Maja Baretić

3.9k total citations
42 papers, 255 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 42 papers receiving a total of 255 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, United States and Slovenia. Maja Baretić's co-authors include Martina Rojnić Kuzman, Marina Ivanišević, Vesna Kuŝec, Ante Bilić, Mate Mihanović, Ilijas Jelčić, Tina Dušek, Sanja Seljan, Dubravka Jurišić‐Eržen 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

35 papers receiving 249 citations

Peers

Maja Baretić
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 123
  • Surgery 51
  • Genetics 41
  • Physiology 40
  • Molecular Biology 34
Replace Jarosław Kozakowski with:
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Mariacristina Castelli United States
Shuyi Chen China
Tracey Weiss United States
Made Ratna Saraswati Indonesia
Raf Magar United States
Witold Bauer Poland
Evangelia Kotzakioulafi Greece
André Gustavo Pires de Sousa Brazil
Talla P. Shankar United States
Jarosław Kozakowski Poland View profile →
Citations per field, relative to Maja Baretić
Maja Baretić · 1×
Citations per year, relative to Maja Baretić
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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

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 3
5 4
6 3
7 2
8 22
9 3
10 7
11 1
12 5
13 8
14 0
15 31
16
Camurati-Engelmann disease in a family from Croatian Island: an old bone scan confirmed pattern of inheritance.
1
17 11
18
Association of blood pressure and body weight decline during one-year treatment with the incretin analogue exenatide
0
19 24
20
Overweight and obesity in Croatia.
1

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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