Barbara Mlinar
Impact in
- Reproductive Medicine top 10%
- Ovarian function and disorders
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- Diet, Metabolism, and Disease
Papers in
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- Metabolism and Genetic Disorders 4
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- Lipid metabolism and biosynthesis 3
- Co-authors
- Janja MarcMarija PfeiferAndrej JanežMojca JensterleTanja DujićBarbara OstanekAdlija ČauševićTamer Bego
- Journals
- Biochemia Medica (3 papers)European Journal of Endocrinology (2 papers)Clinical Chemistry and Laboratory Medicine (CCLM) (2 papers)Fertility and Sterility (2 papers)Journal of Inherited Metabolic Disease (1 paper)
- Partner nations
- SloveniaBosnia and HerzegovinaUnited States
In The Last Decade
Barbara Mlinar
19 papers receiving 477 citations
Peers
Comparison fields: 5 of 83
- Reproductive Medicine 68
- Endocrinology, Diabetes and Metabolism 114
- Physiology 134
- Endocrine and Autonomic Systems 30
- Biochemistry 32
Countries citing papers authored by Barbara Mlinar
This map shows the geographic impact of Barbara Mlinar'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 Barbara Mlinar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Mlinar more than expected).
Fields of papers citing papers by Barbara Mlinar
This network shows the impact of papers produced by Barbara Mlinar. 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 Barbara Mlinar. The network helps show where Barbara Mlinar may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Barbara Mlinar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 1 | |
| 2 | 2014 | 7 | |
| 3 | 2012 | 15 | |
| 4 | Analysis of CYP3A4*1B and CYP3A5*3 polymorphisms in population of Bosnia and Herzegovina. | 2011 | 13 |
| 5 | 2011 | 7 | |
| 6 | 2011 | 73 | |
| 7 | 2011 | 11 | |
| 8 | Association of PPARG and LPIN1 gene polymorphisms with metabolic syndrome and type 2 diabetes. | 2011 | 21 |
| 9 | 2010 | 3 | |
| 10 | 2010 | 15 | |
| 11 | 2008 | 36 | |
| 12 | 2008 | 20 | |
| 13 | 2008 | 6 | |
| 14 | 2006 | 222 | |
| 15 | 2006 | 5 | |
| 16 | 2005 | 11 | |
| 17 | 2005 | 3 | |
| 18 | 2003 | 20 | |
| 19 | 2002 | 8 |
About Barbara Mlinar
Barbara Mlinar is a scholar working on Clinical Biochemistry, Biochemistry, Reproductive Medicine, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 497 indexed citations. Recurring topics across this work include Ovarian function and disorders (4 papers), Metabolism and Genetic Disorders (4 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Lipid metabolism and disorders (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Lipid metabolism and biosynthesis (3 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Reproductive Medicine (68 citations), Endocrinology, Diabetes and Metabolism (114 citations), Physiology (134 citations), Endocrine and Autonomic Systems (30 citations) and Biochemistry (32 citations). Barbara Mlinar has collaborated with scholars based in Slovenia, Bosnia and Herzegovina and United States. Frequent co-authors include Janja Marc, Marija Pfeifer, Andrej Janež, Mojca Jensterle, Tanja Dujić, Barbara Ostanek, Adlija Čaušević, Tamer Bego, Maja Malenica and Besim Prnjavorac. Their work appears in journals such as Biochemia Medica, European Journal of Endocrinology, Clinical Chemistry and Laboratory Medicine (CCLM), Fertility and Sterility and Journal of Inherited Metabolic Disease.
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.