Daiva Baltriukienė

62 total papers · 1.2k total citations
48 papers, 927 citations indexed

About

Daiva Baltriukienė is a scholar working on Biomedical Engineering, Molecular Biology and Automotive Engineering. According to data from OpenAlex, Daiva Baltriukienė has authored 48 papers receiving a total of 927 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 14 papers in Molecular Biology and 6 papers in Automotive Engineering. Recurrent topics in Daiva Baltriukienė's work include 3D Printing in Biomedical Research (13 papers), Bone Tissue Engineering Materials (11 papers) and Nonlinear Optical Materials Studies (11 papers). Daiva Baltriukienė is often cited by papers focused on 3D Printing in Biomedical Research (13 papers), Bone Tissue Engineering Materials (11 papers) and Nonlinear Optical Materials Studies (11 papers). Daiva Baltriukienė collaborates with scholars based in Lithuania, United Kingdom and Spain. Daiva Baltriukienė's co-authors include Virginija Bukelskienė, Aurelijus Burokas, Ashwinipriyadarshini Megur, Mangirdas Malinauskas, Evaldas Balčiūnas, Vygandas Rutkūnas, Eric Banan-Mwine Daliri, R. Gadonas, Sima Rekštytė and Paulius Danilevičius and has published in prestigious journals such as Free Radical Biology and Medicine, International Journal of Molecular Sciences and Trends in Food Science & Technology.

In The Last Decade

Daiva Baltriukienė

43 papers receiving 897 citations

Author Peers

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

Author						Papers	Cites
Daiva Baltriukienė	417	275	169	109	103	48	927
Virginija Bukelskienė	536 1.3×	248 0.9×	125 0.7×	173 1.6×	86 0.8×	52	1.1k
Le Yu	602 1.4×	178 0.6×	67 0.4×	27 0.2×	9 0.1×	46	1.2k
Sangwoo Kim	179 0.4×	191 0.7×	46 0.3×	42 0.4×	16 0.2×	43	1.1k
Richard P. Tan	219 0.5×	249 0.9×	201 1.2×	20 0.2×	48 0.5×	38	978
Alex Chan	206 0.5×	322 1.2×	66 0.4×	29 0.3×	3 0.0×	39	1.1k
Marta Tunesi	406 1.0×	293 1.1×	105 0.6×	51 0.5×	31 0.3×	33	929
Kai Wang	333 0.8×	367 1.3×	35 0.2×	46 0.4×	13 0.1×	47	1.1k
Shuai Yang	526 1.3×	72 0.3×	14 0.1×	89 0.8×	28 0.3×	44	975
Tianshu Shi	315 0.8×	500 1.8×	72 0.4×	158 1.4×	12 0.1×	34	1.1k
Dominik Kraus	113 0.3×	312 1.1×	86 0.5×	9 0.1×	20 0.2×	81	1.2k

Countries citing papers authored by Daiva Baltriukienė

Since Specialization

Citations

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

Fields of papers citing papers by Daiva Baltriukienė

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiva Baltriukienė

This figure shows the co-authorship network connecting the top 25 collaborators of Daiva Baltriukienė. A scholar is included among the top collaborators of Daiva Baltriukienė 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 Daiva Baltriukienė. Daiva Baltriukienė 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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