Daniela Pasqui

28 papers receiving 1.5k citations

Peers

Daniela Pasqui
Comparison fields: 5 of 70
  • Molecular Medicine 332
  • Surfaces, Coatings and Films 190
  • Cell Biology 330
  • Biomaterials 197
  • Biomedical Engineering 431
Replace Martin Pařízek with:
Martin Pařízek Czechia
Hai Bang Lee South Korea
Yin Chen Hong Kong
Jorge Almodóvar United States
Prathamesh M. Kharkar United States
Shiao‐Wen Tsai Taiwan
Gilbert Legeay France
Michael L. Floren United States
Peter Chabreček Switzerland
Varvara Gribova France
Daniela Pasqui relative to Martin Pařízek Czechia Martin Pařízek's profile →
Citations per field
00.5×2×3.4×
Martin Pařízek · 1×
Citations per year

Countries citing papers authored by Daniela Pasqui

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Pasqui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Pasqui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Pasqui Line = papers co-authored together Daniela Pasqui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001198
2 2004169
3 2012167
4 2013108
5 201196
6 200879
7 200468
8 201059
9 200352
10 200551
11 200249
12 200244
13 200343
14 200342
15 201334
16 201026
17 200524
18 200724
19 200723
20 200822

About Daniela Pasqui

Daniela Pasqui is a scholar working on Cell Biology, Molecular Medicine, Surfaces, Coatings and Films, Biomedical Engineering and Renewable Energy, Sustainability and the Environment, having authored 29 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (13 papers), Hydrogels: synthesis, properties, applications (8 papers), Polymer Surface Interaction Studies (4 papers), Bone Tissue Engineering Materials (3 papers), TiO2 Photocatalysis and Solar Cells (2 papers), Polysaccharides Composition and Applications (1 paper), Nanoparticles: synthesis and applications (1 paper) and Nanoparticle-Based Drug Delivery (1 paper). The work is most often cited by research in Molecular Medicine (332 citations), Surfaces, Coatings and Films (190 citations), Cell Biology (330 citations), Biomaterials (197 citations) and Biomedical Engineering (431 citations). Daniela Pasqui has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Rolando Barbucci, Adam S.G. Curtis, Agnese Magnani, A. Atrei, Milena Fini, Stefania Lamponi, S. Affrossman, Christopher D. W. Wilkinson, J.O. Gallagher and B. Casey. Their work appears in journals such as Biomacromolecules, Biomaterials, Soft Matter, Materials Science and Engineering C and Journal of Biomedical Materials Research Part A.

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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