Maíra Cola
- Molecular Biology
- Pharmacology top 10%
- Plant Science
- Physiology
- Pharmacology top 5%
- Co-authors
- Rafael C. DutraJoão Β. CalixtoRodrigo MarconDaniela Ferraz Pereira LeiteRafaela Franco ClaudinoAllisson Freire BentoAdair R.S. SantosElaine Cristina Dalazen Gonçalves
- Topics
- Helicobacter pylori-related gastroenterology studies (6 papers)Pain Mechanisms and Treatments (3 papers)Genomics, phytochemicals, and oxidative stress (2 papers)
- Cited by
- Biological PsychiatryPharmacology
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesAmerican Journal Of Pathology
- Partner nations
- BrazilItalyUnited States
In The Last Decade
Maíra Cola
21 papers receiving 883 citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 305
- Pharmacology 164
- Plant Science 161
- Physiology 130
- Pharmacology 126
Countries citing papers authored by Maíra Cola
This map shows the geographic impact of Maíra Cola'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 Maíra Cola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maíra Cola more than expected).
Fields of papers citing papers by Maíra Cola
This network shows the impact of papers produced by Maíra Cola. 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 Maíra Cola. The network helps show where Maíra Cola may publish in the future.
Co-authorship network of co-authors of Maíra Cola
This figure shows the co-authorship network connecting the top 25 collaborators of Maíra Cola. A scholar is included among the top collaborators of Maíra Cola 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 Maíra Cola. Maíra Cola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 18 | |
| 6 | 70 | |
| 7 | 11 | |
| 8 | 34 | |
| 9 | 143 | |
| 10 | 4 | |
| 11 | 27 | |
| 12 | 18 | |
| 13 | 46 | |
| 14 | 36 | |
| 15 | 206 | |
| 16 | 27 | |
| 17 | 18 | |
| 18 | 22 | |
| 19 | 40 | |
| 20 | 34 |
About Maíra Cola
Maíra Cola is a scholar working on Sensory Systems, Biological Psychiatry and Anesthesiology and Pain Medicine, having authored 23 papers that have together received 911 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (6 papers), Pain Mechanisms and Treatments (3 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Biological Psychiatry (47 citations), Pharmacology (126 citations) and Pharmacology (164 citations). Maíra Cola has collaborated with scholars based in Brazil, Italy and United States. Frequent co-authors include Rafael C. Dutra, João Β. Calixto, Rodrigo Marcon, Daniela Ferraz Pereira Leite, Rafaela Franco Claudino, Allisson Freire Bento, Adair R.S. Santos, Elaine Cristina Dalazen Gonçalves, Ânderson Luiz-Ferreira and Wagner Vilegas. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and American Journal Of Pathology.
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.