Maja Primic‐Žakelj

34 papers and 1.1k indexed citations i.

About

Maja Primic‐Žakelj is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Maja Primic‐Žakelj has authored 34 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Maja Primic‐Žakelj’s work include Global Cancer Incidence and Screening (17 papers), Cancer Risks and Factors (11 papers) and Colorectal Cancer Screening and Detection (9 papers). Maja Primic‐Žakelj is often cited by papers focused on Global Cancer Incidence and Screening (17 papers), Cancer Risks and Factors (11 papers) and Colorectal Cancer Screening and Detection (9 papers). Maja Primic‐Žakelj collaborates with scholars based in Slovenia, The Netherlands and Italy. Maja Primic‐Žakelj's co-authors include Michel P. Coleman, Josep M. Borràs, Ariana Znaor, V.E.P.P. Lemmens, Peter Boyle, Liesbet Van Eycken, Julian Malicki, Vesna Zadnik, Cai Grau and Maciej Trojanowski and has published in prestigious journals such as Gut, British Journal of Cancer and International Journal of Cancer.

In The Last Decade

Co-authorship network of co-authors of Maja Primic‐Žakelj i

Fields of papers citing papers by Maja Primic‐Žakelj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maja Primic‐Žakelj

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025