Selma Kanazir

2.8k total citations · 1 hit paper
87 papers, 2.2k citations indexed

About

Selma Kanazir is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Selma Kanazir has authored 87 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 26 papers in Physiology and 24 papers in Cellular and Molecular Neuroscience. Recurrent topics in Selma Kanazir's work include Anesthesia and Neurotoxicity Research (16 papers), Neuroscience and Neuropharmacology Research (12 papers) and Alzheimer's disease research and treatments (11 papers). Selma Kanazir is often cited by papers focused on Anesthesia and Neurotoxicity Research (16 papers), Neuroscience and Neuropharmacology Research (12 papers) and Alzheimer's disease research and treatments (11 papers). Selma Kanazir collaborates with scholars based in Serbia, United States and Canada. Selma Kanazir's co-authors include Sabera Ruždijić, Aleksandra Mladenović, Milka Perović, Desanka Milanović, Vesna Pešić, Kosara Smiljanić, Nataša Lončarević‐Vasiljković, Jelena Popić, Paul Greengard and Ljubisav Rakić and has published in prestigious journals such as Science, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Selma Kanazir

86 papers receiving 2.2k citations

Hit Papers

Synapsins: Mosaics of Shared and Individual Domains in a ... 1989 2026 2001 2013 1989 100 200 300 400

Peers

Selma Kanazir
Susan D. Kraner United States
Jay Yang United States
Susan D. Kraner United States
Selma Kanazir
Citations per year, relative to Selma Kanazir Selma Kanazir (= 1×) peers Susan D. Kraner

Countries citing papers authored by Selma Kanazir

Since Specialization
Citations

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

Fields of papers citing papers by Selma Kanazir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Selma Kanazir

This figure shows the co-authorship network connecting the top 25 collaborators of Selma Kanazir. A scholar is included among the top collaborators of Selma Kanazir 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 Selma Kanazir. Selma Kanazir 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.
Nikolić, Tatjana, Milica Velimirović, Selma Kanazir, et al.. (2024). Effects of Antipsychotics on the Hypothalamus–Pituitary–Adrenal Axis in a Phencyclidine Animal Model of Schizophrenia. Cells. 13(17). 1425–1425. 1 indexed citations
2.
Rajović, Nina, Andja Ćirković, Ravi Maheswaran, et al.. (2024). Insights into relationship of environmental inequalities and multimorbidity: a population-based study. Environmental Health. 23(1). 99–99. 2 indexed citations
4.
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
5.
Mladenović, Aleksandra, Μαριάννα Καπετάνου, Nataša Lončarević‐Vasiljković, et al.. (2020). Pharmacological intervention in a transgenic mouse model improves Alzheimer's-associated pathological phenotype: Involvement of proteasome activation. Free Radical Biology and Medicine. 162. 88–103. 17 indexed citations
6.
Lončarević‐Vasiljković, Nataša, et al.. (2020). Altered hedonic, novelty-, stress- and D-amphetamine-induced response due to social isolation in peripuberty. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 108. 110186–110186. 3 indexed citations
7.
Lončarević‐Vasiljković, Nataša, et al.. (2019). Frailty index and phenotype frailty score: Sex- and age-related differences in 5XFAD transgenic mouse model of Alzheimer’s disease. Mechanisms of Ageing and Development. 185. 111195–111195. 18 indexed citations
8.
Tešić, Vesna, Milka Perović, Ivan Zaletel, et al.. (2017). A single high dose of dexamethasone increases GAP-43 and synaptophysin in the hippocampus of aged rats. Experimental Gerontology. 98. 62–69. 6 indexed citations
9.
Košiček, Marko, et al.. (2016). Loss of Cathepsin B and L Leads to Lysosomal Dysfunction, NPC-Like Cholesterol Sequestration and Accumulation of the Key Alzheimer's Proteins. PLoS ONE. 11(11). e0167428–e0167428. 99 indexed citations
10.
Milanović, Desanka, Vesna Pešić, Nataša Lončarević‐Vasiljković, et al.. (2016). The Fas Ligand/Fas Death Receptor Pathways Contribute to Propofol-Induced Apoptosis and Neuroinflammation in the Brain of Neonatal Rats. Neurotoxicity Research. 30(3). 434–452. 36 indexed citations
11.
Brkić, Marjana, Sriram Balusu, Elien Van Wonterghem, et al.. (2015). Amyloid β Oligomers Disrupt Blood–CSF Barrier Integrity by Activating Matrix Metalloproteinases. Journal of Neuroscience. 35(37). 12766–12778. 144 indexed citations
12.
Smiljanić, Kosara, Irena Lavrnja, Aleksandra Mladenović, et al.. (2010). Brain injury induces cholesterol 24-hydroxylase (Cyp46) expression in glial cells in a time-dependent manner. Histochemistry and Cell Biology. 134(2). 159–169. 21 indexed citations
13.
Perović, Milka, Aleksandra Mladenović, Kosara Smiljanić, et al.. (2009). Expression of cholesterol homeostasis genes in the brain of the male rat is affected by age and dietary restriction. Biogerontology. 10(6). 735–745. 14 indexed citations
14.
Mladenović, Aleksandra, Milka Perović, Nikola Tanić, et al.. (2007). Dietary restriction modulates α‐synuclein expression in the aging rat cortex and hippocampus. Synapse. 61(9). 790–794. 18 indexed citations
15.
Tanić, Nikola, Milka Perović, Aleksandra Mladenović, Sabera Ruždijić, & Selma Kanazir. (2007). Effects of aging, dietary restriction and glucocorticoid treatment on housekeeping gene expression in rat cortex and hippocampus—Evaluation by real time RT-PCR. Journal of Molecular Neuroscience. 32(1). 38–46. 86 indexed citations
16.
Janković, Dragana, et al.. (2006). Induced Resistance in the Human Non Small Cell Lung Carcinoma (NCI-H460) Cell Line In Vitro by Anticancer Drugs. Journal of Chemotherapy. 18(1). 66–73. 84 indexed citations
17.
Radojčić, Marija, et al.. (1999). Glucocorticoid receptors in ageing rats. Experimental Gerontology. 34(8). 971–982. 20 indexed citations
18.
Ivković, Sanja, Selma Kanazir, Ljubisav Rakić, Michelle E. Ehrlich, & Sabera Ruždijić. (1997). Enhanced serum response element binding activity correlates with down-regulation of c-fos mRNA expression in the rat brain following repeated cortical lesions. Molecular Brain Research. 52(1). 62–70. 5 indexed citations
19.
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
20.
Mileusnić, Radmila, Selma Kanazir, Sabera Ruždijić, & Ljubiša Rakić. (1986). Effects of Cortisol Treatment on Protein Synthesis in Septum and Hippocampus of Rat Brain. Neuroendocrinology. 42(4). 306–310. 6 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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