Maja Primic‐Žakelj

113 total papers · 12.3k total citations
37 papers, 1.2k citations indexed

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 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 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 (18 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 (18 papers), Cancer Risks and Factors (11 papers) and Colorectal Cancer Screening and Detection (9 papers). Maja Primic‐Žakelj collaborates with scholars based in Slovenia, Netherlands and Italy. Maja Primic‐Žakelj's co-authors include Michel P. Coleman, Josep M. Borràs, Peter Boyle, Ariana Znaor, Liesbet Van Eycken, V.E.P.P. Lemmens, Julieta Corral, Peter Dunscombe, Chiara Gasparotto and Rob H.A. Verhoeven and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gut and British Journal of Cancer.

In The Last Decade

Maja Primic‐Žakelj

36 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maja Primic‐Žakelj 641 242 205 172 150 37 1.2k
Andrew Hindley 351 0.5× 278 1.1× 157 0.8× 68 0.4× 177 1.2× 39 1.1k
Jon B. Reitan 205 0.3× 383 1.6× 407 2.0× 71 0.4× 183 1.2× 47 1.1k
William Blackstock 393 0.6× 225 0.9× 231 1.1× 71 0.4× 189 1.3× 24 1.1k
D K Kelleher 135 0.2× 251 1.0× 161 0.8× 208 1.2× 144 1.0× 41 1.1k
Vicky Thursfield 616 1.0× 318 1.3× 78 0.4× 257 1.5× 300 2.0× 48 1.3k
James A. Lipsett 602 0.9× 233 1.0× 111 0.5× 85 0.5× 433 2.9× 29 1.3k
Paul Sebastian 301 0.5× 174 0.7× 145 0.7× 201 1.2× 439 2.9× 59 1.4k
Katarzyna Jóźwiak 350 0.5× 178 0.7× 124 0.6× 91 0.5× 367 2.4× 82 1.1k
Lai‐Lei Ting 544 0.8× 425 1.8× 162 0.8× 73 0.4× 447 3.0× 59 1.3k
Rony Benson 276 0.4× 302 1.2× 194 0.9× 159 0.9× 173 1.2× 53 1.0k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Primic‐Žakelj. A scholar is included among the top collaborators of Maja Primic‐Žakelj based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maja Primic‐Žakelj. Maja Primic‐Žakelj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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
2026