Samuel Young

2.5k total citations
44 papers, 1.8k citations indexed

About

Samuel Young is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Samuel Young has authored 44 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 23 papers in Cellular and Molecular Neuroscience and 12 papers in Genetics. Recurrent topics in Samuel Young's work include Neuroscience and Neuropharmacology Research (20 papers), Virus-based gene therapy research (11 papers) and Cellular transport and secretion (9 papers). Samuel Young is often cited by papers focused on Neuroscience and Neuropharmacology Research (20 papers), Virus-based gene therapy research (11 papers) and Cellular transport and secretion (9 papers). Samuel Young collaborates with scholars based in United States, Germany and China. Samuel Young's co-authors include R. Jude Samulski, Douglas M. McCarty, Rachel Satterfield, Erwin Neher, Zuxin Chen, Naomi Kamasawa, Natalya Degtyareva, Chong Chen, Péter Jónás and Debbie Guerrero‐Given and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Neuron.

In The Last Decade

Samuel Young

42 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Samuel Young United States 21 1.2k 669 540 374 159 44 1.8k
Tong‐Wey Koh United States 13 1.8k 1.5× 1.1k 1.6× 412 0.8× 556 1.5× 73 0.5× 17 2.6k
Verity A. Letts United States 23 1.9k 1.6× 1.0k 1.5× 439 0.8× 406 1.1× 116 0.7× 32 2.6k
Alain Trembleau France 28 2.0k 1.6× 703 1.1× 547 1.0× 333 0.9× 83 0.5× 62 3.1k
Daniel Gibbs United States 26 1.3k 1.0× 446 0.7× 345 0.6× 290 0.8× 35 0.2× 51 2.4k
Michael Gonzalez United States 26 1.0k 0.8× 727 1.1× 236 0.4× 371 1.0× 54 0.3× 47 1.9k
Mark E. Pennesi United States 37 3.3k 2.7× 796 1.2× 503 0.9× 256 0.7× 116 0.7× 168 5.1k
Wenli Gu China 22 1.4k 1.2× 372 0.6× 1.3k 2.4× 302 0.8× 96 0.6× 47 2.7k
Emerald Perlas Italy 27 1.4k 1.1× 401 0.6× 345 0.6× 445 1.2× 49 0.3× 39 2.8k
Engin Özkan United States 25 1.5k 1.3× 1.0k 1.5× 213 0.4× 493 1.3× 139 0.9× 34 3.2k
Alexander J. Osborn United States 16 1.5k 1.3× 752 1.1× 292 0.5× 506 1.4× 60 0.4× 24 2.5k

Countries citing papers authored by Samuel Young

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Samuel Young

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Young. A scholar is included among the top collaborators of Samuel Young based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Samuel Young. Samuel Young is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Thomas, Connon I., et al.. (2025). Presynaptic α2δs specify synaptic gain, not synaptogenesis, in the mammalian brain. Neuron. 113(12). 1886–1897.e9.
2.
Young, Samuel, et al.. (2023). CaV2.1 α1 subunit motifs that control presynaptic CaV2.1 subtype abundance are distinct from CaV2.1 preference. The Journal of Physiology. 602(3). 485–506. 3 indexed citations
3.
Tarabichi, Osama, et al.. (2023). Development and evaluation of helper dependent adenoviral vectors for inner ear gene delivery. Hearing Research. 435. 108819–108819. 4 indexed citations
4.
5.
Phillips, Stacia, et al.. (2021). VikAD, a Vika site-specific recombinase-based system for efficient and scalable helper-dependent adenovirus production. Molecular Therapy — Methods & Clinical Development. 24. 117–126. 5 indexed citations
6.
Young, Samuel, et al.. (2021). Presynaptic voltage-gated calcium channels in the auditory brainstem. Molecular and Cellular Neuroscience. 112. 103609–103609. 10 indexed citations
7.
Dong, Wei, R. Oliver Goral, Connon I. Thomas, et al.. (2020). Presynaptic development is controlled by the core active zone proteins CAST/ELKS. The Journal of Physiology. 598(12). 2431–2452. 20 indexed citations
8.
Pengo, Thomas, Jonathan D. Raybuck, Jon E. Hawkinson, et al.. (2019). Automated Live-Cell Imaging of Synapses in Rat and Human Neuronal Cultures. Frontiers in Cellular Neuroscience. 13. 467–467. 18 indexed citations
9.
Sutton, Laurie P., Cesare Orlandi, Chenghui Song, et al.. (2018). Orphan receptor GPR158 controls stress-induced depression. eLife. 7. 63 indexed citations
10.
Dong, Wei, R. Oliver Goral, Connon I. Thomas, et al.. (2018). CAST/ELKS Proteins Control Voltage-Gated Ca2+ Channel Density and Synaptic Release Probability at a Mammalian Central Synapse. Cell Reports. 24(2). 284–293.e6. 49 indexed citations
11.
Satterfield, Rachel, et al.. (2018). Synaptotagmin-7 controls the size of the reserve and resting pools of synaptic vesicles in hippocampal neurons. Cell Calcium. 74. 53–60. 11 indexed citations
12.
Goral, R. Oliver, Christian Keine, Connon I. Thomas, et al.. (2018). CaV2.1 α1 Subunit Expression Regulates Presynaptic CaV2.1 Abundance and Synaptic Strength at a Central Synapse. Neuron. 101(2). 260–273.e6. 45 indexed citations
13.
Chen, Chong, Rachel Satterfield, Samuel Young, & Péter Jónás. (2017). Triple Function of Synaptotagmin 7 Ensures Efficiency of High-Frequency Transmission at Central GABAergic Synapses. Cell Reports. 21(8). 2082–2089. 50 indexed citations
14.
Montesinos, Mónica S., Wei Dong, Kevin M. Goff, et al.. (2015). Presynaptic Deletion of GIT Proteins Results in Increased Synaptic Strength at a Mammalian Central Synapse. Neuron. 88(5). 918–925. 29 indexed citations
15.
Chen, Zuxin, Brati Das, Yukihiro Nakamura, David A. DiGregorio, & Samuel Young. (2015). Ca2+Channel to Synaptic Vesicle Distance Accounts for the Readily Releasable Pool Kinetics at a Functionally Mature Auditory Synapse. Journal of Neuroscience. 35(5). 2083–2100. 67 indexed citations
16.
Chen, Zuxin, et al.. (2013). The Munc13 Proteins Differentially Regulate Readily Releasable Pool Dynamics and Calcium-Dependent Recovery at a Central Synapse. Journal of Neuroscience. 33(19). 8336–8351. 84 indexed citations
17.
Tong, Huaxia, Conny Kopp‐Scheinpflug, Nadia Pilati, et al.. (2013). Protection from Noise-Induced Hearing Loss by Kv2.2 Potassium Currents in the Central Medial Olivocochlear System. Journal of Neuroscience. 33(21). 9113–9121. 26 indexed citations
18.
Kawabe, Hiroshi, Antje Neeb, Kalina Dimova, et al.. (2010). Regulation of Rap2A by the Ubiquitin Ligase Nedd4-1 Controls Neurite Development. Neuron. 65(3). 358–372. 162 indexed citations
19.
20.
Schikorski, Thomas, et al.. (2007). Horseradish peroxidase cDNA as a marker for electron microscopy in neurons. Journal of Neuroscience Methods. 165(2). 210–215. 31 indexed citations

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.

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