Débora Lanznaster
Impact in
- Physiology top 2%
- Adenosine and Purinergic Signaling
- Alzheimer's disease research and treatments
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
- Neurology 20
- Amyotrophic Lateral Sclerosis Research 19
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Parkinson's Disease Mechanisms and Treatments 3
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- Prion Diseases and Protein Misfolding 3
- Co-authors
- Carla I. Tasca (11 shared papers)Hélène Blasco (22 shared papers)Tharine Dal‐Cim (6 shared papers)Philippe Corcia (17 shared papers)Patrick Vourc’h (19 shared papers)Christian Andrés (15 shared papers)Rudolf Hergesheimer (8 shared papers)Tetsade Piermartiri (1 shared paper)
In The Last Decade
Débora Lanznaster
37 papers receiving 887 citations
Peers
Comparison fields: 5 of 90
- Physiology 148
- Biological Psychiatry 53
- Neurology 293
- Neurology 96
- Genetics 109
Countries citing papers authored by Débora Lanznaster
This map shows the geographic impact of Débora Lanznaster'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 Débora Lanznaster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Débora Lanznaster more than expected).
Fields of papers citing papers by Débora Lanznaster
This network shows the impact of papers produced by Débora Lanznaster. 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 Débora Lanznaster. The network helps show where Débora Lanznaster may publish in the future.
Co-authors
The 25 scholars most cited alongside Débora Lanznaster, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 141 | |
| 2 | 2016 | 103 | |
| 3 | 2018 | 57 | |
| 4 | 2019 | 49 | |
| 5 | 2016 | 47 | |
| 6 | 2012 | 41 | |
| 7 | 2018 | 40 | |
| 8 | 2009 | 35 | |
| 9 | 2016 | 34 | |
| 10 | 2021 | 29 | |
| 11 | 2016 | 28 | |
| 12 | 2019 | 27 | |
| 13 | 2020 | 24 | |
| 14 | 2016 | 23 | |
| 15 | 2019 | 23 | |
| 16 | 2022 | 22 | |
| 17 | 2020 | 20 | |
| 18 | 2010 | 18 | |
| 19 | 2020 | 16 | |
| 20 | 2018 | 14 |
About Débora Lanznaster
Débora Lanznaster is a scholar working on Neurology, Molecular Biology, Genetics, Cellular and Molecular Neuroscience and Physiology, having authored 37 papers that have together received 899 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (19 papers), Neurogenetic and Muscular Disorders Research (10 papers), Adenosine and Purinergic Signaling (7 papers), Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Prion Diseases and Protein Misfolding (3 papers) and Parkinson's Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Physiology (148 citations), Biological Psychiatry (53 citations), Neurology (293 citations), Neurology (96 citations) and Genetics (109 citations). Débora Lanznaster has collaborated with scholars based in France, Brazil and Spain. Frequent co-authors include Carla I. Tasca, Hélène Blasco, Tharine Dal‐Cim, Philippe Corcia, Patrick Vourc’h, Christian Andrés, Rudolf Hergesheimer, Tetsade Piermartiri, Dênis Reis de Assis and Francisco Ciruela. Their work appears in journals such as Cells, International Journal of Molecular Sciences, Frontiers in Neurology, Genes and Molecular Neurobiology.
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.