Nathan Smith
Impact in
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
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- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neuropharmacology Research 15
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- Mitochondrial Function and Pathology 3
- Co-authors
- Maiken Nedergaard (9 shared papers)Qiwu Xu (5 shared papers)Takahiro Takano (5 shared papers)Takumi Fujita (4 shared papers)Fushun Wang (5 shared papers)Lane K. Bekar (4 shared papers)Kim Tieu (2 shared papers)Wei Liu (1 shared paper)
- Journals
- Journal of Cellular Physiology (4 papers)Journal of Neuroscience (3 papers)Trends in Neurosciences (2 papers)Science Signaling (2 papers)European Journal of Cell Biology (2 papers)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Nathan Smith
29 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 131
- Neurology 375
- Cellular and Molecular Neuroscience 655
- Physiology 148
- Developmental Neuroscience 97
- Biological Psychiatry 52
Countries citing papers authored by Nathan Smith
This map shows the geographic impact of Nathan Smith'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 Nathan Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Smith more than expected).
Fields of papers citing papers by Nathan Smith
This network shows the impact of papers produced by Nathan Smith. 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 Nathan Smith. The network helps show where Nathan Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathan Smith, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 229 | |
| 2 | 2012 | 224 | |
| 3 | 2013 | 204 | |
| 4 | 2014 | 118 | |
| 5 | 2014 | 101 | |
| 6 | 2007 | 99 | |
| 7 | 2004 | 87 | |
| 8 | 2018 | 74 | |
| 9 | 2013 | 56 | |
| 10 | 2023 | 47 | |
| 11 | 2020 | 38 | |
| 12 | 2022 | 27 | |
| 13 | 2023 | 24 | |
| 14 | 2018 | 23 | |
| 15 | 2023 | 22 | |
| 16 | 2007 | 21 | |
| 17 | 2023 | 18 | |
| 18 | 2019 | 16 | |
| 19 | 2022 | 15 | |
| 20 | 2017 | 15 |
About Nathan Smith
Nathan Smith is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Neurology and Physiology, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Metabolism and Genetic Disorders (4 papers), Sleep and Wakefulness Research (4 papers), Diet and metabolism studies (3 papers), Mitochondrial Function and Pathology (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers) and Molecular Sensors and Ion Detection (2 papers). The work is most often cited by research in Neurology (375 citations), Cellular and Molecular Neuroscience (655 citations), Physiology (148 citations), Developmental Neuroscience (97 citations) and Biological Psychiatry (52 citations). Nathan Smith has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Maiken Nedergaard, Qiwu Xu, Takahiro Takano, Takumi Fujita, Fushun Wang, Lane K. Bekar, Kim Tieu, Wei Liu, Ditte Lovatt and Jürgen Schnermann. Their work appears in journals such as Journal of Cellular Physiology, Journal of Neuroscience, Trends in Neurosciences, Science Signaling and European Journal of Cell Biology.
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.