Rob Young
Impact in
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
Papers in
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- Cell Image Analysis Techniques 6
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- Photoreceptor and optogenetics research 3
- Neuroscience and Neuropharmacology Research 3
- Co-authors
- Leonard Kuan (1 shared paper)Lydia Ng (1 shared paper)Shankar D Pathak (1 shared paper)Chinh Dang (1 shared paper)Michael Hawrylycz (1 shared paper)Chris Lau (1 shared paper)Changkyu Lee (1 shared paper)
- Journals
- Nature (5 papers)Neuron (2 papers)BMC Neuroscience (1 paper)Proceedings of the National Academy of Sciences (1 paper)eLife (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Rob Young
11 papers receiving 6.2k citations
Rob Young's Hit Papers
Peers
Comparison fields: 5 of 143
- Developmental Neuroscience 484
- Cellular and Molecular Neuroscience 2.1k
- Cognitive Neuroscience 1.6k
- Biophysics 468
- Neurology 580
Countries citing papers authored by Rob Young
This map shows the geographic impact of Rob 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 Rob Young with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Young more than expected).
Fields of papers citing papers by Rob Young
This network shows the impact of papers produced by Rob 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 Rob Young. The network helps show where Rob Young may publish in the future.
Co-authors
The 7 scholars most cited alongside Rob 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
| # | Work | ||
|---|---|---|---|
| 1 | Genome-wide atlas of gene expression in the adult mouse brain Hit paper breakdown → | 2006 | 4418 |
| 2 | A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain Hit paper breakdown → | 2023 | 494 |
| 3 | Classification of electrophysiological and morphological neuron types in the mouse visual cortex Hit paper breakdown → | 2019 | 300 |
| 4 | Survey of spiking in the mouse visual system reveals functional hierarchy Hit paper breakdown → | 2021 | 298 |
| 5 | 2016 | 278 | |
| 6 | 2014 | 228 | |
| 7 | 2015 | 110 | |
| 8 | Functional connectomics spanning multiple areas of mouse visual cortex Hit paper breakdown → | 2025 | 58 |
| 9 | 2016 | 51 | |
| 10 | 2022 | 16 | |
| 11 | 2007 | 12 |
About Rob Young
Rob Young is a scholar working on Biophysics, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology and Molecular Biology, having authored 11 papers that have together received 6.3k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (6 papers), Single-cell and spatial transcriptomics (5 papers), Neural dynamics and brain function (4 papers), Photoreceptor and optogenetics research (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Gene expression and cancer classification (2 papers), Bioinformatics and Genomic Networks (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (484 citations), Cellular and Molecular Neuroscience (2.1k citations), Cognitive Neuroscience (1.6k citations), Biophysics (468 citations) and Neurology (580 citations). Rob Young has collaborated with scholars based in United States and Spain. Frequent co-authors include Leonard Kuan, Lydia Ng, Shankar D Pathak, Chinh Dang, Michael Hawrylycz, Chris Lau and Changkyu Lee. Their work appears in journals such as Nature, Neuron, BMC Neuroscience, Proceedings of the National Academy of Sciences and eLife.
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.