Dávid Brenner
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
- Co-authors
- Jochen H. Weishaupt (21 shared papers)Albert C. Ludolph (13 shared papers)Axel Freischmidt (7 shared papers)Karin M. Danzer (6 shared papers)Ana Martín-Villalba (2 shared papers)Jan Kassubek (3 shared papers)Veselin Grozdanov (2 shared papers)Wolfgang Ruf (2 shared papers)
- Journals
- Neurobiology of Aging (4 papers)Neurogenetics (2 papers)Current Opinion in Neurology (2 papers)The Journal of Experimental Medicine (1 paper)EBioMedicine (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Dávid Brenner
29 papers receiving 713 citations
Peers
Comparison fields: 5 of 95
- Neurology 212
- Neurology 367
- Biological Psychiatry 54
- Genetics 120
- Cellular and Molecular Neuroscience 97
Countries citing papers authored by Dávid Brenner
This map shows the geographic impact of Dávid Brenner'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 Dávid Brenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Brenner more than expected).
Fields of papers citing papers by Dávid Brenner
This network shows the impact of papers produced by Dávid Brenner. 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 Dávid Brenner. The network helps show where Dávid Brenner may publish in the future.
Co-authors
The 25 scholars most cited alongside Dávid Brenner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 226 | |
| 2 | 2017 | 116 | |
| 3 | 2019 | 50 | |
| 4 | 2007 | 42 | |
| 5 | 1976 | 40 | |
| 6 | 2018 | 40 | |
| 7 | 2022 | 39 | |
| 8 | 2015 | 32 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 17 | |
| 11 | 2020 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2020 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2008 | 10 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2010 | 6 | |
| 20 | 2024 | 4 |
About Dávid Brenner
Dávid Brenner is a scholar working on Neurology, Genetics, Molecular Biology, Neurology and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 735 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (19 papers), Neurogenetic and Muscular Disorders Research (10 papers), Genetic Neurodegenerative Diseases (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neurological diseases and metabolism (3 papers), Urban Stormwater Management Solutions (2 papers), Immune cells in cancer (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Neurology (212 citations), Neurology (367 citations), Biological Psychiatry (54 citations), Genetics (120 citations) and Cellular and Molecular Neuroscience (97 citations). Dávid Brenner has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Jochen H. Weishaupt, Albert C. Ludolph, Axel Freischmidt, Karin M. Danzer, Ana Martín-Villalba, Jan Kassubek, Veselin Grozdanov, Wolfgang Ruf, Benjamin Mayer and Bastian Hengerer. Their work appears in journals such as Neurobiology of Aging, Neurogenetics, Current Opinion in Neurology, The Journal of Experimental Medicine and EBioMedicine.
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.