Daniela Delwing de Lima
- Molecular Biology
- Physiology
- Biological Psychiatry top 5%
- Behavioral Neuroscience top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Débora Delwing Dal MagroÂngela Terezinha de Souza WyseDébora DelwingAndré Felipe RodriguesAline Andrea da CunhaAna Lúcia Bertarello ZeniFelipe SchmitzMaira J. da Cunha
- Topics
- Tryptophan and brain disorders (9 papers)Biochemical effects in animals (8 papers)Bipolar Disorder and Treatment (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsBrain Research
In The Last Decade
Daniela Delwing de Lima
51 papers receiving 648 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 138
- Physiology 135
- Biological Psychiatry 119
- Behavioral Neuroscience 76
- Cellular and Molecular Neuroscience 75
Countries citing papers authored by Daniela Delwing de Lima
This map shows the geographic impact of Daniela Delwing de Lima'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 Daniela Delwing de Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Delwing de Lima more than expected).
Fields of papers citing papers by Daniela Delwing de Lima
This network shows the impact of papers produced by Daniela Delwing de Lima. 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 Daniela Delwing de Lima. The network helps show where Daniela Delwing de Lima may publish in the future.
Co-authorship network of co-authors of Daniela Delwing de Lima
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Delwing de Lima. A scholar is included among the top collaborators of Daniela Delwing de Lima 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 Daniela Delwing de Lima. Daniela Delwing de Lima 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 | 3 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 11 | |
| 7 | 19 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 20 | |
| 11 | 5 | |
| 12 | 19 | |
| 13 | 8 | |
| 14 | 26 | |
| 15 | Anxiolytic effects of swimming exercise and ethanol in two behavioral models: beneficial effects and increased sensitivity in mice | 7 |
| 16 | The Power of Classic Music to Reduce Anxiety in Rats Treated with Simvastatin | 5 |
| 17 | 23 | |
| 18 | 12 | |
| 19 | 22 | |
| 20 | 7 |
About Daniela Delwing de Lima
Daniela Delwing de Lima is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Biochemistry, having authored 54 papers that have together received 655 indexed citations. Recurring topics across this work include Tryptophan and brain disorders (9 papers), Biochemical effects in animals (8 papers) and Bipolar Disorder and Treatment (5 papers). The work is most often cited by research in Biological Psychiatry (119 citations), Behavioral Neuroscience (76 citations) and Biochemistry (72 citations). Daniela Delwing de Lima has collaborated with scholars based in Brazil, Chile and Mexico. Frequent co-authors include Débora Delwing Dal Magro, Ângela Terezinha de Souza Wyse, Débora Delwing, André Felipe Rodrigues, Aline Andrea da Cunha, Ana Lúcia Bertarello Zeni, Felipe Schmitz, Maira J. da Cunha, Ângela Sitta and Bruno B. Castro. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Brain Research.
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.