Katja Vouk

854 citations
19 papers · 571 · h-index 12

Impact in

Papers in

    • Endometriosis Research and Treatment 8
    • Estrogen and related hormone effects 3
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
    • Genetic and Kidney Cyst Diseases 2

Katja Vouk

19 papers receiving 563 citations

Peers

Katja Vouk
Comparison fields: 5 of 73
  • Reproductive Medicine 290
  • Obstetrics and Gynecology 167
  • Immunology 111
  • Genetics 77
  • Cancer Research 32
Replace Zongjuan Fang with:
Zongjuan Fang United States
Jasna Šinkovec Slovenia
Martina Ribič-Pucelj Slovenia
Wiesława Bednarek Poland
Yoshiteru Terashima Japan
David Maldonado‐Pérez United Kingdom
F. M. Wittmaack United States
Sarah J. Holdsworth‐Carson Australia
Kathryn A. Maurer United States
Michael Van Waes United States
Katja Vouk relative to Zongjuan Fang United States Zongjuan Fang's profile →
Citations per field
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Zongjuan Fang · 1×
Citations per year

Countries citing papers authored by Katja Vouk

Since Specialization
Citations

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

Fields of papers citing papers by Katja Vouk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Katja Vouk, 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 Katja Vouk Line = papers co-authored together Katja Vouk links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2012118
2 201665
3 201547
4 201144
5 201843
6 201138
7 201735
8 201334
9 201732
10 201629
11 200028
12 200518
13 200610
14 20188
15 19995
16 20005
17 20005
18 20004
19 20133

About Katja Vouk

Katja Vouk is a scholar working on Reproductive Medicine, Genetics, Obstetrics and Gynecology, Immunology and Molecular Biology, having authored 19 papers that have together received 571 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (8 papers), Reproductive System and Pregnancy (4 papers), Estrogen and related hormone effects (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Uterine Myomas and Treatments (2 papers) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Reproductive Medicine (290 citations), Obstetrics and Gynecology (167 citations), Immunology (111 citations), Genetics (77 citations) and Cancer Research (32 citations). Katja Vouk has collaborated with scholars based in Slovenia, Germany and United Kingdom. Frequent co-authors include Tea Lanišnik Rižner, Martina Ribič-Pucelj, Jerzy Adamski, Neli Hevir, Cornelia Prehn, Nick A. Bersinger, Michael D. Mueller, Vida Kocbek, Špela Smrkolj and Jasna Šinkovec. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Frontiers in Pharmacology, BioTechniques, Pflügers Archiv - European Journal of Physiology and Molecular Human Reproduction.

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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