Violeta Čeksterytė

42 total papers · 980 total citations
27 papers, 823 citations indexed

About

Violeta Čeksterytė is a scholar working on Insect Science, Food Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Violeta Čeksterytė has authored 27 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Insect Science, 10 papers in Food Science and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Violeta Čeksterytė's work include Bee Products Chemical Analysis (20 papers), Insect and Pesticide Research (17 papers) and Plant and animal studies (8 papers). Violeta Čeksterytė is often cited by papers focused on Bee Products Chemical Analysis (20 papers), Insect and Pesticide Research (17 papers) and Plant and animal studies (8 papers). Violeta Čeksterytė collaborates with scholars based in Lithuania and Netherlands. Violeta Čeksterytė's co-authors include Petras Rimantas Venskutonis, Vilma Kaškonienė, P. R. Venskutonis, Gražina Treigytė, Rūta Navakauskienė, Eugène Jansen, Veronika Borutinskaitė, Dalius Navakauskas, Artūras Serackis and Ingrida Mažeikienė and has published in prestigious journals such as Food Chemistry, LWT and Antioxidants.

In The Last Decade

Violeta Čeksterytė

26 papers receiving 772 citations

Author Peers

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

Author Last Decade Papers Cites
Violeta Čeksterytė 700 284 282 133 79 27 823
Adela Moise 662 0.9× 308 1.1× 248 0.9× 100 0.8× 108 1.4× 35 792
Sofia Karabournioti 633 0.9× 322 1.1× 196 0.7× 96 0.7× 58 0.7× 17 787
Esra Ulusoy 655 0.9× 372 1.3× 297 1.1× 87 0.7× 118 1.5× 10 827
Marisol Juan‐Borrás 688 1.0× 484 1.7× 245 0.9× 77 0.6× 99 1.3× 29 948
Salim Ouchemoukh 593 0.8× 384 1.4× 291 1.0× 58 0.4× 165 2.1× 24 862
Kaspar Ruoff 886 1.3× 444 1.6× 183 0.6× 158 1.2× 46 0.6× 12 1.0k
Eleftherios Alissandrakis 730 1.0× 524 1.8× 219 0.8× 122 0.9× 92 1.2× 32 1.0k
F. Ventura Coll 438 0.6× 520 1.8× 189 0.7× 60 0.5× 151 1.9× 21 838
Sudhanshu Saxena 481 0.7× 287 1.0× 274 1.0× 64 0.5× 214 2.7× 33 836
Michał Górecki 534 0.8× 272 1.0× 134 0.5× 69 0.5× 134 1.7× 14 783

Countries citing papers authored by Violeta Čeksterytė

Since Specialization
Citations

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

Fields of papers citing papers by Violeta Čeksterytė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Violeta Čeksterytė

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