Eline E. van Haaften

538 total citations
15 papers, 417 citations indexed

About

Eline E. van Haaften is a scholar working on Biomaterials, Surgery and Biomedical Engineering. According to data from OpenAlex, Eline E. van Haaften has authored 15 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomaterials, 10 papers in Surgery and 10 papers in Biomedical Engineering. Recurrent topics in Eline E. van Haaften's work include Electrospun Nanofibers in Biomedical Applications (13 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Bone Tissue Engineering Materials (5 papers). Eline E. van Haaften is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (13 papers), Tissue Engineering and Regenerative Medicine (8 papers) and Bone Tissue Engineering Materials (5 papers). Eline E. van Haaften collaborates with scholars based in Netherlands, Italy and Germany. Eline E. van Haaften's co-authors include Carlijn V. C. Bouten, Nicholas A. Kurniawan, Anthal I.P.M. Smits, Tamar B. Wissing, Henk M. Janssen, Bastiaan D. Ippel, Marina van Doeselaar, Valentina Bonito, Patricia Y. W. Dankers and Keita Ito and has published in prestigious journals such as Acta Biomaterialia, Soft Matter and Journal of Orthopaedic Research®.

In The Last Decade

Eline E. van Haaften

15 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eline E. van Haaften Netherlands 11 234 198 174 50 44 15 417
Maxime Guillemette Canada 11 221 0.9× 194 1.0× 187 1.1× 34 0.7× 33 0.8× 13 409
Jason W. Bjork United States 6 241 1.0× 193 1.0× 173 1.0× 40 0.8× 30 0.7× 7 354
Tamar B. Wissing Netherlands 10 281 1.2× 260 1.3× 203 1.2× 45 0.9× 45 1.0× 16 484
Deirdre E.J. Anderson United States 15 326 1.4× 221 1.1× 178 1.0× 78 1.6× 38 0.9× 29 622
Murielle Rémy-Zolghadri Canada 11 197 0.8× 185 0.9× 170 1.0× 57 1.1× 30 0.7× 17 429
Jiayun Huang China 14 141 0.6× 252 1.3× 148 0.9× 103 2.1× 57 1.3× 25 654
Yiying Qi China 13 198 0.8× 227 1.1× 185 1.1× 96 1.9× 27 0.6× 27 658
Tanaya Walimbe United States 10 167 0.7× 105 0.5× 98 0.6× 67 1.3× 64 1.5× 14 375
Chenqi Tang China 14 134 0.6× 258 1.3× 129 0.7× 78 1.6× 67 1.5× 24 610
Zayna Nahas United States 10 232 1.0× 352 1.8× 160 0.9× 45 0.9× 58 1.3× 13 765

Countries citing papers authored by Eline E. van Haaften

Since Specialization
Citations

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

Fields of papers citing papers by Eline E. van Haaften

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eline E. van Haaften. 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 Eline E. van Haaften. The network helps show where Eline E. van Haaften may publish in the future.

Co-authorship network of co-authors of Eline E. van Haaften

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

All Works

15 of 15 papers shown
1.
Haaften, Eline E. van, et al.. (2021). Computationally guided in-vitro vascular growth model reveals causal link between flow oscillations and disorganized neotissue. Communications Biology. 4(1). 546–546. 6 indexed citations
2.
Ippel, Bastiaan D., Eline E. van Haaften, Carlijn V. C. Bouten, & Patricia Y. W. Dankers. (2020). Impact of Additives on Mechanical Properties of Supramolecular Electrospun Scaffolds. ACS Applied Polymer Materials. 2(9). 3742–3748. 14 indexed citations
3.
Duijvelshoff, Renée, Andrea Di Luca, Eline E. van Haaften, et al.. (2020). Inconsistency in Graft Outcome of Bilayered Bioresorbable Supramolecular Arterial Scaffolds in Rats. Tissue Engineering Part A. 27(13-14). 894–904. 15 indexed citations
4.
Haaften, Eline E. van, et al.. (2020). A Multi-Cue Bioreactor to Evaluate the Inflammatory and Regenerative Capacity of Biomaterials under Flow and Stretch. Journal of Visualized Experiments. 4 indexed citations
5.
Haaften, Eline E. van, Tamar B. Wissing, Nicholas A. Kurniawan, Anthal I.P.M. Smits, & Carlijn V. C. Bouten. (2020). Human In Vitro Model Mimicking Material‐Driven Vascular Regeneration Reveals How Cyclic Stretch and Shear Stress Differentially Modulate Inflammation and Matrix Deposition. Advanced Biosystems. 4(6). e1900249–e1900249. 27 indexed citations
6.
Haaften, Eline E. van, et al.. (2020). A Multi-Cue Bioreactor to Evaluate the Inflammatory and Regenerative Capacity of Biomaterials under Flow and Stretch. Journal of Visualized Experiments. 2 indexed citations
7.
Haaften, Eline E. van, Renée Duijvelshoff, Bastiaan D. Ippel, et al.. (2019). The degradation and performance of electrospun supramolecular vascular scaffolds examined upon in vitro enzymatic exposure. Acta Biomaterialia. 92. 48–59. 25 indexed citations
8.
Haaften, Eline E. van, Tomasz Jüngst, Antoine J.W.P. Rosenberg, et al.. (2019). Layer-specific cell differentiation in bi-layered vascular grafts under flow perfusion. Biofabrication. 12(1). 15009–15009. 49 indexed citations
9.
Wissing, Tamar B., Valentina Bonito, Eline E. van Haaften, et al.. (2019). Macrophage-Driven Biomaterial Degradation Depends on Scaffold Microarchitecture. Frontiers in Bioengineering and Biotechnology. 7. 87–87. 87 indexed citations
10.
Wissing, Tamar B., Eline E. van Haaften, Bastiaan D. Ippel, et al.. (2019). Hemodynamic loads distinctively impact the secretory profile of biomaterial-activated macrophages – implications forin situvascular tissue engineering. Biomaterials Science. 8(1). 132–147. 46 indexed citations
11.
Haaften, Eline E. van, Mark C. van Turnhout, & Nicholas A. Kurniawan. (2019). Image-based analysis of uniaxial ring test for mechanical characterization of soft materials and biological tissues. Soft Matter. 15(16). 3353–3361. 8 indexed citations
12.
Haaften, Eline E. van, Tamar B. Wissing, Marcel C. M. Rutten, et al.. (2018). Decoupling the Effect of Shear Stress and Stretch on Tissue Growth and Remodeling in a Vascular Graft. Tissue Engineering Part C Methods. 24(7). 418–429. 49 indexed citations
13.
Haaften, Eline E. van, Carlijn V. C. Bouten, & Nicholas A. Kurniawan. (2017). Vascular Mechanobiology: Towards Control of In Situ Regeneration. Cells. 6(3). 19–19. 51 indexed citations
14.
Moerman, Kevin M., et al.. (2016). On the importance of 3D, geometrically accurate, and subject-specific finite element analysis for evaluation of in-vivo soft tissue loads. Computer Methods in Biomechanics & Biomedical Engineering. 20(5). 483–491. 20 indexed citations
15.
Haaften, Eline E. van, Keita Ito, & Corrinus C. van Donkelaar. (2016). The initial repair response of articular cartilage after mechanically induced damage. Journal of Orthopaedic Research®. 35(6). 1265–1273. 14 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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