Polonca Ferk
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
- Pharmacology top 5%
- Cannabis and Cannabinoid Research
Papers in
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- Ovarian function and disorders 10
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- Sexual Differentiation and Disorders 2
- Co-authors
- Ksenija Geršak (13 shared papers)Brane Leskošek (10 shared papers)Barbara Dariš (5 shared papers)Željko Knez (4 shared papers)Andrej Kastrin (1 shared paper)Dinka Pavičić Baldani (3 shared papers)Lana Škrgatić (3 shared papers)Maja Pohar Perme (1 shared paper)
In The Last Decade
Polonca Ferk
36 papers receiving 638 citations
Peers
Comparison fields: 5 of 108
- Reproductive Medicine 148
- Pharmacology 166
- Toxicology 30
- Computational Theory and Mathematics 100
- Endocrinology, Diabetes and Metabolism 82
Countries citing papers authored by Polonca Ferk
This map shows the geographic impact of Polonca Ferk'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 Polonca Ferk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Polonca Ferk more than expected).
Fields of papers citing papers by Polonca Ferk
This network shows the impact of papers produced by Polonca Ferk. 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 Polonca Ferk. The network helps show where Polonca Ferk may publish in the future.
Co-authors
The 25 scholars most cited alongside Polonca Ferk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 158 | |
| 2 | 2018 | 115 | |
| 3 | 2006 | 60 | |
| 4 | 2011 | 44 | |
| 5 | 2022 | 35 | |
| 6 | 2016 | 35 | |
| 7 | 2008 | 31 | |
| 8 | 2013 | 23 | |
| 9 | Genetic polymorphisms of INS, INSR and IRS-1 genes are not associated with polycystic ovary syndrome in Croatian women. | 2013 | 23 |
| 10 | 2008 | 21 | |
| 11 | 2022 | 14 | |
| 12 | 2019 | 12 | |
| 13 | 2017 | 10 | |
| 14 | 2016 | 8 | |
| 15 | 2011 | 7 | |
| 16 | 2013 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2006 | 6 | |
| 19 | The influence of nano-TiO2 on metabolic activity, cytotoxicity and ABCB5 mRNA expression in WM-266-4 human metastatic melanoma cell line. | 2019 | 6 |
| 20 | 2015 | 6 |
About Polonca Ferk
Polonca Ferk is a scholar working on Reproductive Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Pharmacology and Genetics, having authored 39 papers that have together received 659 indexed citations. Recurring topics across this work include Ovarian function and disorders (10 papers), Blood Pressure and Hypertension Studies (3 papers), Reproductive Biology and Fertility (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Hormonal and reproductive studies (2 papers), Menopause: Health Impacts and Treatments (2 papers), Cannabis and Cannabinoid Research (2 papers) and Sexual Differentiation and Disorders (2 papers). The work is most often cited by research in Reproductive Medicine (148 citations), Pharmacology (166 citations), Toxicology (30 citations), Computational Theory and Mathematics (100 citations) and Endocrinology, Diabetes and Metabolism (82 citations). Polonca Ferk has collaborated with scholars based in Slovenia, Croatia and Sweden. Frequent co-authors include Ksenija Geršak, Brane Leskošek, Barbara Dariš, Željko Knez, Andrej Kastrin, Dinka Pavičić Baldani, Lana Škrgatić, Maja Pohar Perme, Jan Schmidt and Mario Ćorić. Their work appears in journals such as Biomedical Reports, Fertility and Sterility, Climacteric, Cellular and Molecular Biology and Hormone and Metabolic Research.
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.