Eric Danielson
Impact in
- Structural Biology top 10%
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
Papers in
-
- 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)Seung Min Shin (3 shared papers)Chunxing Yang (1 shared paper)Tao Qiao (1 shared paper)Zuoshang Xu (1 shared paper)Jake Metterville (1 shared paper)
- Journals
- Journal of Neuroscience (2 papers)Nature Communications (2 papers)Cell Reports (2 papers)Proceedings of the National Academy of Sciences (2 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesCzechiaItaly
In The Last Decade
Eric Danielson
14 papers receiving 521 citations
Peers
Comparison fields: 5 of 79
- Structural Biology 14
- Neurology 139
- Biophysics 49
- Cellular and Molecular Neuroscience 126
- Genetics 73
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 | 76 | |
| 2 | 2022 | 60 | |
| 3 | 2019 | 59 | |
| 4 | 2005 | 59 | |
| 5 | 2019 | 54 | |
| 6 | 2017 | 52 | |
| 7 | 2012 | 47 | |
| 8 | 2014 | 41 | |
| 9 | 2016 | 24 | |
| 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 527 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Cellular transport and secretion (3 papers), Lipid Membrane Structure and Behavior (2 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Genetic Neurodegenerative Diseases (2 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Structural Biology (14 citations), Neurology (139 citations), Biophysics (49 citations), Cellular and Molecular Neuroscience (126 citations) and Genetics (73 citations). Eric Danielson has collaborated with scholars based in United States, Czechia and Italy. Frequent co-authors include Sang H. Lee, John E. Landers, Robert H. Brown, Seung Min Shin, Chunxing Yang, Tao Qiao, Zuoshang Xu, Jake Metterville, Claudia Fallini and Nanyan Zhang. Their work appears in journals such as Journal of Neuroscience, Nature Communications, Cell Reports, Proceedings of the National Academy of Sciences and Scientific Reports.
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.