Lejla Alić

959 total citations
52 papers, 652 citations indexed

About

Lejla Alić is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Surgery. According to data from OpenAlex, Lejla Alić has authored 52 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Biomedical Engineering and 10 papers in Surgery. Recurrent topics in Lejla Alić's work include Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (10 papers) and Advanced MRI Techniques and Applications (6 papers). Lejla Alić is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (10 papers) and Advanced MRI Techniques and Applications (6 papers). Lejla Alić collaborates with scholars based in Netherlands, United States and Qatar. Lejla Alić's co-authors include Wiro J. Niessen, Jifke F. Veenland, Cornelis F. van Dijke, Jim Ji, B. ten Haken, Alexander M.M. Eggermont, Hasan Abbas, Muhammad Abdul‐Ghani, Khalid Qaraqe and Qammer H. Abbasi and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Physics in Medicine and Biology.

In The Last Decade

Lejla Alić

47 papers receiving 639 citations

Peers

Lejla Alić

RNMI

PRM

SURGE

Xuxin Chen United States

Jianye Han China

Wentao Kong China

Gabriel Gruionu United States

Jinfeng Xu China

Haroon Zafar Ireland

Chunhong Hu China

Lifang Pang China

Brian Hrycushko United States

Lucian Gheorghe Gruionu Romania

Xuxin Chen United States

Lejla Alić

400 ×1.2

RNMI

146 ×1.0

129 ×1.4

PRM

307 ×3.6

72 ×0.9

SURGE

Citations per year, relative to Lejla Alić Lejla Alić (= 1×) peers Xuxin Chen

Countries citing papers authored by Lejla Alić

Since Specialization

Citations

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

Fields of papers citing papers by Lejla Alić

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lejla Alić

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

Alić, Lejla, Floris H. P. van Velden, Salvatore Annunziata, et al.. (2025). Head-to-head comparison of fibroblast activation protein inhibitors (FAPI) radiopharmaceuticals and [18F]FDG in gynaecological malignancies: systematic literature review and meta-analysis. European Journal of Nuclear Medicine and Molecular Imaging. 52(11). 3975–3989.

Nienhuis, P. H., et al.. (2025). A Machine Learning Model Based on Radiomic Features as a Tool to Identify Active Giant Cell Arteritis on [18F]FDG-PET Images During Follow-Up. Diagnostics. 15(3). 367–367. 2 indexed citations

Vos, F J, Marjan Wouthuyzen‐Bakker, Ilse J.E. Kouijzer, et al.. (2025). Radiomics with Clinical Data and [18F]FDG-PET for Differentiating Between Infected and Non-Infected Intracavitary Vascular (Endo)Grafts: A Proof-of-Concept Study. Diagnostics. 15(15). 1944–1944.

Zhao, Feng, Renke Maas, Jurgen H. Runge, et al.. (2025). Liver Fat Quantification and Steatosis Grading in Fatty Liver Disease by Magnetic Resonance Imaging: Systematic Review and Meta‐Analysis. Journal of Gastroenterology and Hepatology. 40(12). 2808–2819. 1 indexed citations

Dassen, Anneriet E., et al.. (2024). Magnetic procedure for sentinel lymph node detection and evaluation of metastases: design and rationale of the Lowmag trial. University of Twente Research Information. 1(1). 3 indexed citations

Wiegers, Evita, Lejla Alić, Sabine Plasschaert, et al.. (2024). Amide proton transfer weighted imaging in pediatric neuro‐oncology: initial experience. NMR in Biomedicine. 37(6). e5122–e5122. 1 indexed citations

Karakatsanis, Andreas, Staffan Eriksson, Fredrik Wärnberg, et al.. (2024). Magnetic Sentinel Lymph Node Biopsy in Early Breast Cancer Patients: An Individual Patient Data Meta-analysis of Tracer Uptake. Annals of Surgical Oncology. 32(3). 2079–2091. 2 indexed citations

Roelink, Herman, B. ten Haken, Christina Hulsbergen‐van de Kaa, et al.. (2024). Sentinel Lymph Node Mapping in Prostate Cancer: Magnetic Route. JU Open Plus. 2(8).

Meeuwis, Antoi P.W., et al.. (2023). Performance of a Nonlinear Magnetic Handheld Probe for Intraoperative Sentinel Lymph Node Detection: A Phantom Study. Annals of Surgical Oncology. 30(13). 8735–8742. 1 indexed citations

10.

Nienhuis, P. H., et al.. (2023). Differentiating between giant cell arteritis and atherosclerosis on [¹⁸F]FDG-PET: an explainable machine learning approach. University of Twente Research Information. 0. 870–875.

11.

Dalen, Thijs van, Lisa M. Jongen, Lejla Alić, et al.. (2023). Radiofrequency localization of nonpalpable breast cancer in a multicentre prospective cohort study: feasibility, clinical acceptability, and safety. Breast Cancer Research and Treatment. 201(1). 67–75. 9 indexed citations

12.

Krooshoop, Hendrikus J.G., et al.. (2022). Excitation coil for sentinel lymph node harvesting: design, digital twin and prototype. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 4402–4406. 1 indexed citations

13.

Simonis, Frank F.J., Michael Douek, Muneer Ahmed, et al.. (2022). Breast MRI in patients after breast conserving surgery with sentinel node procedure using a superparamagnetic tracer. European Radiology Experimental. 6(1). 3–3. 13 indexed citations

14.

Wildeboer, Rogier R., et al.. (2021). Modelling of Dynamic Behaviour in Magnetic Nanoparticles. Nanomaterials. 11(12). 3396–3396. 11 indexed citations

15.

Rosiello, Giuseppe, Tessa Buckle, Danny M. van Willigen, et al.. (2021). Advancing intraoperative magnetic tracing using 3D freehand magnetic particle imaging. International Journal of Computer Assisted Radiology and Surgery. 17(1). 211–218. 21 indexed citations

16.

Baarlen, Joop van, et al.. (2021). A complete magnetic sentinel lymph node biopsy procedure in oral cancer patients: A pilot study. Oral Oncology. 121. 105464–105464. 9 indexed citations

17.

Alić, Lejla, et al.. (2020). MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation. Journal of Digital Imaging. 33(5). 1224–1241. 19 indexed citations

18.

Abbas, Hasan, Lejla Alić, Madhav Erraguntla, et al.. (2019). Predicting long-term type 2 diabetes with support vector machine using oral glucose tolerance test. PLoS ONE. 14(12). e0219636–e0219636. 45 indexed citations

19.

Alić, Lejla, et al.. (2011). Heterogeneity in DCE-MRI parametric maps: a biomarker for treatment response?. Physics in Medicine and Biology. 56(6). 1601–1616. 78 indexed citations

20.

Babuška, Robert, et al.. (2001). Estimation of respiratory parameters via fuzzy clustering. Artificial Intelligence in Medicine. 21(1-3). 91–105. 17 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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