Marina Popović

585 total citations
25 papers, 209 citations indexed

About

Marina Popović is a scholar working on Oncology, Surgery and Epidemiology. According to data from OpenAlex, Marina Popović has authored 25 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Marina Popović's work include Ovarian cancer diagnosis and treatment (6 papers), Cervical Cancer and HPV Research (5 papers) and Endometrial and Cervical Cancer Treatments (3 papers). Marina Popović is often cited by papers focused on Ovarian cancer diagnosis and treatment (6 papers), Cervical Cancer and HPV Research (5 papers) and Endometrial and Cervical Cancer Treatments (3 papers). Marina Popović collaborates with scholars based in Serbia, Croatia and Netherlands. Marina Popović's co-authors include Robert Breitkopf, Dragana Jadžić, Benedikt Treml, Helmuth Tauber, Saša Rajšić, Zoran Bukumirić, Tajana Silovski, Zoran Radovanović, Milan Stanković and Aljoša Mandić and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Marina Popović

22 papers receiving 206 citations

Peers

Marina Popović

SURGE

CCM

EPIDE

Alfredo D’Andrea Italy

P Lind Denmark

Virinder Kumar Bansal India

Nam Hun Heo South Korea

Eugene Ong Singapore

María Rita Rodríguez‐Luna France

Joseph B Lerman United States

Natasha Hasemaki Greece

Gaurav S. Desai United States

Michael Yong Park South Korea

Alfredo D’Andrea Italy

Marina Popović

33 ×0.4

108 ×1.6

SURGE

14 ×0.3

85 ×2.0

CCM

18 ×0.5

EPIDE

Citations per year, relative to Marina Popović Marina Popović (= 1×) peers Alfredo D’Andrea

Countries citing papers authored by Marina Popović

Since Specialization

Citations

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

Fields of papers citing papers by Marina Popović

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marina Popović

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

All Works

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20 of 20 papers shown

Popović, Marina, et al.. (2025). The Application of the NGS and MLPA Methods in the Molecular Diagnostics of Lynch Syndrome. Diagnostics. 15(23). 2950–2950.

Popović, Marina, et al.. (2024). Real-world comparison of the efficacy of three CDK4/6 inhibitors (CDK4/6i) in the first-line treatment of endocrine-sensitive advanced breast cancer (aBC): Single institution experience.. Journal of Clinical Oncology. 42(16_suppl). e13080–e13080. 1 indexed citations

Popović, Marina, Dragana Šobić-Šaranović, Nataša Avramović, et al.. (2023). Prediction of Cervical Lymph Node Metastasis in Clinically Node-Negative T1 and T2 Papillary Thyroid Carcinoma Using Supervised Machine Learning Approach. Journal of Clinical Medicine. 12(11). 3641–3641. 5 indexed citations

Popović, Marina, et al.. (2023). Interleukin 17 in early invasive breast cancer. Frontiers in Oncology. 13. 1171254–1171254. 8 indexed citations

Popović, Marina, et al.. (2023). HER2 Low Breast Cancer: A New Subtype or a Trojan for Cytotoxic Drug Delivery?. International Journal of Molecular Sciences. 24(9). 8206–8206. 13 indexed citations

Bojanac, Ana Katušić, et al.. (2023). 301P Epigenetic modifications of IL-17 gene in patients with early breast cancer and healthy controls. Annals of Oncology. 34. S304–S304.

Jeannot, Emmanuelle, Aurélien Latouche, Claire Bonneau, et al.. (2022). 2022-RA-205-ESGO Circulating HPV DNA in cervical cancer: a marker for early detection of relapse. International Journal of Gynecological Cancer. 32. A404–A404. 1 indexed citations

Rajšić, Saša, Robert Breitkopf, Dragana Jadžić, et al.. (2022). Anticoagulation Strategies during Extracorporeal Membrane Oxygenation: A Narrative Review. Journal of Clinical Medicine. 11(17). 5147–5147. 51 indexed citations

Popović, Marina, Suzana Stojanović-Rundić, Miloš Nikolić, et al.. (2022). Comparison of Different Machine Learning Models in Prediction of Postirradiation Recurrence in Prostate Carcinoma Patients. BioMed Research International. 2022(1). 7943609–7943609. 2 indexed citations

10.

Šobić-Šaranović, Dragana, et al.. (2022). FDG PET-CT as an important diagnostic tool and prognostic marker in suspected recurrent cervical carcinoma after radiotherapy: comparison with MRI. Radiology and Oncology. 56(4). 453–460. 2 indexed citations

11.

Popović, Marina, et al.. (2022). The role of interleukin‑7 serum level as biological marker in breast cancer: a cross‑sectional, observational, and analytical study. World Journal of Surgical Oncology. 20(1). 225–225. 4 indexed citations

12.

Treml, Benedikt, et al.. (2022). Extracorporeal membrane oxygenation for cardiogenic shock: a meta-analysis of mortality and complications. Annals of Intensive Care. 12(1). 93–93. 56 indexed citations

13.

Mandić, Aljoša, et al.. (2020). Neoadjuvant chemotherapy followed by interval debulking surgery versus primary debulking surgery in the advanced epithelial ovarian cancer- a retrospective cohort study. SHILAP Revista de lepidopterología. 78(11). 1193–1199. 1 indexed citations

14.

Scholl, Suzy, Leanne de Koning, Marina Popović, et al.. (2018). Molecular profiles as a function of treatment response/progression free survival in a prospective cervical cancer study (RAIDs). Annals of Oncology. 29. viii343–viii343. 1 indexed citations

15.

Samuels, Sanne, Balázs Bálint, Heiko von der Leyen, et al.. (2016). Precision medicine in cancer: challenges and recommendations from an EU-funded cervical cancer biobanking study. British Journal of Cancer. 115(12). 1575–1583. 6 indexed citations

16.

Ngô, Charlotte, Sanne Samuels, Philippe Hupé, et al.. (2015). From prospective biobanking to precision medicine: BIO-RAIDs – an EU study protocol in cervical cancer. BMC Cancer. 15(1). 842–842. 11 indexed citations

17.

Mandić, Aljoša, et al.. (2013). COMPARSION THE HISTOPATHOLOGICAL FINDINGS AFTER CERVICAL BIOPSY AND EXCISIONAL PROCEDURES. Acta Medica (Hradec Kralove Czech Republic). 56(1). 19–22. 5 indexed citations

18.

Popović, Marina, I. Tasić, Aleksandar Dimić, et al.. (2011). Correlation between total cardiovascular risk and bone density in postmenopausal women. SHILAP Revista de lepidopterología. 6(6). 795–803. 4 indexed citations

19.

Mandić, Aljoša, et al.. (2009). Radical hysterectomy for stage IB1 cervical carcinoma: lymph node metastasis as a prognostic factor.. PubMed. 7(3). 247–50. 7 indexed citations

20.

Mandić, Aljoša, et al.. (2005). Metastatic spread of mucinous cystadenocarcinoma of the ovaries into abdominal wall. Archive of oncology. 13(2). 86–88.

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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