Tamar B. Wissing

657 total citations
16 papers, 484 citations indexed

About

Tamar B. Wissing is a scholar working on Surgery, Biomaterials and Biomedical Engineering. According to data from OpenAlex, Tamar B. Wissing has authored 16 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 11 papers in Biomaterials and 11 papers in Biomedical Engineering. Recurrent topics in Tamar B. Wissing's work include Electrospun Nanofibers in Biomedical Applications (11 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Bone Tissue Engineering Materials (5 papers). Tamar B. Wissing is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (11 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Bone Tissue Engineering Materials (5 papers). Tamar B. Wissing collaborates with scholars based in Netherlands, United States and Germany. Tamar B. Wissing's co-authors include Anthal I.P.M. Smits, Carlijn V. C. Bouten, Valentina Bonito, Eline E. van Haaften, Nicholas A. Kurniawan, Marina van Doeselaar, Henk M. Janssen, Bastiaan D. Ippel, Merle M. Krebber and Marcel C. M. Rutten and has published in prestigious journals such as Advanced Drug Delivery Reviews, Scientific Reports and Acta Biomaterialia.

In The Last Decade

Tamar B. Wissing

16 papers receiving 481 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tamar B. Wissing Netherlands	10	281	260	203	71	64	16	484
Valentina Bonito Netherlands	8	242 0.9×	196 0.8×	189 0.9×	39 0.5×	43 0.7×	8	429
Lee A. Meier United States	9	337 1.2×	336 1.3×	176 0.9×	52 0.7×	69 1.1×	10	559
Yasumoto Matsumura Japan	10	273 1.0×	230 0.9×	179 0.9×	51 0.7×	73 1.1×	16	494
Eline E. van Haaften Netherlands	11	234 0.8×	198 0.8×	174 0.9×	38 0.5×	19 0.3×	15	417
Aida Llucià‐Valldeperas Spain	19	317 1.1×	416 1.6×	160 0.8×	48 0.7×	151 2.4×	39	687
Peter Benedikt Austria	6	250 0.9×	280 1.1×	189 0.9×	65 0.9×	134 2.1×	13	471
Katsuhiro Hosoyama Japan	9	239 0.9×	219 0.8×	196 1.0×	29 0.4×	71 1.1×	22	489
Debora Kehl Switzerland	9	150 0.5×	196 0.8×	98 0.5×	27 0.4×	49 0.8×	13	401
Florian Opitz Germany	6	378 1.3×	339 1.3×	166 0.8×	37 0.5×	77 1.2×	7	507
Murielle Rémy-Zolghadri Canada	11	197 0.7×	185 0.7×	170 0.8×	28 0.4×	25 0.4×	17	429

Countries citing papers authored by Tamar B. Wissing

Since Specialization

Citations

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

Fields of papers citing papers by Tamar B. Wissing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamar B. Wissing. 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 Tamar B. Wissing. The network helps show where Tamar B. Wissing may publish in the future.

Co-authorship network of co-authors of Tamar B. Wissing

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

All Works

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16 of 16 papers shown

1.

Wissing, Tamar B., et al.. (2025). Local characterization of collagen architecture and mechanical properties of tissue engineered atherosclerotic plaque cap analogs. Acta Biomaterialia. 194. 185–193. 2 indexed citations

2.

Akyildiz, Ali C., et al.. (2024). The interplay of collagen, macrophages, and microcalcification in atherosclerotic plaque cap rupture mechanics. Basic Research in Cardiology. 119(2). 193–213. 13 indexed citations

3.

Wissing, Tamar B., et al.. (2023). A tissue-engineered model of the atherosclerotic plaque cap: Toward understanding the role of microcalcifications in plaque rupture. APL Bioengineering. 7(3). 36120–36120. 6 indexed citations

4.

Giles, Rachel, Chris Van Dijk, Tamar B. Wissing, et al.. (2023). Effect of Mechanical Stimuli on the Phenotypic Plasticity of Induced Pluripotent Stem-Cell-Derived Vascular Smooth Muscle Cells in a 3D Hydrogel. ACS Applied Bio Materials. 6(12). 5716–5729. 7 indexed citations

5.

Wissing, Tamar B., et al.. (2022). Tissue-engineered collagenous fibrous cap models to systematically elucidate atherosclerotic plaque rupture. Scientific Reports. 12(1). 5434–5434. 10 indexed citations

6.

Wissing, Tamar B., et al.. (2022). A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue. Journal of Visualized Experiments. 4 indexed citations

7.

Marzi, Julia, Eva Brauchle, Tamar B. Wissing, et al.. (2022). Marker-Independent Monitoring of in vitro and in vivo Degradation of Supramolecular Polymers Applied in Cardiovascular in situ Tissue Engineering. Frontiers in Cardiovascular Medicine. 9. 885873–885873. 10 indexed citations

8.

Wissing, Tamar B., et al.. (2021). Immuno-regenerative biomaterials for in situ cardiovascular tissue engineering – Do patient characteristics warrant precision engineering?. Advanced Drug Delivery Reviews. 178. 113960–113960. 34 indexed citations

9.

Lurier, Emily B., et al.. (2021). Imparting Immunomodulatory Activity to Scaffolds via Biotin–Avidin Interactions. ACS Biomaterials Science & Engineering. 7(12). 5611–5621. 9 indexed citations

10.

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

11.

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

12.

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

13.

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

14.

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

15.

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

16.

Wissing, Tamar B., Valentina Bonito, Carlijn V. C. Bouten, & Anthal I.P.M. Smits. (2017). Biomaterial-driven in situ cardiovascular tissue engineering—a multi-disciplinary perspective. npj Regenerative Medicine. 2(1). 18–18. 174 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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