Paul D. Dalton

14.4k total citations · 4 hit papers
153 papers, 10.7k citations indexed

About

Paul D. Dalton is a scholar working on Biomedical Engineering, Biomaterials and Automotive Engineering. According to data from OpenAlex, Paul D. Dalton has authored 153 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Biomedical Engineering, 77 papers in Biomaterials and 42 papers in Automotive Engineering. Recurrent topics in Paul D. Dalton's work include Electrospun Nanofibers in Biomedical Applications (70 papers), Advanced Sensor and Energy Harvesting Materials (55 papers) and Additive Manufacturing and 3D Printing Technologies (42 papers). Paul D. Dalton is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (70 papers), Advanced Sensor and Energy Harvesting Materials (55 papers) and Additive Manufacturing and 3D Printing Technologies (42 papers). Paul D. Dalton collaborates with scholars based in Germany, Australia and United States. Paul D. Dalton's co-authors include Dietmar W. Hutmacher, Jürgen Gröll, Toby Brown, Doris Klee, Martin Möller, Molly S. Shoichet, Kristina Klinkhammer, Andrei Hrynevich, Gernot Hochleitner and Traian V. Chirilă and has published in prestigious journals such as Advanced Materials, Nature Communications and Nature Materials.

In The Last Decade

Paul D. Dalton

150 papers receiving 10.6k citations

Hit Papers

Reinforcement of hydrogels using three-dimensional... 2007 2026 2013 2019 2015 2007 2016 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul D. Dalton Germany 57 6.7k 5.6k 2.7k 1.9k 1.5k 153 10.7k
Jürgen Gröll Germany 62 11.4k 1.7× 5.0k 0.9× 4.8k 1.8× 2.2k 1.1× 1.0k 0.7× 279 16.9k
Su Ryon Shin United States 65 11.8k 1.8× 4.5k 0.8× 2.8k 1.1× 2.6k 1.4× 803 0.5× 186 16.1k
Lijie Grace Zhang United States 63 7.7k 1.2× 2.7k 0.5× 2.9k 1.1× 1.5k 0.8× 425 0.3× 159 10.7k
Hojae Bae South Korea 54 8.8k 1.3× 4.5k 0.8× 1.9k 0.7× 2.1k 1.1× 434 0.3× 136 12.5k
Kan Yue China 43 6.1k 0.9× 3.2k 0.6× 1.6k 0.6× 1.3k 0.7× 588 0.4× 112 11.9k
Xin Zhao China 60 6.5k 1.0× 3.5k 0.6× 980 0.4× 1.9k 1.0× 729 0.5× 196 11.6k
Lorenzo Moroni Netherlands 62 10.2k 1.5× 6.0k 1.1× 3.1k 1.2× 3.2k 1.7× 397 0.3× 399 15.8k
GeunHyung Kim South Korea 55 7.4k 1.1× 4.3k 0.8× 2.6k 1.0× 2.0k 1.1× 564 0.4× 278 9.9k
Jeffrey T. Borenstein United States 40 6.3k 0.9× 2.6k 0.5× 547 0.2× 1.7k 0.9× 767 0.5× 146 9.1k
Cijun Shuai China 71 10.1k 1.5× 6.2k 1.1× 2.5k 0.9× 2.0k 1.0× 630 0.4× 462 17.8k

Countries citing papers authored by Paul D. Dalton

Since Specialization
Citations

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

Fields of papers citing papers by Paul D. Dalton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul D. Dalton. 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 Paul D. Dalton. The network helps show where Paul D. Dalton may publish in the future.

Co-authorship network of co-authors of Paul D. Dalton

This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Dalton. A scholar is included among the top collaborators of Paul D. Dalton 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 Paul D. Dalton. Paul D. Dalton 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.
Paxton, Naomi C., et al.. (2025). Visualising fibre path and generating G-code for melt electrowriting of tubular scaffolds using Grasshopper software. Virtual and Physical Prototyping. 20(1). 2 indexed citations
3.
Corke, Peter, et al.. (2024). Towards industry-ready additive manufacturing: AI-enabled closed-loop control for 3D melt electrowriting. SHILAP Revista de lepidopterología. 3(1). 158–158. 11 indexed citations
4.
5.
Pickering, Edmund, et al.. (2024). A Melt Electrowriting Toolbox for Automated G‐Code Generation and Toolpath Correction of Flat and Tubular Constructs. Advanced Materials Technologies. 9(22). 6 indexed citations
6.
Tandon, Biranche, et al.. (2024). First Advanced Bilayer Scaffolds for Tailored Skin Tissue Engineering Produced via Electrospinning and Melt Electrowriting. Advanced Functional Materials. 34(27). 26 indexed citations
7.
Bakırcı, Ezgi, et al.. (2024). Bioassembly of hemoglobin-loaded photopolymerizable spheroids alleviates hypoxia-induced cell death. Biofabrication. 16(2). 25026–25026. 4 indexed citations
8.
Tandon, Biranche, et al.. (2023). Effects of Electrode Design on the Melt Electrowriting of Sinusoidal Structures. Advanced Engineering Materials. 25(17). 1 indexed citations
9.
Paxton, Naomi C., et al.. (2023). Manufacture of Biomimetic Auricular Surgical Implants Using 3D Printed High Density Polyethylene Microfibers. Advanced Materials Technologies. 9(3). 8 indexed citations
11.
Bakırcı, Ezgi, et al.. (2023). Primary Glial Cell and Glioblastoma Morphology in Cocultures Depends on Scaffold Design and Hydrogel Composition. Advanced Biology. 7(10). e2300029–e2300029. 9 indexed citations
12.
Nüchter, Andreas, et al.. (2022). Melt Electrowriting of Poly(dioxanone) Filament Using a Multi‐Axis Robot. Macromolecular Materials and Engineering. 307(12). 20 indexed citations
13.
Hrynevich, Andrei, et al.. (2021). Design of Suspended Melt Electrowritten Fiber Arrays for Schwann Cell Migration and Neurite Outgrowth. Macromolecular Bioscience. 21(7). e2000439–e2000439. 16 indexed citations
14.
Mridha, Auvro R., Tim R. Dargaville, Paul D. Dalton, et al.. (2020). Prevascularized Retrievable Hybrid Implant to Enhance Function of Subcutaneous Encapsulated Islets. Tissue Engineering Part A. 28(5-6). 212–224. 20 indexed citations
15.
Youssef, Almoatazbellah, et al.. (2019). The Impact of Melt Electrowritten Scaffold Design on Porosity Determined by X-Ray Microtomography. Tissue Engineering Part C Methods. 25(6). 367–379. 45 indexed citations
16.
Petcu, Eugen, et al.. (2018). 3D printing strategies for peripheral nerve regeneration. Biofabrication. 10(3). 32001–32001. 87 indexed citations
17.
Wunner, Felix M., Sebastian Eggert, Onur Bas, et al.. (2018). Design and Development of a Three-Dimensional Printing High-Throughput Melt Electrowriting Technology Platform. 3D Printing and Additive Manufacturing. 6(2). 82–90. 39 indexed citations
18.
Jüngst, Tomasz, et al.. (2015). Melt electrospinning onto cylinders: effects of rotational velocity and collector diameter on morphology of tubular structures. Polymer International. 64(9). 1086–1095. 67 indexed citations
19.
Dalton, Paul D., et al.. (2008). Structure and Properties of Urea‐Crosslinked Star Poly[(ethylene oxide)‐ran‐(propylene oxide)] Hydrogels. Macromolecular Bioscience. 8(10). 923–931. 39 indexed citations
20.
Chirila, T.V., Ian J. Constable, Yi Hong, et al.. (1995). Synthetic hydrogel as an artificial vitreous body: A one-year animal study of its effects on the retina. Digital Commons - USU (Utah State University). 5(1). 83–96. 9 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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