Laila Abelseth

455 total citations
8 papers, 369 citations indexed

About

Laila Abelseth is a scholar working on Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Laila Abelseth has authored 8 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 3 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Laila Abelseth's work include 3D Printing in Biomedical Research (6 papers), Pluripotent Stem Cells Research (3 papers) and Neuroscience and Neural Engineering (3 papers). Laila Abelseth is often cited by papers focused on 3D Printing in Biomedical Research (6 papers), Pluripotent Stem Cells Research (3 papers) and Neuroscience and Neural Engineering (3 papers). Laila Abelseth collaborates with scholars based in Canada, United States and Mexico. Laila Abelseth's co-authors include Stephanie M. Willerth, Laura De la Vega, Samuel Wadsworth, Simon Beyer, Matthew Alonzo, Shweta Kumar, Binata Joddar, Yoshihiro Ito, Laura J. Suggs and Jun Akimoto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and ACS Biomaterials Science & Engineering.

In The Last Decade

Laila Abelseth

8 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laila Abelseth Canada 7 322 143 113 88 58 8 369
Boeun Hwang United States 8 308 1.0× 142 1.0× 56 0.5× 41 0.5× 50 0.9× 14 374
Madeline Burke United Kingdom 6 317 1.0× 144 1.0× 59 0.5× 22 0.3× 44 0.8× 8 367
A. Courtney United Kingdom 9 526 1.6× 256 1.8× 247 2.2× 47 0.5× 112 1.9× 24 659
Jessica E. Herrmann United States 5 431 1.3× 169 1.2× 185 1.6× 31 0.4× 96 1.7× 8 560
Franca Scocozza Italy 10 220 0.7× 92 0.6× 83 0.7× 31 0.4× 54 0.9× 19 316
Albert G. Castaño Spain 8 311 1.0× 67 0.5× 108 1.0× 53 0.6× 59 1.0× 9 387
Nurazhani Abdul Raof United States 8 400 1.2× 167 1.2× 103 0.9× 33 0.4× 59 1.0× 14 488
Selwa Boularaoui United Arab Emirates 6 315 1.0× 168 1.2× 44 0.4× 25 0.3× 60 1.0× 7 372
Wisarut Kiratitanaporn United States 7 271 0.8× 141 1.0× 52 0.5× 19 0.2× 43 0.7× 10 351

Countries citing papers authored by Laila Abelseth

Since Specialization
Citations

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

Fields of papers citing papers by Laila Abelseth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laila Abelseth. 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 Laila Abelseth. The network helps show where Laila Abelseth may publish in the future.

Co-authorship network of co-authors of Laila Abelseth

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

All Works

8 of 8 papers shown
1.
Vega, Laura De la, et al.. (2021). 3D Bioprinting Human‐Induced Pluripotent Stem Cells and Drug‐Releasing Microspheres to Produce Responsive Neural Tissues. SHILAP Revista de lepidopterología. 1(8). 23 indexed citations
2.
Abelseth, Laila, et al.. (2021). 3D Tissue Models as an Effective Tool for Studying Viruses and Vaccine Development. Frontiers in Materials. 8. 13 indexed citations
3.
Kirsch, Rebecca, et al.. (2021). The effect of SARS-CoV-2 on the nervous system: a review of neurological impacts caused by human coronaviruses. Reviews in the Neurosciences. 33(3). 257–268. 2 indexed citations
4.
Hagen, Andrew, Laila Abelseth, Ian S. Fraser, et al.. (2021). 3D Printing for Medical Applications: Current State of the Art and Perspectives during the COVID-19 Crisis. SHILAP Revista de lepidopterología. 2(3). 244–259. 12 indexed citations
5.
Kumar, Shweta, Matthew Alonzo, Shane C. Allen, et al.. (2019). A Visible Light-Cross-Linkable, Fibrin–Gelatin-Based Bioprinted Construct with Human Cardiomyocytes and Fibroblasts. ACS Biomaterials Science & Engineering. 5(9). 4551–4563. 76 indexed citations
6.
Tasnim, Nishat, Laura De la Vega, Shweta Kumar, et al.. (2018). 3D Bioprinting Stem Cell Derived Tissues. Cellular and Molecular Bioengineering. 11(4). 219–240. 56 indexed citations
7.
Abelseth, Laila, et al.. (2018). 3D Printing of Neural Tissues Derived from Human Induced Pluripotent Stem Cells Using a Fibrin-Based Bioink. ACS Biomaterials Science & Engineering. 5(1). 234–243. 121 indexed citations
8.
Vega, Laura De la, et al.. (2018). 3D Bioprinting Human Induced Pluripotent Stem Cell-Derived Neural Tissues Using a Novel Lab-on-a-Printer Technology. Applied Sciences. 8(12). 2414–2414. 66 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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