Fernanda Marques da Cunha
- Molecular Biology top 10%
- Food Science top 2%
- Plant Science top 5%
- Physiology top 10%
- Pharmacology top 5%
- Co-authors
- Alicia J. KowaltowskiJoão Β. CalixtoMaria M. CamposGiselle F. PassosElizabeth S. FernandesJuliano FerreiraLuiz F. PianowskiRodrigo Medeiros
- Topics
- Genetics, Aging, and Longevity in Model Organisms (10 papers)Mitochondrial Function and Pathology (8 papers)Adipose Tissue and Metabolism (6 papers)
- Cited by
- AgingFood ScienceBiochemistry
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- BrazilUnited KingdomFrance
In The Last Decade
Fernanda Marques da Cunha
32 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 885
- Food Science 381
- Plant Science 363
- Physiology 297
- Pharmacology 153
Countries citing papers authored by Fernanda Marques da Cunha
This map shows the geographic impact of Fernanda Marques da Cunha'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 Fernanda Marques da Cunha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernanda Marques da Cunha more than expected).
Fields of papers citing papers by Fernanda Marques da Cunha
This network shows the impact of papers produced by Fernanda Marques da Cunha. 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 Fernanda Marques da Cunha. The network helps show where Fernanda Marques da Cunha may publish in the future.
Co-authorship network of co-authors of Fernanda Marques da Cunha
This figure shows the co-authorship network connecting the top 25 collaborators of Fernanda Marques da Cunha. A scholar is included among the top collaborators of Fernanda Marques da Cunha 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 Fernanda Marques da Cunha. Fernanda Marques da Cunha 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 | 7 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 29 | |
| 6 | 9 | |
| 7 | 13 | |
| 8 | 21 | |
| 9 | 3 | |
| 10 | 31 | |
| 11 | 27 | |
| 12 | 24 | |
| 13 | 52 | |
| 14 | 18 | |
| 15 | 34 | |
| 16 | 52 | |
| 17 | 56 | |
| 18 | 75 | |
| 19 | Anti-inflammatory effects of compounds alpha-humulene and (−)-trans-caryophyllene isolated from the essential oil of Cordia verbenaceabreakdown → | 457 |
| 20 | 176 |
About Fernanda Marques da Cunha
Fernanda Marques da Cunha is a scholar working on Aging, Endocrine and Autonomic Systems and Biochemistry, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (10 papers), Mitochondrial Function and Pathology (8 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Aging (123 citations), Food Science (381 citations) and Biochemistry (111 citations). Fernanda Marques da Cunha has collaborated with scholars based in Brazil, United Kingdom and France. Frequent co-authors include Alicia J. Kowaltowski, João Β. Calixto, Maria M. Campos, Giselle F. Passos, Elizabeth S. Fernandes, Juliano Ferreira, Luiz F. Pianowski, Rodrigo Medeiros, Fernanda M. Cerqueira and Danielle Duma. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.