James E. Hudson

15.8k total citations
88 papers, 2.6k citations indexed

About

James E. Hudson is a scholar working on Molecular Biology, Surgery and Biomedical Engineering. According to data from OpenAlex, James E. Hudson has authored 88 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 22 papers in Surgery and 15 papers in Biomedical Engineering. Recurrent topics in James E. Hudson's work include Tissue Engineering and Regenerative Medicine (21 papers), Congenital heart defects research (21 papers) and 3D Printing in Biomedical Research (12 papers). James E. Hudson is often cited by papers focused on Tissue Engineering and Regenerative Medicine (21 papers), Congenital heart defects research (21 papers) and 3D Printing in Biomedical Research (12 papers). James E. Hudson collaborates with scholars based in Australia, United States and New Zealand. James E. Hudson's co-authors include Enzo R. Porrello, Richard J. Mills, Justin J. Cooper‐White, Peter W. Harland, Claire Vallance, Gregory A. Quaife-Ryan, Jessica E. Frith, Holly K. Voges, Céline Vivien and Gary Brooke and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Circulation.

In The Last Decade

James E. Hudson

79 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James E. Hudson Australia 28 1.3k 640 548 314 272 88 2.6k
Mitsuaki Tatsumi Japan 39 727 0.6× 851 1.3× 613 1.1× 225 0.7× 144 0.5× 232 5.2k
Marcus Settles Germany 28 630 0.5× 333 0.5× 489 0.9× 80 0.3× 307 1.1× 56 2.3k
Timothy C. Doyle United States 27 1.3k 1.0× 284 0.4× 712 1.3× 176 0.6× 61 0.2× 57 2.7k
Raphaël Turcotte United States 20 609 0.5× 237 0.4× 831 1.5× 102 0.3× 188 0.7× 41 2.6k
Harumi Sakahara Japan 39 846 0.7× 928 1.4× 389 0.7× 385 1.2× 45 0.2× 253 5.3k
Alain Duperray France 40 787 0.6× 206 0.3× 855 1.6× 95 0.3× 234 0.9× 91 4.0k
Taku Saito Japan 42 2.1k 1.7× 623 1.0× 315 0.6× 47 0.1× 161 0.6× 171 5.4k
Susana Rocha Belgium 29 1.8k 1.4× 191 0.3× 632 1.2× 80 0.3× 150 0.6× 97 3.4k
Beata Wójciak‐Stothard United Kingdom 30 2.1k 1.6× 327 0.5× 624 1.1× 463 1.5× 67 0.2× 55 4.5k
Bjoern Sander Germany 31 3.3k 2.6× 190 0.3× 520 0.9× 92 0.3× 71 0.3× 73 4.3k

Countries citing papers authored by James E. Hudson

Since Specialization
Citations

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

Fields of papers citing papers by James E. Hudson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James E. Hudson

This figure shows the co-authorship network connecting the top 25 collaborators of James E. Hudson. A scholar is included among the top collaborators of James E. Hudson 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 E. Hudson. James E. Hudson 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.
Devilée, Lynn, Jessica M. Miller, Qinghui Ou, et al.. (2025). Pharmacological or genetic inhibition of LTCC promotes cardiomyocyte proliferation through inhibition of calcineurin activity. npj Regenerative Medicine. 10(1). 1–1. 5 indexed citations
2.
3.
Lamboley, C. R., et al.. (2025). Muscle-specific Ryanodine receptor 1 properties underlie limb-girdle muscular dystrophy 2B/R2 progression. Nature Communications. 16(1). 3056–3056. 1 indexed citations
4.
Krycer, James R., et al.. (2025). Tackling pressure fluctuations in ultra-HPLC to robustly resolve and analyze polar metabolites. Journal of Biological Chemistry. 301(3). 108283–108283.
5.
Hudson, James E., et al.. (2025). Macrophage Containing Cardiac Organoids for Studying Inflammatory Programmes Driving Cardiovascular Disease. Current Cardiology Reports. 27(1). 97–97.
6.
Krycer, James R., et al.. (2024). A miniaturized culture platform for control of the metabolic environment. Biomicrofluidics. 18(2). 24101–24101.
7.
Foster, Simon R. & James E. Hudson. (2024). Endothelial cells as paracrine mediators of long COVID. Nature Cardiovascular Research. 3(10). 1181–1183. 2 indexed citations
8.
Huurne, Menno ter, Benjamin L. Parker, Ning Qing Liu, et al.. (2023). GLA-modified RNA treatment lowers GB3 levels in iPSC-derived cardiomyocytes from Fabry-affected individuals. The American Journal of Human Genetics. 110(9). 1600–1605. 6 indexed citations
9.
Molendijk, Jeffrey, Ronnie Blazev, Richard J. Mills, et al.. (2022). Proteome-wide systems genetics identifies UFMylation as a regulator of skeletal muscle function. eLife. 11. 9 indexed citations
10.
Shohayeb, Belal, Amanda L. Bain, Patrick R.J. Fortuna, et al.. (2021). Cep55 regulation of PI3K/Akt signaling is required for neocortical development and ciliogenesis. PLoS Genetics. 17(10). e1009334–e1009334. 3 indexed citations
11.
Mills, Richard J., et al.. (2020). Metabolic Regulation of Human Pluripotent Stem Cell-Derived Cardiomyocyte Maturation. Current Cardiology Reports. 22(8). 73–73. 12 indexed citations
12.
Ng, Dominic C.H., et al.. (2020). Centrosome Reduction Promotes Terminal Differentiation of Human Cardiomyocytes. Stem Cell Reports. 15(4). 817–826. 11 indexed citations
13.
Le, Thi Yen Loan, Hilda A. Pickett, Andrian Yang, et al.. (2019). Enhanced cardiac repair by telomerase reverse transcriptase over-expression in human cardiac mesenchymal stromal cells. Scientific Reports. 9(1). 10579–10579. 16 indexed citations
14.
Vivien, Céline, James E. Hudson, & Enzo R. Porrello. (2016). Evolution, comparative biology and ontogeny of vertebrate heart regeneration. npj Regenerative Medicine. 1(1). 16012–16012. 92 indexed citations
15.
Titmarsh, Drew M., Nick R. Glass, Richard J. Mills, et al.. (2016). Induction of Human iPSC-Derived Cardiomyocyte Proliferation Revealed by Combinatorial Screening in High Density Microbioreactor Arrays. Scientific Reports. 6(1). 24637–24637. 49 indexed citations
16.
Ovchinnikov, Dmitry A., Alejandro Hidalgo, Seung‐Kwon Yang, et al.. (2014). Isolation of Contractile Cardiomyocytes from Human Pluripotent Stem-Cell-Derived Cardiomyogenic Cultures Using a Human NCX1-EGFP Reporter. Stem Cells and Development. 24(1). 11–20. 14 indexed citations
17.
Hudson, James E., et al.. (2011). Development of Myocardial Constructs Using Modulus-Matched Acrylated Polypropylene Glycol Triol Substrate and Different Nonmyocyte Cell Populations. Tissue Engineering Part A. 17(17-18). 2279–2289. 7 indexed citations
18.
Mills, Richard J., Jessica E. Frith, James E. Hudson, & Justin J. Cooper‐White. (2011). Effect of Geometric Challenges on Cell Migration. Tissue Engineering Part C Methods. 17(10). 999–1010. 18 indexed citations
19.
Hudson, James E., Drew M. Titmarsh, Alejandro Hidalgo, Ernst J. Wolvetang, & Justin J. Cooper‐White. (2011). Primitive Cardiac Cells from Human Embryonic Stem Cells. Stem Cells and Development. 21(9). 1513–1523. 63 indexed citations
20.
Hudson, James E., et al.. (1971). Predation by spiders on mosquitoes resting in houses in Tanzania.. Mosquito news. 31(3). 1 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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