Maja Sabol

509 total citations
36 papers, 372 citations indexed

About

Maja Sabol is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Maja Sabol has authored 36 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Oncology and 4 papers in Genetics. Recurrent topics in Maja Sabol's work include Hedgehog Signaling Pathway Studies (19 papers), Cancer-related Molecular Pathways (9 papers) and Epigenetics and DNA Methylation (6 papers). Maja Sabol is often cited by papers focused on Hedgehog Signaling Pathway Studies (19 papers), Cancer-related Molecular Pathways (9 papers) and Epigenetics and DNA Methylation (6 papers). Maja Sabol collaborates with scholars based in Croatia, Italy and United States. Maja Sabol's co-authors include Petar Ozretić, Vesna Musani, Sonja Levanat, Slavko Orešković, Snježana Ramić, Držislav Kalafatić, Mario Cindrić, Maja Herak Bosnar, Neda Slade and Ljubica Glavaš‐Obrovac and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Maja Sabol

32 papers receiving 369 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 Sabol Croatia 12 315 96 66 52 33 36 372
Susana Bizarro Portugal 12 165 0.5× 63 0.7× 58 0.9× 66 1.3× 47 1.4× 29 335
Andrea Treszl Hungary 12 164 0.5× 179 1.9× 41 0.6× 81 1.6× 14 0.4× 16 353
Frederik Van Dyck Belgium 8 211 0.7× 81 0.8× 128 1.9× 88 1.7× 61 1.8× 8 402
Bingjian Lv China 7 93 0.3× 105 1.1× 30 0.5× 101 1.9× 32 1.0× 13 281
E. Swisher United States 4 177 0.6× 123 1.3× 92 1.4× 39 0.8× 98 3.0× 9 384
Hisataka Kitano Japan 10 149 0.5× 60 0.6× 50 0.8× 56 1.1× 15 0.5× 37 274
Agnès Chompret France 5 252 0.8× 219 2.3× 171 2.6× 120 2.3× 68 2.1× 5 441
Annelies Gonnissen Belgium 7 288 0.9× 123 1.3× 36 0.5× 38 0.7× 17 0.5× 7 335
Simona Agata Italy 9 224 0.7× 142 1.5× 167 2.5× 79 1.5× 33 1.0× 12 378
Wolfgang Gruber Austria 9 272 0.9× 80 0.8× 49 0.7× 39 0.8× 29 0.9× 12 338

Countries citing papers authored by Maja Sabol

Since Specialization
Citations

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

Fields of papers citing papers by Maja Sabol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Sabol

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

All Works

20 of 20 papers shown
1.
Sabol, Maja, et al.. (2025). Mature cystic teratoma and their malignant transformation. European Journal of Surgical Oncology. 51(4). 109641–109641.
2.
Sabol, Maja, et al.. (2024). A Pilot Immunohistochemical Study Identifies Hedgehog Pathway Expression in Sinonasal Adenocarcinoma. International Journal of Molecular Sciences. 25(9). 4630–4630.
3.
Ozretić, Petar, et al.. (2024). Current status of in vitro models for rare gynaecological cancer research. European Journal of Surgical Oncology. 51(4). 108549–108549.
4.
Ozretić, Petar, et al.. (2023). BIRC5 Gene Polymorphisms Are Associated with a Higher Stage of Local and Regional Disease in Oral and Oropharyngeal Squamous Cell Carcinomas. International Journal of Molecular Sciences. 24(24). 17490–17490. 3 indexed citations
5.
Gašparović, Ana Čipak, et al.. (2023). Deciphering Common Traits of Breast and Ovarian Cancer Stem Cells and Possible Therapeutic Approaches. International Journal of Molecular Sciences. 24(13). 10683–10683. 3 indexed citations
6.
Sabol, Maja, et al.. (2023). ‘Toxic Masculinity’: What Is Known about the Role of Androgen Receptors in Head and Neck Squamous Cell Carcinoma. International Journal of Molecular Sciences. 24(4). 3766–3766. 6 indexed citations
7.
Sabol, Maja, et al.. (2023). Why 3D in vitro cancer models are the future of cancer research?. Periodicum Biologorum. 124(3-4). 69–83. 1 indexed citations
8.
Bartoniček, Nenad, Danai S. Gkotsi, Vesna Musani, et al.. (2023). Signaling Switching from Hedgehog-GLI to MAPK Signaling Potentially Serves as a Compensatory Mechanism in Melanoma Cell Lines Resistant to GANT-61. Biomedicines. 11(5). 1353–1353. 3 indexed citations
9.
Vlašić, Ignacija, et al.. (2022). Characterization of Vemurafenib-Resistant Melanoma Cell Lines Reveals Novel Hallmarks of Targeted Therapy Resistance. International Journal of Molecular Sciences. 23(17). 9910–9910. 14 indexed citations
10.
Fiore, Riccardo Di, Ana Félix, Sharon O’Toole, et al.. (2021). An Overview of the Role of Long Non-Coding RNAs in Human Choriocarcinoma. International Journal of Molecular Sciences. 22(12). 6506–6506. 9 indexed citations
11.
Sabol, Maja, et al.. (2021). SHH-N non-canonically sustains androgen receptor activity in androgen-independent prostate cancer cells. Scientific Reports. 11(1). 14880–14880. 6 indexed citations
12.
Ozretić, Petar, Maja Sabol, Vesna Musani, et al.. (2019). Expression profiles of p53/p73, NME and GLI families in metastatic melanoma tissue and cell lines. Scientific Reports. 9(1). 12470–12470. 18 indexed citations
13.
Sabol, Maja, et al.. (2018). Role of surgical treatment in breast cancer liver metastases. HPB. 20. S338–S338. 1 indexed citations
14.
Musani, Vesna, et al.. (2018). Potential hot spot for de novo mutations in PTCH1 gene in Gorlin syndrome patients: a case report of twins from Croatia. Croatian Medical Journal. 59(1). 20–24. 3 indexed citations
15.
Ozretić, Petar, Vesna Musani, Držislav Kalafatić, et al.. (2017). Non-canonical Hedgehog signaling activation in ovarian borderline tumors and ovarian carcinomas. International Journal of Oncology. 51(6). 1869–1877. 20 indexed citations
16.
Sabol, Maja, et al.. (2015). GSK3β and Gli3 play a role in activation of Hedgehog-Gli pathway in human colon cancer — Targeting GSK3β downregulates the signaling pathway and reduces cell proliferation. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1852(12). 2574–2584. 44 indexed citations
17.
18.
Musani, Vesna, Maja Sabol, Petar Ozretić, et al.. (2013). PTCH1 gene polymorphisms in ovarian tumors: Potential protective role of c.3944T allele. Gene. 517(1). 55–59. 8 indexed citations
19.
Sabol, Maja, Vesna Musani, Petar Ozretić, et al.. (2012). A Low-grade Ovarian Carcinoma Case With Coincident LOH of PTCH1 and BRCA1, and a Mutation in BRCA1. International Journal of Gynecological Pathology. 31(3). 264–271. 4 indexed citations
20.
Sabol, Maja, et al.. (2010). Epigenetic regulation of the Hedgehog-Gli signaling pathway in cancer. Institutional Repository of the Ruđer Bošković Institute (Ruđer Bošković Institute). 5 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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