Marko Radulović

2.3k total citations · 1 hit paper
72 papers, 1.8k citations indexed

About

Marko Radulović is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Marko Radulović has authored 72 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Oncology. Recurrent topics in Marko Radulović's work include Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (15 papers) and Stress Responses and Cortisol (10 papers). Marko Radulović is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (15 papers) and Stress Responses and Cortisol (10 papers). Marko Radulović collaborates with scholars based in Serbia, United Kingdom and Germany. Marko Radulović's co-authors include Joachim Spiess, Jelena Radulović, Christina Schrick, Jasminka Godovac‐Zimmermann, Toshimitsu Kishimoto, Michael G. Rosenfeld, Farideh Hooshmand, Chijen R. Lin, Ola Hermanson and Ion Andronache and has published in prestigious journals such as Nature Genetics, The Journal of Immunology and PLoS ONE.

In The Last Decade

Marko Radulović

67 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dynamics of Forest Fragmentation and Connectivity Using Particle and Fractal Analysis

2019 383 citations Ion Andronache, Marian Marin et al. Scientific Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marko Radulović Serbia	20	597	337	298	238	206	72	1.8k
Peter J. Steenbergen Netherlands	23	508 0.9×	336 1.0×	339 1.1×	310 1.3×	97 0.5×	45	2.1k
Stanley E. Lazic United Kingdom	25	209 0.4×	681 2.0×	189 0.6×	542 2.3×	81 0.4×	64	2.4k
Garet P. Lahvis United States	25	272 0.5×	507 1.5×	720 2.4×	346 1.5×	61 0.3×	40	2.7k
Peter C. Hart United States	27	193 0.3×	1.1k 3.4×	414 1.4×	357 1.5×	67 0.3×	49	3.5k
Arne Möller Denmark	4	105 0.2×	577 1.7×	69 0.2×	649 2.7×	63 0.3×	5	2.4k
Shoshana Spring Canada	19	111 0.2×	495 1.5×	87 0.3×	237 1.0×	58 0.3×	33	1.5k
Matthew T. Wayland United Kingdom	26	186 0.3×	1.6k 4.8×	73 0.2×	537 2.3×	706 3.4×	51	4.0k
Xuqi Chen United States	31	152 0.3×	739 2.2×	185 0.6×	150 0.6×	32 0.2×	66	2.9k
Jeffrey S. Smith United States	30	164 0.3×	1.8k 5.2×	104 0.3×	909 3.8×	61 0.3×	74	3.3k
Dai Zhang China	31	81 0.1×	1.6k 4.9×	415 1.4×	419 1.8×	189 0.9×	194	4.0k

Countries citing papers authored by Marko Radulović

Since Specialization

Citations

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

Fields of papers citing papers by Marko Radulović

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Radulović

This figure shows the co-authorship network connecting the top 25 collaborators of Marko Radulović. A scholar is included among the top collaborators of Marko Radulović 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 Marko Radulović. Marko Radulović 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

Andronache, Ion, Ioannis Liritzis, Helmut Ahammer, et al.. (2025). Spatial Epidemiology of Pediatric Cancer in Romania: A Decade of Persistence, Continuity, and Localized Hotspots (Temporal Trend 2008–2017). Pediatric Reports. 17(6). 121–121.

Čavić, Milena, Ana Damjanović, Ana Krivokuća, et al.. (2024). Two Decades of Progress in Personalized Medicine of Colorectal Cancer in Serbia—Insights from the Institute for Oncology and Radiology of Serbia. Biomedicines. 12(10). 2278–2278. 1 indexed citations

Radulović, Marko, et al.. (2024). Bridging Histopathology and Radiomics Toward Prognosis of Metastasis in Early Breast Cancer. Microscopy and Microanalysis. 30(4). 751–758. 2 indexed citations

Stojanović-Rundić, Suzana, Radmila Janković, Jérôme Zoidakis, et al.. (2024). Performance and Dimensionality of Pretreatment MRI Radiomics in Rectal Carcinoma Chemoradiotherapy Prediction. Journal of Clinical Medicine. 13(2). 421–421. 3 indexed citations

Milovanović, Jelena, et al.. (2023). Vascular endothelial growth factor (VEGF) -A, -C and VE-cadherin as potential biomarkers in early breast cancer patients. Pathology - Research and Practice. 252. 154923–154923. 2 indexed citations

Ahammer, Helmut, et al.. (2023). ComsystanJ: A collection of Fiji/ImageJ2 plugins for nonlinear and complexity analysis in 1D, 2D and 3D. PLoS ONE. 18(10). e0292217–e0292217. 8 indexed citations

Peptenatu, Daniel, Ion Andronache, Helmut Ahammer, et al.. (2023). A new fractal index to classify forest fragmentation and disorder. Landscape Ecology. 38(6). 1373–1393. 8 indexed citations

Peptenatu, Daniel, Corina Silvia Pop, Florentina Furtunescu, et al.. (2023). The Spatial‐Temporal Dimension of Oncological Prevalence and Mortality in Romania. GeoHealth. 7(10). e2023GH000901–e2023GH000901. 1 indexed citations

Peptenatu, Daniel, Ion Andronache, Helmut Ahammer, et al.. (2022). Kolmogorov compression complexity may differentiate different schools of Orthodox iconography. Scientific Reports. 12(1). 10743–10743. 10 indexed citations

10.

Milošević, Nebojša T., et al.. (2021). Computational Analysis of Mris Predicts Osteosarcoma Chemoresponsiveness. Biomarkers in Medicine. 15(12). 929–940. 2 indexed citations

11.

Ciobotaru, Ana‐Maria, Ion Andronache, Helmut Ahammer, et al.. (2019). Application of Fractal and Gray-Level Co-Occurrence Matrix Indices to Assess the Forest Dynamics in the Curvature Carpathians—Romania. Sustainability. 11(24). 6927–6927. 10 indexed citations

12.

Andronache, Ion, Marian Marin, Rico Fischer, et al.. (2019). Dynamics of Forest Fragmentation and Connectivity Using Particle and Fractal Analysis. Scientific Reports. 9(1). 12228–12228. 383 indexed citations breakdown →

13.

Todorović‐Raković, Nataša, et al.. (2017). The prognostic time dependence of intra-tumoural IFNγ mRNA and protein in patients with breast cancer followed for 14 years after surgery and radiotherapy, without subsequent systemic therapy. European Cytokine Network. 28(4). 151–156. 4 indexed citations

14.

Radulović, Marko, et al.. (2017). Fractal and Gray Level Cooccurrence Matrix Computational Analysis of Primary Osteosarcoma Magnetic Resonance Images Predicts the Chemotherapy Response. Frontiers in Oncology. 7. 246–246. 22 indexed citations

15.

Tomasevic, Z., et al.. (2015). Early prognosis of metastasis risk in inflammatory breast cancer by texture analysis of tumour microscopic images. Biomedical Microdevices. 17(5). 92–92. 12 indexed citations

16.

Kanjer, Ksenija, et al.. (2015). Multifractal analysis of tumour microscopic images in the prediction of breast cancer chemotherapy response. Biomedical Microdevices. 17(5). 93–93. 7 indexed citations

17.

Todorovic, Cedomir, Jelena Radulović, Olaf Jahn, et al.. (2007). Differential activation of CRF receptor subtypes removes stress‐induced memory deficit and anxiety. European Journal of Neuroscience. 25(11). 3385–3397. 46 indexed citations

18.

Fischer, André, Marko Radulović, Christina Schrick, et al.. (2006). Hippocampal Mek/Erk signaling mediates extinction of contextual freezing behavior. Neurobiology of Learning and Memory. 87(1). 149–158. 92 indexed citations

19.

Kishimoto, Toshimitsu, Jelena Radulović, Marko Radulović, et al.. (2000). Deletion of Crhr2 reveals an anxiolytic role for corticotropin-releasing hormone receptor-2. Nature Genetics. 24(4). 415–419. 415 indexed citations

20.

Radulović, Marko, et al.. (1992). Immunochemical Characterisation of a Murine Monoclonal Anti-Idiotypic Antibody. Journal of Immunoassay. 13(2). 181–196. 11 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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