Eric Danielson
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
- Structural Biology top 10%
Papers in
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- Lipid Membrane Structure and Behavior 2
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- Neuroscience and Neuropharmacology Research 5
- Genetic Neurodegenerative Diseases 2
- Co-authors
- Sang H. Lee (5 shared papers)John E. Landers (3 shared papers)Robert H. Brown (2 shared papers)Jake Metterville (1 shared paper)Chunxing Yang (1 shared paper)Zuoshang Xu (1 shared paper)Tao Qiao (1 shared paper)Seung Min Shin (3 shared papers)
- Journals
- Cell Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Neuroscience (2 papers)Nature Communications (2 papers)PLoS ONE (1 paper)
- Partner nations
- United StatesItalyBelgium
In The Last Decade
Eric Danielson
14 papers receiving 555 citations
Peers
Comparison fields: 5 of 76
- Neurology 146
- Structural Biology 14
- Biophysics 52
- Cellular and Molecular Neuroscience 130
- Genetics 70
Countries citing papers authored by Eric Danielson
This map shows the geographic impact of Eric Danielson'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 Eric Danielson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Danielson more than expected).
Fields of papers citing papers by Eric Danielson
This network shows the impact of papers produced by Eric Danielson. 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 Eric Danielson. The network helps show where Eric Danielson may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Danielson, 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 | 84 | |
| 2 | 2005 | 71 | |
| 3 | 2022 | 65 | |
| 4 | 2019 | 60 | |
| 5 | 2019 | 57 | |
| 6 | 2017 | 53 | |
| 7 | 2012 | 48 | |
| 8 | 2014 | 45 | |
| 9 | 2016 | 25 | |
| 10 | 2015 | 18 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2012 | 8 | |
| 14 | 2023 | 6 |
About Eric Danielson
Eric Danielson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Pathology and Forensic Medicine, having authored 14 papers that have together received 563 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Cellular transport and secretion (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Genetic Neurodegenerative Diseases (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Advanced Fluorescence Microscopy Techniques (2 papers). The work is most often cited by research in Neurology (146 citations), Structural Biology (14 citations), Biophysics (52 citations), Cellular and Molecular Neuroscience (130 citations) and Genetics (70 citations). Eric Danielson has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Sang H. Lee, John E. Landers, Robert H. Brown, Jake Metterville, Chunxing Yang, Zuoshang Xu, Tao Qiao, Seung Min Shin, Monica Mendelsohn and Kevin D. Healy. Their work appears in journals such as Cell Reports, Proceedings of the National Academy of Sciences, Journal of Neuroscience, Nature Communications and PLoS ONE.
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.