James T. Shoemaker

560 total citations
11 papers, 455 citations indexed

About

James T. Shoemaker is a scholar working on Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, James T. Shoemaker has authored 11 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in James T. Shoemaker's work include 3D Printing in Biomedical Research (5 papers), Neuroscience and Neural Engineering (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). James T. Shoemaker is often cited by papers focused on 3D Printing in Biomedical Research (5 papers), Neuroscience and Neural Engineering (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). James T. Shoemaker collaborates with scholars based in United States, Sweden and Italy. James T. Shoemaker's co-authors include Jason J. Fritz, Marla Gearing, Sara E. Dodson, Allan I. Levey, James J. Lah, Michelle C. LaPlaca, Ravi V. Bellamkonda, Andrés J. Garcı́a, Kellie L. Templeman and Robert A. Latour and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Biomaterials.

In The Last Decade

James T. Shoemaker

11 papers receiving 444 citations

Peers

James T. Shoemaker
Mariangela Iovino United Kingdom
Nicola J. Corbett United Kingdom
Sunhyo Kim South Korea
Man Xiong China
Jens Tornøe United States
Mariangela Iovino United Kingdom
James T. Shoemaker
Citations per year, relative to James T. Shoemaker James T. Shoemaker (= 1×) peers Mariangela Iovino

Countries citing papers authored by James T. Shoemaker

Since Specialization
Citations

This map shows the geographic impact of James T. Shoemaker'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 James T. Shoemaker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Shoemaker more than expected).

Fields of papers citing papers by James T. Shoemaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James T. Shoemaker. 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 James T. Shoemaker. The network helps show where James T. Shoemaker may publish in the future.

Co-authorship network of co-authors of James T. Shoemaker

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

All Works

11 of 11 papers shown
1.
Reyes, Darwin R., Mandy B. Esch, Lorna Ewart, et al.. (2024). From animal testing to in vitro systems: advancing standardization in microphysiological systems. Lab on a Chip. 24(5). 1076–1087. 29 indexed citations
3.
Kundu, Avra, et al.. (2020). SeedEZTMInterdigitated Electrodes and Multifunctional Layered Biosensor Composites (MLBCs): A Paradigm Shift in the Development ofIn VitroBioMicrosystems. Journal of Microelectromechanical Systems. 29(5). 653–660. 4 indexed citations
4.
Shoemaker, James T., et al.. (2020). A 3D Cell Culture Organ-on-a-Chip Platform With a Breathable Hemoglobin Analogue Augments and Extends Primary Human Hepatocyte Functions in vitro. Frontiers in Molecular Biosciences. 7. 568777–568777. 17 indexed citations
5.
Shoemaker, James T. & Jelena Vukasinovic. (2017). Abstract 4080: Cytochrome P450 enzyme activity is enhanced in hepatocytes grown using a perfused 3D cell culture drug screening system. Cancer Research. 77(13_Supplement). 4080–4080. 2 indexed citations
6.
Shoemaker, James T., Kellie L. Templeman, Yang Wei, et al.. (2015). Protease-degradable PEG-maleimide coating with on-demand release of IL-1Ra to improve tissue response to neural electrodes. Biomaterials. 44. 55–70. 53 indexed citations
7.
Shekaran, Asha, James T. Shoemaker, Taylor E. Kavanaugh, et al.. (2014). The effect of conditional inactivation of beta 1 integrins using twist 2 Cre, Osterix Cre and osteocalcin Cre lines on skeletal phenotype. Bone. 68. 131–141. 39 indexed citations
8.
Templeman, Kellie L., Antoinette B. South, James T. Shoemaker, et al.. (2013). Host response to microgel coatings on neural electrodes implanted in the brain. Journal of Biomedical Materials Research Part A. 102(5). 1486–1499. 44 indexed citations
9.
Hales, Chadwick M., et al.. (2012). Stimulus-evoked high frequency oscillations are present in neuronal networks on microelectrode arrays. Frontiers in Neural Circuits. 6. 29–29. 11 indexed citations
10.
Dodson, Sara E., James T. Shoemaker, Jason J. Fritz, et al.. (2006). The Lipoprotein Receptor LR11 Regulates Amyloid β Production and Amyloid Precursor Protein Traffic in Endosomal Compartments. Journal of Neuroscience Nursing. 26(5). 1596–1603. 22 indexed citations
11.
Dodson, Sara E., James T. Shoemaker, Jason J. Fritz, et al.. (2006). The Lipoprotein Receptor LR11 Regulates Amyloid β Production and Amyloid Precursor Protein Traffic in Endosomal Compartments. Journal of Neuroscience. 26(5). 1596–1603. 229 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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