Mateja Krajc

92 total papers · 780 total citations
46 papers, 301 citations indexed

About

Mateja Krajc is a scholar working on Genetics, Oncology and Molecular Biology. According to data from OpenAlex, Mateja Krajc has authored 46 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 15 papers in Oncology and 13 papers in Molecular Biology. Recurrent topics in Mateja Krajc's work include BRCA gene mutations in cancer (25 papers), Global Cancer Incidence and Screening (8 papers) and Genetic factors in colorectal cancer (7 papers). Mateja Krajc is often cited by papers focused on BRCA gene mutations in cancer (25 papers), Global Cancer Incidence and Screening (8 papers) and Genetic factors in colorectal cancer (7 papers). Mateja Krajc collaborates with scholars based in Slovenia, Belgium and United States. Mateja Krajc's co-authors include Srdjan Novaković, Vida Stegel, Janez Žgajnar, Marko Hočevar, Jacques De Grève, Erik Teugels, Ana Blatnik, Nikola Bešič, Vesna Zadnik and Barbara Gazić and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mateja Krajc

37 papers receiving 296 citations

Author Peers

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

Author Last Decade Papers Cites
Mateja Krajc 202 123 70 66 58 46 301
Elisabetta De Matteis 142 0.7× 102 0.8× 137 2.0× 45 0.7× 114 2.0× 33 334
Vida Stegel 135 0.7× 143 1.2× 75 1.1× 56 0.8× 87 1.5× 36 332
Abdelilah Laraqui 112 0.6× 124 1.0× 60 0.9× 38 0.6× 65 1.1× 43 352
Sourat Darabi 65 0.3× 92 0.7× 81 1.2× 32 0.5× 69 1.2× 46 238
Fang Xu 146 0.7× 122 1.0× 27 0.4× 29 0.4× 36 0.6× 40 350
H Serment 121 0.6× 47 0.4× 107 1.5× 67 1.0× 99 1.7× 29 355
Jarosław Dębniak 176 0.9× 133 1.1× 78 1.1× 39 0.6× 55 0.9× 25 284
Maria De Bonis 93 0.5× 113 0.9× 56 0.8× 64 1.0× 41 0.7× 32 314
Sarah V. Colonna 79 0.4× 78 0.6× 176 2.5× 23 0.3× 49 0.8× 28 311
Janet R. Vos 94 0.5× 82 0.7× 75 1.1× 54 0.8× 54 0.9× 28 215

Countries citing papers authored by Mateja Krajc

Since Specialization
Citations

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

Fields of papers citing papers by Mateja Krajc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateja Krajc

This figure shows the co-authorship network connecting the top 25 collaborators of Mateja Krajc. A scholar is included among the top collaborators of Mateja Krajc 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 Mateja Krajc. Mateja Krajc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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