Clarissa M. Maya‐Monteiro
- Molecular Biology top 10%
- Epidemiology top 5%
- Immunology top 5%
- Biochemistry top 0.5%
- Physiology top 10%
- Co-authors
- Patrı́cia T. BozzaPedro L. OliveiraHeloísa D’ÁvilaHugo C. Castro‐Faria‐NetoPatrícia E. de AlmeidaGabriela O. Paiva‐SilvaMarcos Henrique Ferreira SorginePatrícia Pacheco
- Topics
- Lipid metabolism and biosynthesis (15 papers)Regulation of Appetite and Obesity (8 papers)Adipokines, Inflammation, and Metabolic Diseases (7 papers)
- Cited by
- BiochemistryParasitologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Immunology
- Partner nations
- BrazilUnited StatesNetherlands
In The Last Decade
Clarissa M. Maya‐Monteiro
52 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 112
- Molecular Biology 875
- Epidemiology 498
- Immunology 482
- Biochemistry 481
- Physiology 350
Countries citing papers authored by Clarissa M. Maya‐Monteiro
This map shows the geographic impact of Clarissa M. Maya‐Monteiro'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 Clarissa M. Maya‐Monteiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clarissa M. Maya‐Monteiro more than expected).
Fields of papers citing papers by Clarissa M. Maya‐Monteiro
This network shows the impact of papers produced by Clarissa M. Maya‐Monteiro. 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 Clarissa M. Maya‐Monteiro. The network helps show where Clarissa M. Maya‐Monteiro may publish in the future.
Co-authorship network of co-authors of Clarissa M. Maya‐Monteiro
This figure shows the co-authorship network connecting the top 25 collaborators of Clarissa M. Maya‐Monteiro. A scholar is included among the top collaborators of Clarissa M. Maya‐Monteiro 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 Clarissa M. Maya‐Monteiro. Clarissa M. Maya‐Monteiro 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 | 2 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 8 | |
| 7 | 19 | |
| 8 | 29 | |
| 9 | 2 | |
| 10 | 9 | |
| 11 | 92 | |
| 12 | 17 | |
| 13 | 58 | |
| 14 | 19 | |
| 15 | 20 | |
| 16 | 145 | |
| 17 | 59 | |
| 18 | 89 | |
| 19 | 17 | |
| 20 | 81 |
About Clarissa M. Maya‐Monteiro
Clarissa M. Maya‐Monteiro is a scholar working on Biochemistry, Endocrine and Autonomic Systems and Parasitology, having authored 53 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (15 papers), Regulation of Appetite and Obesity (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). The work is most often cited by research in Biochemistry (481 citations), Parasitology (271 citations) and Immunology (482 citations). Clarissa M. Maya‐Monteiro has collaborated with scholars based in Brazil, United States and Netherlands. Frequent co-authors include Patrı́cia T. Bozza, Pedro L. Oliveira, Heloísa D’Ávila, Hugo C. Castro‐Faria‐Neto, Patrícia E. de Almeida, Gabriela O. Paiva‐Silva, Marcos Henrique Ferreira Sorgine, Patrícia Pacheco, João P. B. Viola and Marcus F. Oliveira. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.
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.