Maja Barbalić

77 total papers · 12.2k total citations
28 papers, 452 citations indexed

About

Maja Barbalić is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Maja Barbalić has authored 28 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 10 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Molecular Biology. Recurrent topics in Maja Barbalić's work include Thyroid Disorders and Treatments (8 papers), Genetic Associations and Epidemiology (6 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). Maja Barbalić is often cited by papers focused on Thyroid Disorders and Treatments (8 papers), Genetic Associations and Epidemiology (6 papers) and Growth Hormone and Insulin-like Growth Factors (5 papers). Maja Barbalić collaborates with scholars based in Croatia, United Kingdom and United States. Maja Barbalić's co-authors include Ozren Polašek, Caroline Hayward, Guillaume Paré, Josée Dupuis, Daniel I. Chasman, Joshua C. Bis, Paul M. Ridker, Abbas Dehghan, Eric Boerwinkle and Emelia J. Benjamin and has published in prestigious journals such as Blood, The Journal of Clinical Endocrinology & Metabolism and Scientific Reports.

In The Last Decade

Maja Barbalić

28 papers receiving 446 citations

Author Peers

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

Author						Papers	Cites
Maja Barbalić	150	104	96	81	63	28	452
Sophia Stone	71 0.5×	75 0.7×	65 0.7×	37 0.5×	47 0.7×	23	429
Kentaro Tsunamoto	58 0.4×	106 1.0×	87 0.9×	139 1.7×	72 1.1×	26	514
M. Lombardo	91 0.6×	29 0.3×	142 1.5×	49 0.6×	25 0.4×	34	448
Pelin Adıyaman	143 1.0×	25 0.2×	183 1.9×	158 2.0×	49 0.8×	40	449
Osamu Shinohara	107 0.7×	107 1.0×	99 1.0×	137 1.7×	17 0.3×	30	477
Shubhada Jagasia	76 0.5×	117 1.1×	122 1.3×	85 1.0×	23 0.4×	21	485
Jerzy S. Tarach	34 0.2×	54 0.5×	131 1.4×	98 1.2×	50 0.8×	42	409
Motasem Melhem	111 0.7×	30 0.3×	52 0.5×	186 2.3×	78 1.2×	32	525
Lilach Bonstein	95 0.6×	106 1.0×	22 0.2×	174 2.1×	26 0.4×	23	458
Rachel H. Bonami	122 0.8×	23 0.2×	115 1.2×	88 1.1×	254 4.0×	30	537

Countries citing papers authored by Maja Barbalić

Since Specialization

Citations

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

Fields of papers citing papers by Maja Barbalić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Barbalić

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