Jasmina Boban

519 total citations
43 papers, 310 citations indexed

About

Jasmina Boban is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Jasmina Boban has authored 43 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Epidemiology and 7 papers in Pathology and Forensic Medicine. Recurrent topics in Jasmina Boban's work include HIV-related health complications and treatments (7 papers), HIV Research and Treatment (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Jasmina Boban is often cited by papers focused on HIV-related health complications and treatments (7 papers), HIV Research and Treatment (7 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Jasmina Boban collaborates with scholars based in Serbia, Austria and United States. Jasmina Boban's co-authors include Majda M. Thurnher, Duško Kozić, Snežana Brkić, Dajana Lendak, Aleksandar Todorović, Armin Rieger, Ellen Gelpí, Vesna Turkulov, Jelena Ostojić and Aleksandar Knežević and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Jasmina Boban

38 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jasmina Boban Serbia 13 70 55 54 53 45 43 310
Nina Ventura Brazil 13 119 1.7× 87 1.6× 38 0.7× 77 1.5× 65 1.4× 50 499
Vincenzina Lo Re Italy 10 51 0.7× 33 0.6× 47 0.9× 37 0.7× 42 0.9× 25 331
Joga Chaganti Australia 12 85 1.2× 140 2.5× 66 1.2× 54 1.0× 85 1.9× 43 417
Deanna Cettomai United States 9 56 0.8× 48 0.9× 34 0.6× 13 0.2× 51 1.1× 9 331
Netsiri Dumrongpisutikul Thailand 10 56 0.8× 62 1.1× 42 0.8× 93 1.8× 34 0.8× 17 315
Henry O’Halloran United States 12 41 0.6× 22 0.4× 64 1.2× 51 1.0× 32 0.7× 19 460
Yehoshua Almog Israel 12 42 0.6× 30 0.5× 77 1.4× 36 0.7× 27 0.6× 29 338
Lucía Muñoz-Narbona Spain 11 144 2.1× 35 0.6× 52 1.0× 13 0.2× 55 1.2× 35 489
J.L. Stievenart France 12 92 1.3× 50 0.9× 107 2.0× 130 2.5× 30 0.7× 25 439
Michael Swerdlow United States 9 43 0.6× 29 0.5× 125 2.3× 48 0.9× 22 0.5× 12 367

Countries citing papers authored by Jasmina Boban

Since Specialization
Citations

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

Fields of papers citing papers by Jasmina Boban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jasmina Boban

This figure shows the co-authorship network connecting the top 25 collaborators of Jasmina Boban. A scholar is included among the top collaborators of Jasmina Boban 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 Jasmina Boban. Jasmina Boban 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.
Heinzlef, Olivier, et al.. (2025). Evaluation of two AI techniques for the detection of new T2/FLAIR lesions in the follow-up of multiple sclerosis patients. Frontiers in Neurology. 16. 1678073–1678073. 1 indexed citations
2.
Kayyali, Reem, Andreas Charalambous, Maria Lavdaniti, et al.. (2024). Artificial Intelligence for Optimizing Cancer Imaging: User Experience Study. JMIR Cancer. 10. e52639–e52639. 1 indexed citations
3.
Ostojić, Jelena, et al.. (2024). Decreased Cerebral Creatine and N-Acetyl Aspartate Concentrations after Severe COVID-19 Infection: A Magnetic Resonance Spectroscopy Study. Journal of Clinical Medicine. 13(14). 4128–4128. 4 indexed citations
4.
Boban, Jasmina, et al.. (2024). Age-related volume decrease in subcortical gray matter is a part of healthy brain aging in men. Irish Journal of Medical Science (1971 -). 194(1). 339–345. 1 indexed citations
5.
Ostojić, Jelena, et al.. (2024). Peak Resembling N-acetylaspartate (NAA) on Magnetic Resonance Spectroscopy of Brain Metastases. Medicina. 60(4). 662–662. 1 indexed citations
6.
7.
Brkić, Snežana, et al.. (2023). CNS efficacy parameters of combination antiretroviral therapy in chronic HIV infection: A multi-voxel magnetic resonance spectroscopy study. Frontiers in Neurology. 14. 943183–943183. 1 indexed citations
8.
Kayyali, Reem, Evangelia Stalika, Tarek Ajami, et al.. (2023). Cancer care at the time of the fourth industrial revolution: an insight to healthcare professionals’ perspectives on cancer care and artificial intelligence. Radiation Oncology. 18(1). 167–167. 12 indexed citations
9.
Kayyali, Reem, Andreas Charalambous, Evangelia Stalika, et al.. (2023). Cancer care pathways across seven countries in Europe: What are the current obstacles? And how can artificial intelligence help?. Journal of Cancer Policy. 39. 100457–100457. 2 indexed citations
10.
Knežević, Aleksandar, et al.. (2023). A New Mechanical Mouth Opener for Dynamic Magnetic Resonance Imaging of the Temporomandibular Joint. Journal of Clinical Medicine. 12(15). 5035–5035. 1 indexed citations
11.
Kozić, Duško, et al.. (2021). Is Elevated Choline on Magnetic Resonance Spectroscopy a Reliable Marker of Breast Lesion Malignancy?. Frontiers in Oncology. 11. 610354–610354. 7 indexed citations
12.
Boban, Jasmina, et al.. (2020). Neurocognitive changes in cancer patients as a current challenge in psycho-oncology. Medicinski pregled. 73(11-12). 357–363.
13.
Ristić, Mioljub, et al.. (2019). Sero-epidemiological study in prediction of the risk groups for measles outbreaks in Vojvodina, Serbia. PLoS ONE. 14(5). e0216219–e0216219. 18 indexed citations
14.
Boban, Jasmina, et al.. (2019). Thalamic volume loss as an early sign of amnestic mild cognitive impairment. Journal of Clinical Neuroscience. 68. 168–173. 20 indexed citations
15.
Boban, Jasmina, Majda M. Thurnher, Snežana Brkić, et al.. (2019). Neurometabolic Remodeling in Chronic Hiv Infection: a Five-Year Follow-up Multi-Voxel Mrs Study. Scientific Reports. 9(1). 19799–19799. 6 indexed citations
16.
Jeremić-Knežević, Milica, et al.. (2018). Correlation of somatization, depression, and chronic pain with clinical findings of the temporomandibular disorders in asymptomatic women. CRANIO®. 39(1). 17–23. 18 indexed citations
17.
Mitrović, Jelena, et al.. (2018). Executive Functions Rating Scale and Neurobiochemical Profile in HIV-Positive Individuals. Frontiers in Psychology. 9. 1238–1238. 3 indexed citations
18.
19.
Boban, Jasmina, et al.. (2017). Proton Chemical Shift Imaging Study of the Combined Antiretroviral Therapy Impact on Neurometabolic Parameters in Chronic HIV Infection. American Journal of Neuroradiology. 38(6). 1122–1129. 9 indexed citations
20.
Boban, Jasmina, et al.. (2012). Bilateral bloody nipple discharge in a male infant: sonographic findings and proposed diagnostic approach. Journal of Pediatric Endocrinology and Metabolism. 25(1-2). 163–4. 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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