Maria Renner
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Vestibular and auditory disorders
Papers in
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- Neuroscience and Neuropharmacology Research 5
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- Memory and Neural Mechanisms 3
- Co-authors
- Helmut W. Kessels (4 shared papers)Niels R. Reinders (2 shared papers)Nicolás Gutiérrez‐Castellanos (2 shared papers)Pedro Bekinschtein (2 shared papers)Roberto Malinow (1 shared paper)Noelia Weisstaub (2 shared papers)María Carolina González (1 shared paper)Rolf Sprengel (1 shared paper)
- Journals
- PLoS ONE (2 papers)Nature Communications (1 paper)Toxicology in Vitro (1 paper)FEBS Letters (1 paper)Neuron (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Maria Renner
11 papers receiving 406 citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 222
- Neurology 61
- Biological Psychiatry 17
- Cognitive Neuroscience 104
- Sensory Systems 23
Countries citing papers authored by Maria Renner
This map shows the geographic impact of Maria Renner'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 Maria Renner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Renner more than expected).
Fields of papers citing papers by Maria Renner
This network shows the impact of papers produced by Maria Renner. 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 Maria Renner. The network helps show where Maria Renner may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Renner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 111 | |
| 2 | 2017 | 81 | |
| 3 | 2017 | 62 | |
| 4 | 2013 | 48 | |
| 5 | 2015 | 33 | |
| 6 | 2015 | 24 | |
| 7 | 2018 | 22 | |
| 8 | 2015 | 11 | |
| 9 | 1988 | 8 | |
| 10 | 2015 | 5 | |
| 11 | 2013 | 2 | |
| 12 | Der Wartegg-Zeichentest im Dienste der Erziehungsberatung | 1953 | 2 |
About Maria Renner
Maria Renner is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Physiology, Molecular Biology and Oncology, having authored 12 papers that have together received 409 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Alzheimer's disease research and treatments (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Pharmacogenetics and Drug Metabolism (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (222 citations), Neurology (61 citations), Biological Psychiatry (17 citations), Cognitive Neuroscience (104 citations) and Sensory Systems (23 citations). Maria Renner has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Helmut W. Kessels, Niels R. Reinders, Nicolás Gutiérrez‐Castellanos, Pedro Bekinschtein, Roberto Malinow, Noelia Weisstaub, María Carolina González, Rolf Sprengel, Cathrin B. Canto and Kuikui Zhou. Their work appears in journals such as PLoS ONE, Nature Communications, Toxicology in Vitro, FEBS Letters and Neuron.
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.