Maja Baretić

185 total papers · 3.7k total citations
41 papers, 257 citations indexed

About

Maja Baretić is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Maja Baretić has authored 41 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Endocrinology, Diabetes and Metabolism, 10 papers in Surgery and 7 papers in Genetics. Recurrent topics in Maja Baretić's work include Diabetes Treatment and Management (8 papers), Diabetes Management and Research (7 papers) and Pancreatic function and diabetes (7 papers). Maja Baretić is often cited by papers focused on Diabetes Treatment and Management (8 papers), Diabetes Management and Research (7 papers) and Pancreatic function and diabetes (7 papers). Maja Baretić collaborates with scholars based in Croatia, Slovenia and Norway. Maja Baretić's co-authors include Martina Rojnić Kuzman, Mate Mihanović, Vesna Kuŝec, Ante Bilić, Sanja Seljan, Nikolina Jovanović, Ilijas Jelčić, Marina Ivanišević, Darko Kaštelan and Josip Paladino and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and Journal of Hypertension.

In The Last Decade

Maja Baretić

36 papers receiving 251 citations

Author Peers

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

Author Last Decade Papers Cites
Maja Baretić 122 51 40 40 34 41 257
Jarosław Kozakowski 119 1.0× 20 0.4× 63 1.6× 29 0.7× 45 1.3× 25 305
А. M. Mkrtumyan 120 1.0× 31 0.6× 49 1.2× 20 0.5× 40 1.2× 65 242
Wenhui Zhang 112 0.9× 57 1.1× 34 0.8× 15 0.4× 92 2.7× 33 307
Meinders Ae 75 0.6× 41 0.8× 85 2.1× 17 0.4× 34 1.0× 29 304
Han Lin 72 0.6× 35 0.7× 50 1.3× 29 0.7× 73 2.1× 26 324
M. Cecchettin 30 0.2× 62 1.2× 30 0.8× 29 0.7× 46 1.4× 34 323
Delia Lidia Șalaru 39 0.3× 58 1.1× 38 0.9× 37 0.9× 75 2.2× 42 328
Fatma Ela Keskin 139 1.1× 57 1.1× 47 1.2× 22 0.6× 94 2.8× 24 312
M. Romussi 136 1.1× 72 1.4× 64 1.6× 18 0.5× 69 2.0× 22 324
F. Erhardt 166 1.4× 39 0.8× 29 0.7× 14 0.3× 37 1.1× 28 272

Countries citing papers authored by Maja Baretić

Since Specialization
Citations

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

Fields of papers citing papers by Maja Baretić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Baretić

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