Maja Primic‐Žakelj
- Oncology top 5%
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Epidemiology
- Surgery
- Co-authors
- Michel P. ColemanJosep M. BorràsAriana ZnaorV.E.P.P. LemmensLiesbet Van EyckenPeter BoyleCai GrauRob H.A. Verhoeven
- Topics
- Global Cancer Incidence and Screening (18 papers)Cancer Risks and Factors (11 papers)Colorectal Cancer Screening and Detection (9 papers)
- Cited by
- OncologyBiophysicsRadiation
- Journals
- SHILAP Revista de lepidopterologíaGutBritish Journal of Cancer
- Partner nations
- SloveniaNetherlandsItaly
In The Last Decade
Maja Primic‐Žakelj
36 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Oncology 642
- Pulmonary and Respiratory Medicine 243
- Radiology, Nuclear Medicine and Imaging 205
- Epidemiology 172
- Surgery 150
Countries citing papers authored by Maja Primic‐Žakelj
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | 14 | |
| 3 | Nekaj podatkov iz Poročila o rezultatih državnega programa ZORA v letih 2006 in 2007 | 0 |
| 4 | 95 | |
| 5 | 112 | |
| 6 | 20 | |
| 7 | 129 | |
| 8 | 78 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 49 | |
| 12 | Rak v Sloveniji | 2 |
| 13 | Performance of opportunistic breast cancer screening in Slovenia. | 5 |
| 14 | 6 | |
| 15 | 68 | |
| 16 | 7 | |
| 17 | 28 | |
| 18 | 1 | |
| 19 | 22 | |
| 20 | 117 |
About Maja Primic‐Žakelj
Maja Primic‐Žakelj is a scholar working on Oncology, Reproductive Medicine and Radiation, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (18 papers), Cancer Risks and Factors (11 papers) and Colorectal Cancer Screening and Detection (9 papers). The work is most often cited by research in Oncology (642 citations), Biophysics (107 citations) and Radiation (138 citations). Maja Primic‐Žakelj has collaborated with scholars based in Slovenia, Netherlands and Italy. Frequent co-authors include Michel P. Coleman, Josep M. Borràs, Ariana Znaor, V.E.P.P. Lemmens, Liesbet Van Eycken, Peter Boyle, Cai Grau, Rob H.A. Verhoeven, Noémie Defourny and Mary Coffey. Their work appears in journals such as SHILAP Revista de lepidopterología, Gut and British Journal of Cancer.
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.