Evica Dinčić

540 total citations
39 papers, 346 citations indexed

About

Evica Dinčić is a scholar working on Pathology and Forensic Medicine, Oncology and Neurology. According to data from OpenAlex, Evica Dinčić has authored 39 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pathology and Forensic Medicine, 11 papers in Oncology and 8 papers in Neurology. Recurrent topics in Evica Dinčić's work include Multiple Sclerosis Research Studies (20 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). Evica Dinčić is often cited by papers focused on Multiple Sclerosis Research Studies (20 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Blood Coagulation and Thrombosis Mechanisms (4 papers). Evica Dinčić collaborates with scholars based in Serbia, Croatia and Slovenia. Evica Dinčić's co-authors include Maja Živković, Aleksandra Stanković, Dragan Alavantić, R Raicević, Tamara Djurić, Slobodan Vojinović, Nada Starčević Čizmarević, Slobodan Obradović, Miodrag Čolić and Juraj Sepčić and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Evica Dinčić

37 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evica Dinčić Serbia 11 134 78 76 70 45 39 346
A. Garcı́a-Merino Spain 11 156 1.2× 82 1.1× 105 1.4× 49 0.7× 29 0.6× 18 480
Massimo Costanza Italy 12 69 0.5× 93 1.2× 184 2.4× 43 0.6× 78 1.7× 23 435
Daniel Chesik Netherlands 15 86 0.6× 132 1.7× 61 0.8× 35 0.5× 13 0.3× 20 439
Vijay K. Ulaganathan Germany 7 113 0.8× 145 1.9× 169 2.2× 80 1.1× 22 0.5× 11 483
Karim L. Kreft Netherlands 13 151 1.1× 104 1.3× 141 1.9× 59 0.8× 45 1.0× 24 408
Ali Maisam Afzali Germany 9 93 0.7× 120 1.5× 113 1.5× 55 0.8× 36 0.8× 16 359
G. Coppolino Italy 12 45 0.3× 119 1.5× 110 1.4× 24 0.3× 103 2.3× 18 417
ROSARIA D’URSO Italy 14 84 0.6× 98 1.3× 71 0.9× 63 0.9× 20 0.4× 34 467
Maurizio Giorelli Italy 13 108 0.8× 84 1.1× 130 1.7× 56 0.8× 26 0.6× 28 439
Kimberly Krivacic United States 6 166 1.2× 71 0.9× 197 2.6× 86 1.2× 30 0.7× 7 461

Countries citing papers authored by Evica Dinčić

Since Specialization
Citations

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

Fields of papers citing papers by Evica Dinčić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evica Dinčić

This figure shows the co-authorship network connecting the top 25 collaborators of Evica Dinčić. A scholar is included among the top collaborators of Evica Dinčić 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 Evica Dinčić. Evica Dinčić 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
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Stojsavljević, Aleksandar, et al.. (2024). Essential trace element levels in multiple sclerosis: Bridging demographic and clinical gaps, assessing the need for supplementation. Journal of Trace Elements in Medicine and Biology. 83. 127421–127421. 4 indexed citations
3.
Dinčić, Evica, et al.. (2024). Expression levels of GSDMB and ORMDL3 are associated with relapsing-remitting multiple sclerosis and IKZF3 rs12946510 variant. Heliyon. 10(3). e25033–e25033. 1 indexed citations
4.
Stanković, Aleksandra, et al.. (2024). Circulatory Indicators of Lipid Peroxidation, the Driver of Ferroptosis, Reflect Differences between Relapsing–Remitting and Progressive Multiple Sclerosis. International Journal of Molecular Sciences. 25(20). 11024–11024. 8 indexed citations
5.
Jovanović, Ivan, Evica Dinčić, Tamara Djurić, et al.. (2024). Targeted RNAseq Revealed the Gene Expression Signature of Ferroptosis-Related Processes Associated with Disease Severity in Patients with Multiple Sclerosis. International Journal of Molecular Sciences. 25(5). 3016–3016. 4 indexed citations
6.
Pekmezović, Tatjana, Nikola Veselinović, Evica Dinčić, et al.. (2024). Aquaporin4-IgG seropositivity significantly increases the risk of comorbid autoimmune diseases in NMOSD patients: population-based registry data. Journal of Neurology. 271(12). 7525–7536. 4 indexed citations
7.
Topić, Aleksandra, et al.. (2022). Oxidative stress-related risk of the multiple sclerosis development. Journal of Medical Biochemistry. 42(1). 1–8. 10 indexed citations
8.
Kostić, Dejan, et al.. (2022). Evolution of acute “black hole” lesions in patients with relapsing–remitting multiple sclerosis. Acta Neurologica Belgica. 123(3). 831–838. 1 indexed citations
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Dinčić, Evica, et al.. (2019). Expression of LEP, LEPR and PGC1A genes is altered in peripheral blood mononuclear cells of patients with relapsing-remitting multiple sclerosis. Journal of Neuroimmunology. 338. 577090–577090. 6 indexed citations
12.
Živković, Maja, et al.. (2016). Renin-angiotensin system gene polymorphisms as risk factors for multiple sclerosis. Journal of the Neurological Sciences. 363. 29–32. 17 indexed citations
13.
Drulović, Jelena, Vanja Bašić-Kes, Sanja Grgić, et al.. (2015). The Prevalence of Pain in Adults with Multiple Sclerosis: A Multicenter Cross-Sectional Survey. Pain Medicine. 16(8). 1597–1602. 37 indexed citations
14.
Živković, Maja, Nada Starčević Čizmarević, Luca Lovrečić, et al.. (2014). The Role of TPA I/D and PAI-1 4G/5G Polymorphisms in Multiple Sclerosis. Disease Markers. 2014. 1–8. 14 indexed citations
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Živković, Maja, et al.. (2013). The glutathione S-transferase T1 deletion is associated with susceptibility to multiple sclerosis. Journal of the Neurological Sciences. 334(1-2). 6–9. 16 indexed citations
17.
Djurić, Tamara, Aleksandra Stanković, Evica Dinčić, et al.. (2012). The association of V249I and T280M fractalkine receptor haplotypes with disease course of multiple sclerosis. Journal of Neuroimmunology. 245(1-2). 87–92. 21 indexed citations
18.
Živković, Maja, Aleksandra Stanković, Evica Dinčić, et al.. (2009). The tag SNP for HLA-DRB1⁎1501, rs3135388, is significantly associated with multiple sclerosis susceptibility: Cost-effective high-throughput detection by real-time PCR. Clinica Chimica Acta. 406(1-2). 27–30. 21 indexed citations
19.
Djurić, Tamara, Maja Živković, Aleksandra Stanković, et al.. (2007). Association of the MMP-3 5A/6A gene polymorphism with multiple sclerosis in patients from Serbia. Journal of the Neurological Sciences. 267(1-2). 62–65. 5 indexed citations
20.
Dinčić, Evica, Maja Živković, Aleksandra Stanković, et al.. (2006). Association of polymorphisms in CTLA-4, IL-1ra and IL-1β genes with multiple sclerosis in Serbian population. Journal of Neuroimmunology. 177(1-2). 146–150. 29 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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