Sanja Ivković

2.0k total citations · 1 hit paper
37 papers, 1.6k citations indexed

About

Sanja Ivković is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Sanja Ivković has authored 37 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 14 papers in Cellular and Molecular Neuroscience and 8 papers in Physiology. Recurrent topics in Sanja Ivković's work include Neuroscience and Neuropharmacology Research (8 papers), Fatty Acid Research and Health (6 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Sanja Ivković is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Fatty Acid Research and Health (6 papers) and Neurogenesis and neuroplasticity mechanisms (5 papers). Sanja Ivković collaborates with scholars based in Serbia, United States and Portugal. Sanja Ivković's co-authors include Karen M. Lyons, Michelle E. Ehrlich, Steven N. Popoff, Robert C. Stephenson, Aaron Daluiski, Diana E. Libuda, Fayez Safadi, Jane E. Johnson, Anne L. Calof and Richard C. Murray and has published in prestigious journals such as Neuron, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Sanja Ivković

34 papers receiving 1.6k citations

Hit Papers

Connective tissue growth ... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanja Ivković Serbia 15 1.0k 373 206 186 152 37 1.6k
Sohyun Ahn United States 12 1.1k 1.0× 329 0.9× 425 2.1× 241 1.3× 92 0.6× 17 1.6k
Lian Zhao United States 29 1.4k 1.4× 372 1.0× 121 0.6× 121 0.7× 116 0.8× 58 3.2k
Lilla Farkas Germany 17 806 0.8× 560 1.5× 390 1.9× 110 0.6× 104 0.7× 22 1.3k
Jay Chang United States 17 1.4k 1.4× 505 1.4× 289 1.4× 241 1.3× 179 1.2× 20 2.1k
Richard Fairless Germany 23 518 0.5× 597 1.6× 315 1.5× 102 0.5× 138 0.9× 39 1.4k
Frédéric Charbonnier France 26 1.0k 1.0× 208 0.6× 91 0.4× 161 0.9× 156 1.0× 51 1.5k
Annika Keller Switzerland 19 1.0k 1.0× 261 0.7× 132 0.6× 138 0.7× 234 1.5× 38 2.5k
Konstantinos Zarbalis United States 17 779 0.8× 456 1.2× 319 1.5× 291 1.6× 232 1.5× 23 1.4k
Lidia De Filippis Italy 22 849 0.8× 411 1.1× 487 2.4× 121 0.7× 142 0.9× 43 1.6k
Bula J. Bhattacharyya United States 19 804 0.8× 399 1.1× 239 1.2× 147 0.8× 192 1.3× 30 1.5k

Countries citing papers authored by Sanja Ivković

Since Specialization
Citations

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

Fields of papers citing papers by Sanja Ivković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanja Ivković

This figure shows the co-authorship network connecting the top 25 collaborators of Sanja Ivković. A scholar is included among the top collaborators of Sanja Ivković 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 Sanja Ivković. Sanja Ivković 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.
Ivković, Sanja, Tamara Major, Jelena Milas̆in, et al.. (2024). Reduced light exposure mitigates streptozotocin-induced vascular changes and gliosis in diabetic retina by an anti-inflammatory effect and increased retinal cholesterol turnover. Chemico-Biological Interactions. 394. 110996–110996.
3.
Perović, Milka, et al.. (2023). The presymptomatic treatment with 3HFWC nanosubstance decreased plaque load in 5XFAD mouse model of Alzheimer's disease. CNS Neuroscience & Therapeutics. 30(3). e14188–e14188. 7 indexed citations
4.
Ivković, Sanja & Djuro Koruga. (2023). Role of fullerenols derivative 3HFWC in the treatment of Alzheimer’s disease. Neural Regeneration Research. 19(8). 1641–1642. 2 indexed citations
5.
Vesković, Milena, Dragan Hrnčić, Marija Takić, et al.. (2023). Shortened Daily Photoperiod Alleviates Anxiety-like Behaviour by Antioxidant Effect and Changes Serum Fatty Acid Profile in Diabetic Rats. Journal of Personalized Medicine. 13(5). 744–744. 2 indexed citations
6.
Adžić, Miroslav, et al.. (2023). Contribution of the opioid system to depression and to the therapeutic effects of classical antidepressants and ketamine. Life Sciences. 326. 121803–121803. 14 indexed citations
7.
Djuričić, Ivana, Tamara Major, Desanka Milanović, et al.. (2022). The high-dose fish oil supplementation increased Mfsd2a expression without altering DHA levels in the retina of healthy mice. Journal of Functional Foods. 99. 105302–105302. 4 indexed citations
8.
9.
Lončarević‐Vasiljković, Nataša, Sanja Ivković, Jelena Dinić, et al.. (2019). Short-term fish oil supplementation applied in presymptomatic stage of Alzheimer's disease enhances microglial/macrophage barrier and prevents neuritic dystrophy in parietal cortex of 5xFAD mouse model. PLoS ONE. 14(5). e0216726–e0216726. 18 indexed citations
11.
Smiljanić, Kosara, Tim Vanmierlo, Aleksandra Mladenović, et al.. (2014). Cholesterol metabolism changes under long-term dietary restrictions while the cholesterol homeostasis remains unaffected in the cortex and hippocampus of aging rats. AGE. 36(3). 9654–9654. 10 indexed citations
12.
Ivković, Sanja, Christopher D. Beadle, Kristin R. Swanson, et al.. (2012). Direct inhibition of myosin II effectively blocks glioma invasion in the presence of multiple motogens. Molecular Biology of the Cell. 23(4). 533–542. 70 indexed citations
13.
Escande‐Beillard, Nathalie, Lorraine Washburn, Dan Zekzer, et al.. (2009). Neurons Preferentially Respond to Self-MHC Class I Allele Products Regardless of Peptide Presented. The Journal of Immunology. 184(2). 816–823. 22 indexed citations
14.
Ivković, Sanja, Peter Canoll, & James E. Goldman. (2008). ConstitutiveEGFRSignaling in Oligodendrocyte Progenitors Leads to Diffuse Hyperplasia in Postnatal White Matter. Journal of Neuroscience. 28(4). 914–922. 69 indexed citations
15.
Bogush, Alexey, et al.. (2005). DARPP-32 genomic fragments drive Cre expression in postnatal striatum. genesis. 42(1). 37–46. 26 indexed citations
16.
Ivković, Sanja, et al.. (2003). Autoregulation of Neurogenesis by GDF11. Neuron. 37(2). 197–207. 280 indexed citations
17.
Unterwald, Ellen M., et al.. (2003). Prenatal exposure to cocaine decreases adenylyl cyclase activity in embryonic mouse striatum. Developmental Brain Research. 147(1-2). 67–75. 11 indexed citations
19.
Ivković, Sanja, Selma Kanazir, Mirjana Stojiljković, Ljubisav Rakić, & Sabera Ruždijić. (1994). Desensitization of c-fos mRNA Expression in Rat Brain Following Cortical Lesions. Molecular and Cellular Neuroscience. 5(1). 11–22. 9 indexed citations
20.
Ruždijić, Sabera, Sanja Peković, Selma Kanazir, et al.. (1993). Temporal and spatial preferences of c-fos mRNA expression in the rat brain following cortical lesion. Brain Research. 601(1-2). 230–240. 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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