Daiva Žadeikė

1.5k total citations
66 papers, 1.2k citations indexed

About

Daiva Žadeikė is a scholar working on Food Science, Nutrition and Dietetics and Plant Science. According to data from OpenAlex, Daiva Žadeikė has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Food Science, 30 papers in Nutrition and Dietetics and 23 papers in Plant Science. Recurrent topics in Daiva Žadeikė's work include Probiotics and Fermented Foods (22 papers), Food composition and properties (21 papers) and Protein Hydrolysis and Bioactive Peptides (11 papers). Daiva Žadeikė is often cited by papers focused on Probiotics and Fermented Foods (22 papers), Food composition and properties (21 papers) and Protein Hydrolysis and Bioactive Peptides (11 papers). Daiva Žadeikė collaborates with scholars based in Lithuania, Latvia and Italy. Daiva Žadeikė's co-authors include Gražina Juodeikienė, Elena Bartkienė, Vadims Bartkevičs, Vita Lėlė, Darius Černauskas, Dovilė Klupšaitė, Iveta Pugajeva, Dalia Čižeikienė, Vita Krunglevičiūtė and Paulina Zavistanavičiūtė and has published in prestigious journals such as SHILAP Revista de lepidopterología, Molecules and Journal of Dairy Science.

In The Last Decade

Daiva Žadeikė

64 papers receiving 1.1k citations

Peers

Daiva Žadeikė
Comparison fields: 5 of 102
  • Food Science 675
  • Nutrition and Dietetics 413
  • Plant Science 318
  • Molecular Biology 309
  • Animal Science and Zoology 168
Replace Dovilė Klupšaitė with:
Dovilė Klupšaitė Lithuania
Vita Lėlė Lithuania
Paulina Zavistanavičiūtė Lithuania
Sandra Helena Prudêncio Brazil
Vytautė Starkutė Lithuania
Sandra García Brazil
Shirani Gamlath Australia
Dominik Guggisberg Switzerland
Henriëtte L. de Kock South Africa
Lara Wakeling Australia
Dovilė Klupšaitė Lithuania View profile →
Citations per field, relative to Daiva Žadeikė
Daiva Žadeikė · 1×
Citations per year, relative to Daiva Žadeikė
Daiva Žadeikė · 1×

Countries citing papers authored by Daiva Žadeikė

Since Specialization
Citations

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

Fields of papers citing papers by Daiva Žadeikė

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiva Žadeikė

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 4
3 0
4 7
5 1
6 2
7 29
8 10
9 19
10 3
11 2
12 26
13 15
14 18
15 1
16 3
17 10
18
The Use of Tomato Powder Fermented with Pediococcus pentosaceus and Lactobacillus sakei for the Ready-to-Cook Minced Meat Quality Improvement
2
19 4
20 9

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