Valentina Bonito

544 total citations
8 papers, 429 citations indexed

About

Valentina Bonito is a scholar working on Biomaterials, Biomedical Engineering and Surgery. According to data from OpenAlex, Valentina Bonito has authored 8 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomaterials, 6 papers in Biomedical Engineering and 5 papers in Surgery. Recurrent topics in Valentina Bonito's work include Electrospun Nanofibers in Biomedical Applications (6 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Bone Tissue Engineering Materials (3 papers). Valentina Bonito is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (6 papers), Tissue Engineering and Regenerative Medicine (5 papers) and Bone Tissue Engineering Materials (3 papers). Valentina Bonito collaborates with scholars based in Netherlands, Switzerland and Germany. Valentina Bonito's co-authors include Anthal I.P.M. Smits, Carlijn V. C. Bouten, Tamar B. Wissing, Marina van Doeselaar, Eline E. van Haaften, Henk M. Janssen, Babu Varghese, Tristan Mes, Anton W. Bosman and Patricia Y. W. Dankers and has published in prestigious journals such as Optics Express, Acta Biomaterialia and Advanced Healthcare Materials.

In The Last Decade

Valentina Bonito

8 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valentina Bonito Netherlands 8 242 196 189 43 39 8 429
Tamar B. Wissing Netherlands 10 281 1.2× 260 1.3× 203 1.1× 64 1.5× 71 1.8× 16 484
Robert S. Kellar United States 16 294 1.2× 282 1.4× 192 1.0× 38 0.9× 17 0.4× 34 694
Matti A. Hiob Australia 11 286 1.2× 148 0.8× 166 0.9× 20 0.5× 44 1.1× 13 522
Yasumoto Matsumura Japan 10 273 1.1× 230 1.2× 179 0.9× 73 1.7× 51 1.3× 16 494
Katsuhiro Hosoyama Japan 9 239 1.0× 219 1.1× 196 1.0× 71 1.7× 29 0.7× 22 489
Andrew K. Capulli United States 8 402 1.7× 304 1.6× 437 2.3× 74 1.7× 23 0.6× 9 767
Bob S. L. Lee Australia 11 154 0.6× 129 0.7× 79 0.4× 9 0.2× 35 0.9× 19 464
Brendan P. Flynn United States 11 220 0.9× 105 0.5× 194 1.0× 41 1.0× 57 1.5× 15 597
Neda Latifi Canada 8 120 0.5× 92 0.5× 133 0.7× 11 0.3× 36 0.9× 17 337
Wooyeol Baek South Korea 10 59 0.2× 160 0.8× 83 0.4× 11 0.3× 45 1.2× 40 348

Countries citing papers authored by Valentina Bonito

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Bonito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Bonito

This figure shows the co-authorship network connecting the top 25 collaborators of Valentina Bonito. A scholar is included among the top collaborators of Valentina Bonito 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 Valentina Bonito. Valentina Bonito 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.
Bonito, Valentina, Merle M. Krebber, Julia Marzi, et al.. (2021). Distinct Effects of Heparin and Interleukin‐4 Functionalization on Macrophage Polarization and In Situ Arterial Tissue Regeneration Using Resorbable Supramolecular Vascular Grafts in Rats. Advanced Healthcare Materials. 10(21). e2101103–e2101103. 19 indexed citations
2.
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
3.
Bonito, Valentina, et al.. (2018). Cyclic Strain Affects Macrophage Cytokine Secretion and Extracellular Matrix Turnover in Electrospun Scaffolds. Tissue Engineering Part A. 25(17-18). 1310–1325. 32 indexed citations
4.
Bonito, Valentina, Anthal I.P.M. Smits, Olga J. G. M. Goor, et al.. (2018). Modulation of macrophage phenotype and protein secretion via heparin-IL-4 functionalized supramolecular elastomers. Acta Biomaterialia. 71. 247–260. 66 indexed citations
5.
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
6.
Smits, Anthal I.P.M., Valentina Bonito, & Martin J. Stoddart. (2016). In Situ Tissue Engineering: Seducing the Body to Regenerate. Tissue Engineering Part A. 22(17-18). 1061–1062. 11 indexed citations
7.
Varghese, Babu, et al.. (2015). Influence of absorption induced thermal initiation pathway on irradiance threshold for laser induced breakdown. Biomedical Optics Express. 6(4). 1234–1234. 29 indexed citations
8.
Varghese, Babu, et al.. (2013). Effects of polarization and apodization on laser induced optical breakdown threshold. Optics Express. 21(15). 18304–18304. 11 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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