Miriam Kozárová

768 citations
25 papers · 274 indexed · h-index 9
Topics
Lipoproteins and Cardiovascular Health (5 papers)Diabetes Treatment and Management (4 papers)Cancer, Lipids, and Metabolism (3 papers)
Partner nations
SlovakiaCzechiaItaly

In The Last Decade

Miriam Kozárová

23 papers receiving 267 citations

Peers

Miriam Kozárová
Comparison fields: 5 of 44
  • Endocrinology, Diabetes and Metabolism 179
  • Surgery 156
  • Molecular Biology 120
  • Cardiology and Cardiovascular Medicine 33
  • Genetics 30
Replace Zhiqiang Lu with:
Zhiqiang Lu China
Marko Simonen Finland
Masafumi Uno Japan
Zbyněk Schroner Slovakia
Hiroshi Ishiba Japan
Jutta Haas Germany
Laura Alba United States
Ulrike Nitzgen Germany
Elvira Angotti Italy
Jin Hee Kim South Korea
Miriam Kozárová relative to Zhiqiang Lu China Zhiqiang Lu's profile →
Citations per field
00.5×1.5×
Zhiqiang Lu · 1×
Citations per year

Countries citing papers authored by Miriam Kozárová

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Kozárová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Kozárová

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Kozárová. A scholar is included among the top collaborators of Miriam Kozárová 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 Miriam Kozárová. Miriam Kozárová 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
#WorkIndexed citations
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5 0
6 9
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8 12
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11 15
12
[Relationship of the CDKAL1 and KCNQ1 gene polymorphisms to the age at diagnosis of type 2 diabetes in the Slovakian population].
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13 66
14 52
15
[Kidney diseases in pregnancy].
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16 14
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20 8

About Miriam Kozárová

Miriam Kozárová is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Critical Care and Intensive Care Medicine, having authored 25 papers that have together received 274 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (5 papers), Diabetes Treatment and Management (4 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (179 citations), Surgery (156 citations) and Pharmacology (24 citations). Miriam Kozárová has collaborated with scholars based in Slovakia, Czechia and Italy. Frequent co-authors include Martin Javorský, Ivan Tkáč, Zbyněk Schroner, Lucia Klimčáková, Jozef Židzik, J Šalagovič, Ružena Tkáčová, Viera Habalová, Angela Molčányiová and Milan Kvapil. Their work appears in journals such as Atherosclerosis, Pharmacological Research and Diabetes Obesity and Metabolism.

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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