Daniela Lubasová

27 total papers · 672 total citations
18 papers, 521 citations indexed

About

Daniela Lubasová is a scholar working on Biomaterials, Biomedical Engineering and Polymers and Plastics. According to data from OpenAlex, Daniela Lubasová has authored 18 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomaterials, 11 papers in Biomedical Engineering and 4 papers in Polymers and Plastics. Recurrent topics in Daniela Lubasová's work include Electrospun Nanofibers in Biomedical Applications (17 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Daniela Lubasová is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (17 papers), Advanced Sensor and Energy Harvesting Materials (7 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Daniela Lubasová collaborates with scholars based in Czechia, United States and Norway. Daniela Lubasová's co-authors include Lenka Martinová, Fatma Yalçinkaya, Anil N. Netravali, David Lukáš, Petr Mikeš, John S. L. Parker, Jiří Chaloupek, Pavel Pokorný, Jiří Chvojka and Arindam Sarkar and has published in prestigious journals such as Journal of Controlled Release, RSC Advances and Journal of Applied Polymer Science.

In The Last Decade

Daniela Lubasová

17 papers receiving 515 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniela Lubasová 366 238 129 86 75 18 521
István Sebe 404 1.1× 213 0.9× 68 0.5× 88 1.0× 93 1.2× 28 604
Jianfeng Zhou 373 1.0× 164 0.7× 91 0.7× 127 1.5× 39 0.5× 11 507
Yudong Zheng 286 0.8× 220 0.9× 202 1.6× 58 0.7× 38 0.5× 20 565
Mojtaba Nasirinezhad 245 0.7× 213 0.9× 73 0.6× 40 0.5× 55 0.7× 9 515
Sadaf Saeedi Garakani 205 0.6× 175 0.7× 68 0.5× 53 0.6× 64 0.9× 17 527
Affaf Al-Oufy 369 1.0× 227 1.0× 104 0.8× 71 0.8× 22 0.3× 28 583
G. V. N. Rathna 321 0.9× 197 0.8× 89 0.7× 39 0.5× 48 0.6× 28 566
Won‐Ill Cha 243 0.7× 221 0.9× 162 1.3× 27 0.3× 36 0.5× 10 581
Ping Zhao 391 1.1× 224 0.9× 95 0.7× 142 1.7× 23 0.3× 10 605
Agata Niemczyk 227 0.6× 141 0.6× 141 1.1× 60 0.7× 28 0.4× 21 549

Countries citing papers authored by Daniela Lubasová

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Lubasová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Lubasová

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

All Works

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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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