Ieva Plikusienė

42 total papers · 771 total citations
32 papers, 569 citations indexed

About

Ieva Plikusienė is a scholar working on Molecular Biology, Infectious Diseases and Biomedical Engineering. According to data from OpenAlex, Ieva Plikusienė has authored 32 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Infectious Diseases and 11 papers in Biomedical Engineering. Recurrent topics in Ieva Plikusienė's work include SARS-CoV-2 and COVID-19 Research (10 papers), Advanced biosensing and bioanalysis techniques (9 papers) and SARS-CoV-2 detection and testing (8 papers). Ieva Plikusienė is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (10 papers), Advanced biosensing and bioanalysis techniques (9 papers) and SARS-CoV-2 detection and testing (8 papers). Ieva Plikusienė collaborates with scholars based in Lithuania, France and Latvia. Ieva Plikusienė's co-authors include Arūnas Ramanavičius, Almira Ramanavičienė, Zigmas Balevičius, Anton Popov, Roman Viter, Saulius Balevičius, Urtė Samukaitė-Bubnienė, Vilma Ratautaitė, Mikhaël Bechelany and Inga Morkvėnaitė-Vilkončienė and has published in prestigious journals such as The Science of The Total Environment, Journal of The Electrochemical Society and Langmuir.

In The Last Decade

Ieva Plikusienė

29 papers receiving 556 citations

Author Peers

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

Author Last Decade Papers Cites
Ieva Plikusienė 293 231 190 170 76 32 569
Natalya Tokranova 296 1.0× 186 0.8× 161 0.8× 71 0.4× 72 0.9× 46 626
Oussama Ouerghi 170 0.6× 251 1.1× 143 0.8× 57 0.3× 37 0.5× 31 616
Nantao Li 460 1.6× 313 1.4× 152 0.8× 56 0.3× 107 1.4× 24 625
Sudeshna Pal 362 1.2× 216 0.9× 233 1.2× 35 0.2× 132 1.7× 27 591
Vahid Faramarzi 432 1.5× 329 1.4× 200 1.1× 84 0.5× 40 0.5× 24 688
Ibon Santiago 173 0.6× 164 0.7× 78 0.4× 82 0.5× 190 2.5× 22 584
Ga-Yeon Lee 275 0.9× 233 1.0× 211 1.1× 56 0.3× 15 0.2× 38 655
Geng-Yen Lee 324 1.1× 262 1.1× 265 1.4× 48 0.3× 44 0.6× 21 644
Chen Chen 388 1.3× 331 1.4× 260 1.4× 43 0.3× 79 1.0× 19 670
Nam Ho Bae 406 1.4× 235 1.0× 132 0.7× 46 0.3× 14 0.2× 38 606

Countries citing papers authored by Ieva Plikusienė

Since Specialization
Citations

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

Fields of papers citing papers by Ieva Plikusienė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ieva Plikusienė

This figure shows the co-authorship network connecting the top 25 collaborators of Ieva Plikusienė. A scholar is included among the top collaborators of Ieva Plikusienė 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 Ieva Plikusienė. Ieva Plikusienė 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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2026