Fernanda Gaspar do Amaral
- Endocrine and Autonomic Systems top 0.2%
- Physiology top 2%
- Pediatrics, Perinatology and Child Health top 2%
- Molecular Biology
- Experimental and Cognitive Psychology top 5%
- Co-authors
- José Cipolla‐NetoSolange Castro AfecheRüssel J. ReiterDun Xian TanRodrigo Antonio Peliciari‐GarciaSilvana BordinRafael PeresDaniella do Carmo Buonfiglio
- Topics
- Circadian rhythm and melatonin (64 papers)Birth, Development, and Health (23 papers)Adipose Tissue and Metabolism (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEEndocrine Reviews
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Fernanda Gaspar do Amaral
70 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Endocrine and Autonomic Systems 1.9k
- Physiology 889
- Pediatrics, Perinatology and Child Health 443
- Molecular Biology 375
- Experimental and Cognitive Psychology 327
Countries citing papers authored by Fernanda Gaspar do Amaral
This map shows the geographic impact of Fernanda Gaspar do Amaral'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 Gaspar do Amaral with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernanda Gaspar do Amaral more than expected).
Fields of papers citing papers by Fernanda Gaspar do Amaral
This network shows the impact of papers produced by Fernanda Gaspar do Amaral. 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 Gaspar do Amaral. The network helps show where Fernanda Gaspar do Amaral may publish in the future.
Co-authorship network of co-authors of Fernanda Gaspar do Amaral
This figure shows the co-authorship network connecting the top 25 collaborators of Fernanda Gaspar do Amaral. A scholar is included among the top collaborators of Fernanda Gaspar do Amaral 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 Gaspar do Amaral. Fernanda Gaspar do Amaral 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 | 1 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 13 | |
| 12 | 50 | |
| 13 | 17 | |
| 14 | 9 | |
| 15 | 20 | |
| 16 | 27 | |
| 17 | 11 | |
| 18 | 7 | |
| 19 | 25 | |
| 20 | 21 |
About Fernanda Gaspar do Amaral
Fernanda Gaspar do Amaral is a scholar working on Endocrine and Autonomic Systems, Pediatrics, Perinatology and Child Health and Physiology, having authored 77 papers that have together received 2.8k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (64 papers), Birth, Development, and Health (23 papers) and Adipose Tissue and Metabolism (12 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.9k citations), Aging (101 citations) and Biological Psychiatry (143 citations). Fernanda Gaspar do Amaral has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include José Cipolla‐Neto, Solange Castro Afeche, Rüssel J. Reiter, Dun Xian Tan, Rodrigo Antonio Peliciari‐Garcia, Silvana Bordin, Rafael Peres, Daniella do Carmo Buonfiglio, Ovidiu Constantin Baltatu and Luciana Aparecida Campos. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Endocrine Reviews.
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.