Germana Silva Vasconcelos
- Biological Psychiatry top 2%
- Molecular Biology
- Cellular and Molecular Neuroscience
- Behavioral Neuroscience top 5%
- Plant Science
- Co-authors
- Silvânia Maria Mendes VasconcelosDanielle S. MacêdoCaren Nádia Soares de SousaNaiara Coelho XimenesManoel Cláudio Azevedo PatrocínioDavid Freitas de LucenaLuzia Kalyne Almeida Moreira LealClarissa Severino Gama
- Topics
- Tryptophan and brain disorders (15 papers)Stress Responses and Cortisol (6 papers)Biochemical Acid Research Studies (6 papers)
- Partner nations
- BrazilUnited StatesCanada
In The Last Decade
Germana Silva Vasconcelos
28 papers receiving 627 citations
Peers
Comparison fields: 5 of 106
- Biological Psychiatry 186
- Molecular Biology 119
- Cellular and Molecular Neuroscience 101
- Behavioral Neuroscience 89
- Plant Science 84
Countries citing papers authored by Germana Silva Vasconcelos
This map shows the geographic impact of Germana Silva Vasconcelos'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 Germana Silva Vasconcelos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Germana Silva Vasconcelos more than expected).
Fields of papers citing papers by Germana Silva Vasconcelos
This network shows the impact of papers produced by Germana Silva Vasconcelos. 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 Germana Silva Vasconcelos. The network helps show where Germana Silva Vasconcelos may publish in the future.
Co-authorship network of co-authors of Germana Silva Vasconcelos
This figure shows the co-authorship network connecting the top 25 collaborators of Germana Silva Vasconcelos. A scholar is included among the top collaborators of Germana Silva Vasconcelos 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 Germana Silva Vasconcelos. Germana Silva Vasconcelos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 22 | |
| 6 | 4 | |
| 7 | 15 | |
| 8 | 10 | |
| 9 | 11 | |
| 10 | 14 | |
| 11 | 2 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | 43 | |
| 15 | 75 | |
| 16 | 43 | |
| 17 | 170 | |
| 18 | 50 | |
| 19 | 36 | |
| 20 | 21 |
About Germana Silva Vasconcelos
Germana Silva Vasconcelos is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Biochemistry, having authored 29 papers that have together received 652 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (15 papers), Stress Responses and Cortisol (6 papers) and Biochemical Acid Research Studies (6 papers). The work is most often cited by research in Biological Psychiatry (186 citations), Behavioral Neuroscience (89 citations) and Biochemistry (79 citations). Germana Silva Vasconcelos has collaborated with scholars based in Brazil, United States and Canada. Frequent co-authors include Silvânia Maria Mendes Vasconcelos, Danielle S. Macêdo, Caren Nádia Soares de Sousa, Naiara Coelho Ximenes, Manoel Cláudio Azevedo Patrocínio, David Freitas de Lucena, Luzia Kalyne Almeida Moreira Leal, Clarissa Severino Gama, Carlos Clayton Torres Aguiar and Edna Maria Camelo Chaves. Their work appears in journals such as Annals of the New York Academy of Sciences, Neuroscience and Emerging infectious diseases.
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.