriatrics and Gerontology 50
- Biological Psychiatry 19
- Pharmacology 125
- Neurology 61
Countries citing papers authored by Maísa Corrêa
This map shows the geographic impact of Maísa Corrêa'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 Maísa Corrêa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maísa Corrêa more than expected).
Fields of papers citing papers by Maísa Corrêa
This network shows the impact of papers produced by Maísa Corrêa. 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 Maísa Corrêa. The network helps show where Maísa Corrêa may publish in the future.
Co-authors
The 25 scholars most cited alongside Maísa Corrêa, 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 | 2009 | 210 | |
| 2 | 2006 | 46 | |
| 3 | 2008 | 38 | |
| 4 | 2007 | 37 | |
| 5 | 2009 | 32 | |
| 6 | 2009 | 32 | |
| 7 | 2009 | 31 | |
| 8 | 2009 | 28 | |
| 9 | 2008 | 24 | |
| 10 | 2006 | 23 | |
| 11 | 2006 | 13 | |
| 12 | 2009 | 5 | |
| 13 | 2010 | 3 | |
| 14 | 2004 | 1 |
About Maísa Corrêa
Maísa Corrêa is a scholar working on Pharmacology, Physiology, Plant Science, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health, having authored 14 papers that have together received 523 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (7 papers), Adenosine and Purinergic Signaling (7 papers), Pesticide Exposure and Toxicity (5 papers), Neuroscience and Neuropharmacology Research (2 papers), Neonatal Health and Biochemistry (2 papers), Medicinal Plants and Neuroprotection (2 papers), Insect and Pesticide Research (2 papers) and Folate and B Vitamins Research (1 paper). The work is most often cited by research in Physiology (102 citations), Geriatrics and Gerontology (50 citations), Biological Psychiatry (19 citations), Pharmacology (125 citations) and Neurology (61 citations). Maísa Corrêa has collaborated with scholars based in Brazil. Frequent co-authors include Maria Rosa Chitolina Schetinger, Vera Maria Morsch, Cinthia M. Mazzanti, Naiara Stefanello, Roberta Schmatz, Rosélia Maria Spanevello, Jessié Martins Gutierres, Maribel Antonello Rubin, Michelle Melgarejo da Rosa and André Morsch. Their work appears in journals such as Thrombosis Research, Diabetes Research and Clinical Practice, European Journal of Pharmacology, Chemico-Biological Interactions and International Journal of Developmental Neuroscience.
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.