David Nonis
Impact in
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- Genetic Neurodegenerative Diseases
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
Papers in ⓘ
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- RNA Research and Splicing 3
- Mitochondrial Function and Pathology 2
- Kruppel-like factors research 1
- FOXO transcription factor regulation 1
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- Genetic Neurodegenerative Diseases 5
- Co-authors
- Georg Auburger (5 shared papers)Joachim Nowock (4 shared papers)Simone van de Loo (2 shared papers)Isabel Lastres‐Becker (3 shared papers)Ivan Đikić (1 shared paper)Kirsten J. McTavish (2 shared papers)Shunichi Shimasaki (2 shared papers)Mirko H. H. Schmidt (1 shared paper)
- Journals
- Molecular and Cellular Endocrinology (2 papers)Experimental Neurology (1 paper)International Journal of Sports Medicine (1 paper)Molecular Genetics and Metabolism (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (1 paper)
- Partner nations
- GermanyUnited StatesQatar
In The Last Decade
David Nonis
12 papers receiving 370 citations
Peers
Comparison fields: 5 of 62
- Cellular and Molecular Neuroscience 180
- Neurology 95
- Cell Biology 70
- Molecular Biology 257
- Aging 5
Countries citing papers authored by David Nonis
This map shows the geographic impact of David Nonis'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 David Nonis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Nonis more than expected).
Fields of papers citing papers by David Nonis
This network shows the impact of papers produced by David Nonis. 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 David Nonis. The network helps show where David Nonis may publish in the future.
Co-authors
The 25 scholars most cited alongside David Nonis, 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 | 2008 | 87 | |
| 2 | 2016 | 73 | |
| 3 | 2008 | 67 | |
| 4 | 2013 | 45 | |
| 5 | 2013 | 23 | |
| 6 | 2013 | 22 | |
| 7 | 2013 | 18 | |
| 8 | 2012 | 13 | |
| 9 | 2019 | 12 | |
| 10 | 2011 | 9 | |
| 11 | 2019 | 1 | |
| 12 | 2019 | 1 |
About David Nonis
David Nonis is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health, Neurology and Hematology, having authored 12 papers that have together received 371 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (5 papers), RNA Research and Splicing (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Reproductive Biology and Fertility (2 papers), Erythropoietin and Anemia Treatment (2 papers), Mitochondrial Function and Pathology (2 papers), Kruppel-like factors research (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (180 citations), Neurology (95 citations), Cell Biology (70 citations), Molecular Biology (257 citations) and Aging (5 citations). David Nonis has collaborated with scholars based in Germany, United States and Qatar. Frequent co-authors include Georg Auburger, Joachim Nowock, Simone van de Loo, Isabel Lastres‐Becker, Ivan Đikić, Kirsten J. McTavish, Shunichi Shimasaki, Mirko H. H. Schmidt, Peter Kötter and Michael Klinkenberg. Their work appears in journals such as Molecular and Cellular Endocrinology, Experimental Neurology, International Journal of Sports Medicine, Molecular Genetics and Metabolism and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.
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.