Samuel J. Tuck

935 total citations
12 papers, 721 citations indexed

About

Samuel J. Tuck is a scholar working on Cellular and Molecular Neuroscience, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Samuel J. Tuck has authored 12 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 6 papers in Biomaterials and 4 papers in Biomedical Engineering. Recurrent topics in Samuel J. Tuck's work include Nerve injury and regeneration (6 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Samuel J. Tuck is often cited by papers focused on Nerve injury and regeneration (6 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). Samuel J. Tuck collaborates with scholars based in United States, South Korea and China. Samuel J. Tuck's co-authors include Michelle K. Leach, Joseph M. Corey, Jonah R. Chan, Suet Yen Chong, Seonok Lee, Joseph M. Corey, Synthia H. Mellon, Stephanie Redmond, Steven K. Lundy and Qi Wu and has published in prestigious journals such as PLoS ONE, Nature Methods and Nature Protocols.

In The Last Decade

Samuel J. Tuck

12 papers receiving 714 citations

Peers

Samuel J. Tuck
Matteo Donegà United Kingdom
J. Alberto Ortega United States
Matteo Donegà United Kingdom
Samuel J. Tuck
Citations per year, relative to Samuel J. Tuck Samuel J. Tuck (= 1×) peers Matteo Donegà

Countries citing papers authored by Samuel J. Tuck

Since Specialization
Citations

This map shows the geographic impact of Samuel J. Tuck'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 J. Tuck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel J. Tuck more than expected).

Fields of papers citing papers by Samuel J. Tuck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel J. Tuck. 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 J. Tuck. The network helps show where Samuel J. Tuck may publish in the future.

Co-authorship network of co-authors of Samuel J. Tuck

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel J. Tuck. A scholar is included among the top collaborators of Samuel J. Tuck 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 J. Tuck. Samuel J. Tuck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Morse, Paul T., Samuel J. Tuck, Dennis J. Goebel, et al.. (2023). Non‐invasive treatment of ischemia/reperfusion injury: Effective transmission of therapeutic near‐infrared light into the human brain through soft skin‐conforming silicone waveguides. Bioengineering & Translational Medicine. 8(3). e10496–e10496. 4 indexed citations
2.
Morse, Paul T., Dennis J. Goebel, Junmei Wan, et al.. (2020). Cytochrome c oxidase‐modulatory near‐infrared light penetration into the human brain: Implications for the noninvasive treatment of ischemia/reperfusion injury. IUBMB Life. 73(3). 554–567. 11 indexed citations
3.
Tuck, Samuel J., Long He, Liqian Liu, et al.. (2017). Nanofibrous scaffolds for the guidance of stem cell-derived neurons for auditory nerve regeneration. PLoS ONE. 12(7). e0180427–e0180427. 25 indexed citations
4.
Wang, Qin, Sergei Chuikov, Qi Wu, et al.. (2015). Dimethyl Fumarate Protects Neural Stem/Progenitor Cells and Neurons from Oxidative Damage through Nrf2-ERK1/2 MAPK Pathway. International Journal of Molecular Sciences. 16(6). 13885–13907. 108 indexed citations
5.
Lee, Seonok, Suet Yen Chong, Samuel J. Tuck, Joseph M. Corey, & Jonah R. Chan. (2013). A rapid and reproducible assay for modeling myelination by oligodendrocytes using engineered nanofibers. Nature Protocols. 8(4). 771–782. 99 indexed citations
6.
Boggs, Emily, Julie Zwiesler‐Vollick, Tristan Maerz, et al.. (2013). Surface modification of electrospun polycaprolactone fibers and effect on cell proliferation. Surface Innovations. 2(1). 47–59. 11 indexed citations
7.
Lee, Seonok, Michelle K. Leach, Stephanie Redmond, et al.. (2012). A culture system to study oligodendrocyte myelination processes using engineered nanofibers. Nature Methods. 9(9). 917–922. 312 indexed citations
8.
Tuck, Samuel J., et al.. (2012). Critical variables in the alignment of electrospun PLLA nanofibers. Materials Science and Engineering C. 32(7). 1779–1784. 16 indexed citations
9.
Leach, Michelle K., et al.. (2011). Electrospinning Fundamentals: Optimizing Solution and Apparatus Parameters. Journal of Visualized Experiments. 64 indexed citations
10.
Leach, Michelle K., et al.. (2011). The Culture of Primary Motor and Sensory Neurons in Defined Media on Electrospun Poly-L-lactide Nanofiber Scaffolds. Journal of Visualized Experiments. 29 indexed citations
11.
Leach, Michelle K., et al.. (2011). The Culture of Primary Motor and Sensory Neurons in Defined Media on Electrospun Poly-L-lactide Nanofiber Scaffolds. Journal of Visualized Experiments. 7 indexed citations
12.
Leach, Michelle K., et al.. (2011). Electrospinning Fundamentals: Optimizing Solution and Apparatus Parameters. Journal of Visualized Experiments. 35 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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