Fernando G. de Mello
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Physiology top 5%
- Pharmacology top 2%
- Epidemiology top 10%
- Co-authors
- Ricardo Augusto de Melo ReisAna Lúcia Marques VenturaWilliam L. KleinMaria Christina F. de MelloSérgio T. FerreiraP.F. GardinoAndrea Paula-LimaMarshall W. Nirenberg
- Topics
- Neuroscience and Neuropharmacology Research (52 papers)Retinal Development and Disorders (44 papers)Receptor Mechanisms and Signaling (21 papers)
- Partner nations
- BrazilUnited StatesCzechia
In The Last Decade
Fernando G. de Mello
97 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 1.8k
- Cellular and Molecular Neuroscience 1.7k
- Physiology 657
- Pharmacology 455
- Epidemiology 304
Countries citing papers authored by Fernando G. de Mello
This map shows the geographic impact of Fernando G. de Mello'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 Fernando G. de Mello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando G. de Mello more than expected).
Fields of papers citing papers by Fernando G. de Mello
This network shows the impact of papers produced by Fernando G. de Mello. 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 Fernando G. de Mello. The network helps show where Fernando G. de Mello may publish in the future.
Co-authorship network of co-authors of Fernando G. de Mello
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando G. de Mello. A scholar is included among the top collaborators of Fernando G. de Mello 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 Fernando G. de Mello. Fernando G. de Mello is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 12 | |
| 3 | 13 | |
| 4 | 82 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | 13 | |
| 8 | 62 | |
| 9 | 24 | |
| 10 | 15 | |
| 11 | 15 | |
| 12 | 44 | |
| 13 | 48 | |
| 14 | 36 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | 14 | |
| 18 | 41 | |
| 19 | Neurotransmitter release in aggregate cultures of chick embryo retina cells. | 10 |
| 20 | 20 |
About Fernando G. de Mello
Fernando G. de Mello is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Physiology, having authored 99 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (52 papers), Retinal Development and Disorders (44 papers) and Receptor Mechanisms and Signaling (21 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Physiology (245 citations) and Developmental Neuroscience (209 citations). Fernando G. de Mello has collaborated with scholars based in Brazil, United States and Czechia. Frequent co-authors include Ricardo Augusto de Melo Reis, Ana Lúcia Marques Ventura, William L. Klein, Maria Christina F. de Mello, Sérgio T. Ferreira, P.F. Gardino, Andrea Paula-Lima, Marshall W. Nirenberg, Paulo Roberto Louzada and Regina Célia Cussa Kubrusly. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.