Maja Podkrajšek

430 total citations
11 papers, 336 citations indexed

About

Maja Podkrajšek is a scholar working on Cancer Research, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Maja Podkrajšek has authored 11 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cancer Research, 5 papers in Surgery and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Maja Podkrajšek's work include Breast Cancer Treatment Studies (8 papers), Breast Lesions and Carcinomas (5 papers) and Breast Implant and Reconstruction (4 papers). Maja Podkrajšek is often cited by papers focused on Breast Cancer Treatment Studies (8 papers), Breast Lesions and Carcinomas (5 papers) and Breast Implant and Reconstruction (4 papers). Maja Podkrajšek collaborates with scholars based in Slovenia and Poland. Maja Podkrajšek's co-authors include Maksimiljan Kadivec, Marko Hočevar, Janez Žgajnar, Nikola Bešič, Gregor Serša, Tomaž Jarm, Andrej Coer, Damijan Miklavčič, Tadej Kotnik and Maja Čemažar and has published in prestigious journals such as British Journal of Cancer, European Journal of Cancer and Breast Cancer Research and Treatment.

In The Last Decade

Maja Podkrajšek

10 papers receiving 326 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Maja Podkrajšek Slovenia 7 150 146 135 98 97 11 336
Maksimiljan Kadivec Slovenia 6 150 1.0× 79 0.5× 86 0.6× 115 1.2× 55 0.6× 9 334
Anna Lisa Tosi Italy 10 60 0.4× 41 0.3× 58 0.4× 64 0.7× 39 0.4× 21 276
Edith Lorenz Austria 7 18 0.1× 184 1.3× 106 0.8× 92 0.9× 54 0.6× 13 371
Connor H. Church United States 2 28 0.2× 84 0.6× 41 0.3× 34 0.3× 72 0.7× 2 357
Wytske Boersma‐van Ek Netherlands 10 31 0.2× 67 0.5× 71 0.5× 29 0.3× 63 0.6× 12 338
Mohammed Alnaggar China 9 67 0.4× 46 0.3× 13 0.1× 48 0.5× 57 0.6× 16 444
Gianluca Di Monta Italy 11 156 1.0× 14 0.1× 13 0.1× 70 0.7× 84 0.9× 28 422
Eran van Veldhuisen Netherlands 11 275 1.8× 53 0.4× 7 0.1× 160 1.6× 51 0.5× 21 496
Mohamed Aziz United States 9 20 0.1× 39 0.3× 28 0.2× 36 0.4× 51 0.5× 15 356
Jianmin Ding China 11 12 0.1× 42 0.3× 23 0.2× 83 0.8× 99 1.0× 36 464

Countries citing papers authored by Maja Podkrajšek

Since Specialization
Citations

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

Fields of papers citing papers by Maja Podkrajšek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Podkrajšek

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

All Works

11 of 11 papers shown
1.
2.
Podkrajšek, Maja, et al.. (2017). Dynamic MR imaging of pelvic floor dysfunction. Applied Radiology. 21–27. 3 indexed citations
3.
Podkrajšek, Maja & Marko Hočevar. (2011). The role of contrast enchanced axillary ultrasonography in early breast cancer patients.. PubMed. 35(1). 33–7. 6 indexed citations
4.
Serša, Gregor, Tomaž Jarm, Tadej Kotnik, et al.. (2008). Vascular disrupting action of electroporation and electrochemotherapy with bleomycin in murine sarcoma. British Journal of Cancer. 98(2). 388–398. 172 indexed citations
5.
Podkrajšek, Maja, Janez Žgajnar, & Marko Hočevar. (2008). What is the most common mammographic appearance of T1a and T1b invasive breast cancer?. Radiology and Oncology. 42(4). 6 indexed citations
6.
Žgajnar, Janez, Andraž Perhavec, Marko Hočevar, et al.. (2007). Low performance of the MSKCC nomogram in preoperatively ultrasonically negative axillary lymph node in breast cancer patients. Journal of Surgical Oncology. 96(7). 547–553. 35 indexed citations
7.
Podkrajšek, Maja. (2007). Role of ultrasound in the preoperative staging of patients with breast cancer. Senologie - Zeitschrift für Mammadiagnostik und -therapie. 4(3).
8.
Podkrajšek, Maja, Maja Marolt Mušič, Maksimiljan Kadivec, et al.. (2005). Role of ultrasound in the preoperative staging of patients with breast cancer. European Radiology. 15(5). 1044–1050. 78 indexed citations
9.
Žgajnar, Janez, Marko Hočevar, Maja Podkrajšek, et al.. (2005). Patients with preoperatively ultrasonically uninvolved axillary lymph nodes: a distinct subgroup of early breast cancer patients. Breast Cancer Research and Treatment. 97(3). 293–299. 20 indexed citations
10.
11.
Podkrajšek, Maja, et al.. (2003). 381 Axillary ultrasound (US) and US-guided fine needle aspiration biopsy in the assessment of lymph-node metastases in breast cancer patients. European Journal of Cancer Supplements. 1(5). S117–S117. 1 indexed citations

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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