Daniela P. Vasconcelos

967 total citations
16 papers, 760 citations indexed

About

Daniela P. Vasconcelos is a scholar working on Immunology, Molecular Biology and Biomaterials. According to data from OpenAlex, Daniela P. Vasconcelos has authored 16 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Molecular Biology and 4 papers in Biomaterials. Recurrent topics in Daniela P. Vasconcelos's work include Immune cells in cancer (5 papers), Mesenchymal stem cell research (3 papers) and Osteoarthritis Treatment and Mechanisms (3 papers). Daniela P. Vasconcelos is often cited by papers focused on Immune cells in cancer (5 papers), Mesenchymal stem cell research (3 papers) and Osteoarthritis Treatment and Mechanisms (3 papers). Daniela P. Vasconcelos collaborates with scholars based in Portugal, Spain and Italy. Daniela P. Vasconcelos's co-authors include Mário A. Barbosa, Judite N. Barbosa, Artur P. Águas, Madalena Costa, Isabel F. Amaral, Catarina R. Almeida, Pablo Pelegrı́n, Cristina C. Barrias, A.L. Torres and Hugo R. Caires and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and Frontiers in Immunology.

In The Last Decade

Daniela P. Vasconcelos

16 papers receiving 756 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela P. Vasconcelos Portugal 12 303 218 186 168 137 16 760
Judite N. Barbosa Portugal 16 419 1.4× 243 1.1× 305 1.6× 206 1.2× 144 1.1× 23 983
Kai Dai China 14 394 1.3× 160 0.7× 235 1.3× 164 1.0× 62 0.5× 32 854
David R. Maestas United States 11 268 0.9× 306 1.4× 214 1.2× 244 1.5× 175 1.3× 17 924
Forough Azam Sayahpour Iran 17 258 0.9× 225 1.0× 237 1.3× 269 1.6× 55 0.4× 38 834
Raji R. Nagalla United States 6 263 0.9× 171 0.8× 164 0.9× 265 1.6× 189 1.4× 8 941
Xichao Zhou China 14 345 1.1× 156 0.7× 170 0.9× 317 1.9× 117 0.9× 23 959
Olwyn R. Mahon Ireland 11 396 1.3× 226 1.0× 158 0.8× 202 1.2× 101 0.7× 14 780
Kaishun Xia China 24 318 1.0× 255 1.2× 193 1.0× 447 2.7× 105 0.8× 50 1.5k
Yiyuan Duan China 17 368 1.2× 215 1.0× 290 1.6× 191 1.1× 72 0.5× 30 900
Asieh Heirani‐Tabasi Iran 15 270 0.9× 210 1.0× 220 1.2× 199 1.2× 35 0.3× 44 708

Countries citing papers authored by Daniela P. Vasconcelos

Since Specialization
Citations

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

Fields of papers citing papers by Daniela P. Vasconcelos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela P. Vasconcelos. 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 Daniela P. Vasconcelos. The network helps show where Daniela P. Vasconcelos may publish in the future.

Co-authorship network of co-authors of Daniela P. Vasconcelos

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

All Works

16 of 16 papers shown
1.
Vasconcelos, Daniela P., et al.. (2025). Deciphering cartilage neuro-immune interactions and innervation profile through 3D engineered osteoarthritic micropathophysiological system. Materials Today Bio. 31. 101491–101491. 3 indexed citations
2.
Vasconcelos, Daniela P., Catarina Leite Pereira, Estrela Neto, et al.. (2024). Nanoenabled Immunomodulatory Scaffolds for Cartilage Tissue Engineering. Advanced Functional Materials. 34(29). 6 indexed citations
3.
Vasconcelos, Daniela P., et al.. (2024). Neuro‐Immunomodulatory Potential of Nanoenabled 4D Bioprinted Microtissue for Cartilage Tissue Engineering. Advanced Healthcare Materials. 14(5). e2400496–e2400496. 3 indexed citations
4.
Vasconcelos, Daniela P., et al.. (2022). The Neuroimmune Interplay in Joint Pain: The Role of Macrophages. Frontiers in Immunology. 13. 812962–812962. 20 indexed citations
5.
Vasconcelos, Daniela P., Artur P. Águas, & Judite N. Barbosa. (2022). The inflammasome in biomaterial‐driven immunomodulation. Journal of Tissue Engineering and Regenerative Medicine. 16(12). 1109–1120. 9 indexed citations
6.
Vasconcelos, Daniela P., et al.. (2020). The Mechanisms Underlying the Biological Response to Wear Debris in Periprosthetic Inflammation. Frontiers in Materials. 7. 32 indexed citations
7.
Vasconcelos, Daniela P., Carlos de Torre‐Minguela, Ana Isabel Gómez Córdoba, et al.. (2019). 3D chitosan scaffolds impair NLRP3 inflammasome response in macrophages. Acta Biomaterialia. 91. 123–134. 33 indexed citations
8.
Torres, A.L., Daniela P. Vasconcelos, Cláudia Ribeiro-Machado, et al.. (2019). Osteogenic, anti-osteoclastogenic and immunomodulatory properties of a strontium-releasing hybrid scaffold for bone repair. Materials Science and Engineering C. 99. 1289–1303. 72 indexed citations
9.
Torres, A.L., Sílvia J. Bidarra, Daniela P. Vasconcelos, et al.. (2019). Microvascular engineering: Dynamic changes in microgel-entrapped vascular cells correlates with higher vasculogenic/angiogenic potential. Biomaterials. 228. 119554–119554. 34 indexed citations
10.
Vasconcelos, Daniela P., Artur P. Águas, Mário A. Barbosa, Pablo Pelegrı́n, & Judite N. Barbosa. (2018). The inflammasome in host response to biomaterials: Bridging inflammation and tissue regeneration. Acta Biomaterialia. 83. 1–12. 99 indexed citations
11.
Vasconcelos, Daniela P., Madalena Costa, Nuno Nevès, et al.. (2018). Chitosan porous 3D scaffolds embedded with resolvin D1 to improve in vivo bone healing. Journal of Biomedical Materials Research Part A. 106(6). 1626–1633. 29 indexed citations
12.
Almeida, Catarina R., Hugo R. Caires, Daniela P. Vasconcelos, & Mário A. Barbosa. (2016). NAP-2 Secreted by Human NK Cells Can Stimulate Mesenchymal Stem/Stromal Cell Recruitment. Stem Cell Reports. 6(4). 466–473. 56 indexed citations
13.
Vasconcelos, Daniela P., Madalena Costa, Isabel F. Amaral, et al.. (2015). Development of an immunomodulatory biomaterial: Using resolvin D1 to modulate inflammation. Biomaterials. 53. 566–573. 69 indexed citations
14.
Vasconcelos, Daniela P., Madalena Costa, Isabel F. Amaral, et al.. (2014). Modulation of the inflammatory response to chitosan through M2 macrophage polarization using pro-resolution mediators. Biomaterials. 37. 116–123. 123 indexed citations
15.
Vasconcelos, Daniela P., Madalena Costa, Isabel F. Amaral, et al.. (2013). Macrophage polarization following chitosan implantation. Biomaterials. 34(38). 9952–9959. 117 indexed citations
16.
Almeida, Catarina R., Daniela P. Vasconcelos, Raquel M. Gonçalves, & Mário A. Barbosa. (2011). Enhanced mesenchymal stromal cell recruitment via natural killer cells by incorporation of inflammatory signals in biomaterials. Journal of The Royal Society Interface. 9(67). 261–271. 55 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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