Tina Lešić

118 total papers · 780 total citations
58 papers, 604 citations indexed

About

Tina Lešić is a scholar working on Animal Science and Zoology, Plant Science and Molecular Biology. According to data from OpenAlex, Tina Lešić has authored 58 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Animal Science and Zoology, 24 papers in Plant Science and 18 papers in Molecular Biology. Recurrent topics in Tina Lešić's work include Meat and Animal Product Quality (27 papers), Mycotoxins in Agriculture and Food (23 papers) and Protein Hydrolysis and Bioactive Peptides (17 papers). Tina Lešić is often cited by papers focused on Meat and Animal Product Quality (27 papers), Mycotoxins in Agriculture and Food (23 papers) and Protein Hydrolysis and Bioactive Peptides (17 papers). Tina Lešić collaborates with scholars based in Croatia, Serbia and Slovenia. Tina Lešić's co-authors include Jelka Pleadin, Manuela Zadravec, Ana Vulić, Nada Vahčić, Ksenija Markov, Jadranka Frece, Vincent Baeten, Tomislav Mikuš, Jelena Prpić and Ouissam Abbas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Food Chemistry and International Journal of Food Microbiology.

In The Last Decade

Tina Lešić

51 papers receiving 589 citations

Author Peers

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

Author						Papers	Cites
Tina Lešić	236	230	192	163	76	58	604
Xiaohui Wang	125 0.5×	257 1.1×	223 1.2×	149 0.9×	44 0.6×	35	632
Xiao‐Yan Song	175 0.7×	343 1.5×	125 0.7×	150 0.9×	45 0.6×	28	634
Juntao Li	127 0.5×	134 0.6×	223 1.2×	74 0.5×	31 0.4×	52	642
Krzysztof Damaziak	87 0.4×	191 0.8×	452 2.4×	139 0.9×	45 0.6×	59	691
Shyang‐Chwen Sheu	291 1.2×	162 0.7×	65 0.3×	125 0.8×	163 2.1×	36	616
Sâmara Alvachian Cardoso Andrade	99 0.4×	157 0.7×	136 0.7×	244 1.5×	49 0.6×	57	651
Xiaorong Xu	155 0.7×	184 0.8×	46 0.2×	146 0.9×	70 0.9×	38	505
Wiesław Przybylski	120 0.5×	113 0.5×	392 2.0×	144 0.9×	81 1.1×	65	651
Sara W. Erasmus	173 0.7×	92 0.4×	156 0.8×	150 0.9×	97 1.3×	44	613
Zhenzhen Liu	204 0.9×	317 1.4×	134 0.7×	117 0.7×	18 0.2×	54	683

Countries citing papers authored by Tina Lešić

Since Specialization

Citations

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

Fields of papers citing papers by Tina Lešić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tina Lešić

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