Daiva Majienė

69 total papers · 1.1k total citations
38 papers, 912 citations indexed

About

Daiva Majienė is a scholar working on Biochemistry, Insect Science and Plant Science. According to data from OpenAlex, Daiva Majienė has authored 38 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biochemistry, 12 papers in Insect Science and 11 papers in Plant Science. Recurrent topics in Daiva Majienė's work include Phytochemicals and Antioxidant Activities (13 papers), Bee Products Chemical Analysis (12 papers) and Essential Oils and Antimicrobial Activity (8 papers). Daiva Majienė is often cited by papers focused on Phytochemicals and Antioxidant Activities (13 papers), Bee Products Chemical Analysis (12 papers) and Essential Oils and Antimicrobial Activity (8 papers). Daiva Majienė collaborates with scholars based in Lithuania, Czechia and Romania. Daiva Majienė's co-authors include Arūnas Savickas, Sonata Trumbeckaitė, Jurga Bernatonienė, Adolfas Toleikis, Valdas Jakštas, Rūta Masteiková, Loreta Kubilienė, Alvydas Pavilonis, Julius Liobikas and Kristina Ramanauskienė and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, FEBS Letters and Molecules.

In The Last Decade

Daiva Majienė

36 papers receiving 867 citations

Author Peers

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

Author Last Decade Papers Cites
Daiva Majienė 291 275 267 221 195 38 912
Rizwana Afroz 193 0.7× 287 1.0× 237 0.9× 186 0.8× 196 1.0× 36 1.1k
P. G. Pietta 228 0.8× 412 1.5× 194 0.7× 232 1.0× 264 1.4× 45 1.2k
Raquel Bridi 197 0.7× 387 1.4× 152 0.6× 264 1.2× 164 0.8× 53 1.1k
Müşerref Hilal Şehitoğlu 198 0.7× 182 0.7× 125 0.5× 215 1.0× 232 1.2× 33 805
Syuichi Fukumoto 210 0.7× 229 0.8× 143 0.5× 202 0.9× 191 1.0× 18 805
Gustavo Costa 334 1.1× 266 1.0× 127 0.5× 310 1.4× 278 1.4× 44 1.1k
Sudip Paul 142 0.5× 269 1.0× 344 1.3× 123 0.6× 122 0.6× 40 1.1k
Mirza Bojić 333 1.1× 235 0.9× 209 0.8× 461 2.1× 237 1.2× 46 1.2k
Hui‐Fang Chiu 167 0.6× 314 1.1× 129 0.5× 154 0.7× 214 1.1× 46 1.1k
Adriana Andrade Carvalho 405 1.4× 255 0.9× 219 0.8× 307 1.4× 66 0.3× 41 907

Countries citing papers authored by Daiva Majienė

Since Specialization
Citations

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

Fields of papers citing papers by Daiva Majienė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiva Majienė

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026