Nadja Schröder
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Cognitive Neuroscience top 2%
- Pharmacology top 0.5%
- Physiology top 5%
- Co-authors
- Rafael RoeslerMaria Noêmia Martins de LimaJoão QuevedoElke BrombergIván IzquierdoVanessa Athaíde GarciaDaniela Comparsi LaranjaFlávio Kapczinski
- Topics
- Neuroscience and Neuropharmacology Research (39 papers)Memory and Neural Mechanisms (25 papers)Stress Responses and Cortisol (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaBrain ResearchNeuroscience
- Partner nations
- BrazilArgentinaUnited States
In The Last Decade
Nadja Schröder
104 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cellular and Molecular Neuroscience 1.7k
- Molecular Biology 1.0k
- Cognitive Neuroscience 1.0k
- Pharmacology 978
- Physiology 539
Countries citing papers authored by Nadja Schröder
This map shows the geographic impact of Nadja Schröder'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 Nadja Schröder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadja Schröder more than expected).
Fields of papers citing papers by Nadja Schröder
This network shows the impact of papers produced by Nadja Schröder. 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 Nadja Schröder. The network helps show where Nadja Schröder may publish in the future.
Co-authorship network of co-authors of Nadja Schröder
This figure shows the co-authorship network connecting the top 25 collaborators of Nadja Schröder. A scholar is included among the top collaborators of Nadja Schröder 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 Nadja Schröder. Nadja Schröder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 48 | |
| 3 | 16 | |
| 4 | 20 | |
| 5 | 31 | |
| 6 | 49 | |
| 7 | 24 | |
| 8 | 7 | |
| 9 | 33 | |
| 10 | 28 | |
| 11 | 26 | |
| 12 | Ferro e neurodegeneração = Iron and neurodegeneration | 1 |
| 13 | 15 | |
| 14 | 99 | |
| 15 | 59 | |
| 16 | 34 | |
| 17 | 17 | |
| 18 | 74 | |
| 19 | 8 | |
| 20 | 6 |
About Nadja Schröder
Nadja Schröder is a scholar working on Behavioral Neuroscience, Biological Psychiatry and Developmental Neuroscience, having authored 104 papers that have together received 4.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (39 papers), Memory and Neural Mechanisms (25 papers) and Stress Responses and Cortisol (13 papers). The work is most often cited by research in Biological Psychiatry (296 citations), Behavioral Neuroscience (399 citations) and Cellular and Molecular Neuroscience (1.7k citations). Nadja Schröder has collaborated with scholars based in Brazil, Argentina and United States. Frequent co-authors include Rafael Roesler, Maria Noêmia Martins de Lima, João Quevedo, Elke Bromberg, Iván Izquierdo, Vanessa Athaíde Garcia, Daniela Comparsi Laranja, Flávio Kapczinski, Antônio Waldo Zuardi and Jaime E. C. Hallak. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and Neuroscience.
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.