Polonca Ferk

33 papers receiving 602 citations

Peers

Polonca Ferk
Comparison fields: 5 of 111
  • Reproductive Medicine 159
  • Pharmacology 161
  • Toxicology 29
  • Endocrinology, Diabetes and Metabolism 106
  • Computational Theory and Mathematics 96
Replace Merve Baysal with:
Merve Baysal Türkiye
Gerrit Voortman Netherlands
Jean Peluso France
Mahmoud S. Ahmed United States
Francesca Aiello Italy
Afshan Siddiq Pakistan
May Abu‐Taha Jordan
Reza Ahmadi Iran
Hye In Kim South Korea
Laura Revel Italy
Polonca Ferk relative to Merve Baysal Türkiye Merve Baysal's profile →
Citations per field
00.5×2.9×
Merve Baysal · 1×
Citations per year

Countries citing papers authored by Polonca Ferk

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Polonca Ferk Line = papers co-authored together Polonca Ferk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018150
2 2018109
3 200657
4 201144
5 201633
6 202232
7 200830
8
Genetic polymorphisms of INS, INSR and IRS-1 genes are not associated with polycystic ovary syndrome in Croatian women.
201322
9 201321
10 200820
11 202213
12 201911
13 201710
14 20137
15 20117
16 20167
17 20156
18 20066
19 20216
20
The influence of nano-TiO2 on metabolic activity, cytotoxicity and ABCB5 mRNA expression in WM-266-4 human metastatic melanoma cell line.
20195

About Polonca Ferk

Polonca Ferk is a scholar working on Molecular Biology, Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Oncology and Genetics, having authored 35 papers that have together received 623 indexed citations. Recurring topics across this work include Ovarian function and disorders (10 papers), Blood Pressure and Hypertension Studies (3 papers), Sexual Differentiation and Disorders (3 papers), Estrogen and related hormone effects (3 papers), Hormonal and reproductive studies (3 papers), Reproductive Biology and Fertility (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Reproductive Medicine (159 citations), Pharmacology (161 citations), Toxicology (29 citations), Endocrinology, Diabetes and Metabolism (106 citations) and Computational Theory and Mathematics (96 citations). Polonca Ferk has collaborated with scholars based in Slovenia, Croatia and Switzerland. 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 Velimir Šimunić. Their work appears in journals such as Biomedical Reports, Fertility and Sterility, Climacteric, BMC Pharmacology and Toxicology and Journal of Pharmacy and Pharmacology.

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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