Samuel Young
Impact in
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- Neuroscience and Neuropharmacology Research
- Sensory Systems top 5%
Papers in
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- Ion channel regulation and function 8
- RNA Interference and Gene Delivery 4
- Receptor Mechanisms and Signaling 4
- Viral Infectious Diseases and Gene Expression in Insects 4
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- Neuroscience and Neuropharmacology Research 20
- Neuroscience and Neural Engineering 5
- Co-authors
- R. Jude Samulski (5 shared papers)Douglas M. McCarty (2 shared papers)Rachel Satterfield (11 shared papers)Erwin Neher (1 shared paper)Zuxin Chen (3 shared papers)Natalya Degtyareva (1 shared paper)Naomi Kamasawa (9 shared papers)Chong Chen (2 shared papers)
- Journals
- Journal of Neuroscience (6 papers)Neuron (5 papers)Cell Reports (3 papers)eLife (3 papers)Journal of Virology (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Samuel Young
42 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 90
- Cellular and Molecular Neuroscience 674
- Sensory Systems 105
- Cell Biology 366
- Genetics 557
- Molecular Biology 1.2k
Countries citing papers authored by Samuel Young
This map shows the geographic impact of Samuel Young'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 Samuel Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Young more than expected).
Fields of papers citing papers by Samuel Young
This network shows the impact of papers produced by Samuel Young. 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 Samuel Young. The network helps show where Samuel Young may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Young, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 375 | |
| 2 | 2010 | 164 | |
| 3 | 2011 | 121 | |
| 4 | 2000 | 109 | |
| 5 | 2009 | 102 | |
| 6 | 2013 | 84 | |
| 7 | 2014 | 70 | |
| 8 | 2015 | 67 | |
| 9 | 2018 | 65 | |
| 10 | 2001 | 65 | |
| 11 | 2017 | 55 | |
| 12 | 2017 | 52 | |
| 13 | 2018 | 51 | |
| 14 | 2018 | 46 | |
| 15 | 1978 | 45 | |
| 16 | 2019 | 44 | |
| 17 | 2017 | 43 | |
| 18 | 2013 | 31 | |
| 19 | 2007 | 31 | |
| 20 | 2020 | 31 |
About Samuel Young
Samuel Young is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics and Cognitive Neuroscience, having authored 43 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (20 papers), Virus-based gene therapy research (10 papers), Cellular transport and secretion (9 papers), Ion channel regulation and function (8 papers), Neuroscience and Neural Engineering (5 papers), RNA Interference and Gene Delivery (4 papers), Receptor Mechanisms and Signaling (4 papers) and Viral Infectious Diseases and Gene Expression in Insects (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (674 citations), Sensory Systems (105 citations), Cell Biology (366 citations), Genetics (557 citations) and Molecular Biology (1.2k citations). Samuel Young has collaborated with scholars based in United States, Germany and China. Frequent co-authors include R. Jude Samulski, Douglas M. McCarty, Rachel Satterfield, Erwin Neher, Zuxin Chen, Natalya Degtyareva, Naomi Kamasawa, Chong Chen, Péter Jónás and Debbie Guerrero‐Given. Their work appears in journals such as Journal of Neuroscience, Neuron, Cell Reports, eLife and Journal of Virology.
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.