Maja Pakiž

31 papers and 229 indexed citations i.

About

Maja Pakiž is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Epidemiology. According to data from OpenAlex, Maja Pakiž has authored 31 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Obstetrics and Gynecology, 12 papers in Reproductive Medicine and 9 papers in Epidemiology. Recurrent topics in Maja Pakiž’s work include Uterine Myomas and Treatments (12 papers), Endometriosis Research and Treatment (10 papers) and Endometrial and Cervical Cancer Treatments (10 papers). Maja Pakiž is often cited by papers focused on Uterine Myomas and Treatments (12 papers), Endometriosis Research and Treatment (10 papers) and Endometrial and Cervical Cancer Treatments (10 papers). Maja Pakiž collaborates with scholars based in Slovenia, United Kingdom and France. Maja Pakiž's co-authors include Igor But, Uroš Potočnik, François Planchamp, Andraž Dovnik, Nina Vene, Attilio Di Spiezio Sardo, Iztok Takač, Alexandros Rodolakis, Maribel Acién and Nathalie Vermeulen and has published in prestigious journals such as Fertility and Sterility, Obstetrics and Gynecology and Radiotherapy and Oncology.

In The Last Decade

Co-authorship network of co-authors of Maja Pakiž i

Fields of papers citing papers by Maja Pakiž

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maja Pakiž

Since Specialization
Citations

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

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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