Miloš Mitić

956 total citations
39 papers, 728 citations indexed

About

Miloš Mitić is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Miloš Mitić has authored 39 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biological Psychiatry, 23 papers in Behavioral Neuroscience and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Miloš Mitić's work include Tryptophan and brain disorders (26 papers), Stress Responses and Cortisol (23 papers) and Hormonal Regulation and Hypertension (8 papers). Miloš Mitić is often cited by papers focused on Tryptophan and brain disorders (26 papers), Stress Responses and Cortisol (23 papers) and Hormonal Regulation and Hypertension (8 papers). Miloš Mitić collaborates with scholars based in Serbia, United States and Austria. Miloš Mitić's co-authors include Miroslav Adžić, Marija Radojčić, Iva Lukić, Zeljka Brkic, Jelena Djordjevic, Nadja P. Marić, Jelena Radulović, Milica Jovičić, Sanja Ivković and Tamara Lazarević‐Pašti and has published in prestigious journals such as Brain Research, International Journal of Molecular Sciences and Life Sciences.

In The Last Decade

Miloš Mitić

37 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miloš Mitić Serbia 15 384 304 212 99 93 39 728
Anelise S. Carlessi Brazil 13 389 1.0× 217 0.7× 197 0.9× 119 1.2× 93 1.0× 15 691
Maria Augusta B. dos Santos Brazil 15 325 0.8× 245 0.8× 103 0.5× 138 1.4× 83 0.9× 21 672
Elżbieta Gałecka Poland 15 469 1.2× 380 1.3× 144 0.7× 51 0.5× 79 0.8× 36 939
Motty Franko Israel 9 322 0.8× 285 0.9× 182 0.9× 185 1.9× 104 1.1× 16 884
Luana M. Manosso Brazil 16 309 0.8× 209 0.7× 149 0.7× 112 1.1× 66 0.7× 25 712
Zhi-Kun Qiu China 15 223 0.6× 246 0.8× 187 0.9× 167 1.7× 59 0.6× 32 629
Fernanda Neutzling Kaufmann Brazil 12 435 1.1× 269 0.9× 207 1.0× 66 0.7× 138 1.5× 22 794
Shintaro Ogawa Japan 16 362 0.9× 188 0.6× 202 1.0× 113 1.1× 84 0.9× 26 873
Salih Saygın Eker Türkiye 11 336 0.9× 240 0.8× 103 0.5× 78 0.8× 46 0.5× 25 744
Yeshwant Kurhe India 18 188 0.5× 165 0.5× 163 0.8× 137 1.4× 47 0.5× 32 669

Countries citing papers authored by Miloš Mitić

Since Specialization
Citations

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

Fields of papers citing papers by Miloš Mitić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miloš Mitić

This figure shows the co-authorship network connecting the top 25 collaborators of Miloš Mitić. A scholar is included among the top collaborators of Miloš Mitić 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 Miloš Mitić. Miloš Mitić 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.
Adžić, Miroslav, et al.. (2025). Nutritional Modulation of Impaired Blood-Brain Barrier Integrity and Function in Major Depression. International Journal of Molecular Sciences. 26(14). 6917–6917. 2 indexed citations
2.
Leskovac, Andreja, et al.. (2024). Metals on the Menu—Analyzing the Presence, Importance, and Consequences. Foods. 13(12). 1890–1890. 13 indexed citations
3.
4.
Ivković, Sanja, et al.. (2022). Fatty acids as biomodulators of Piezo1 mediated glial mechanosensitivity in Alzheimer's disease. Life Sciences. 297. 120470–120470. 16 indexed citations
5.
Lukić, Iva, Sanja Ivković, Miloš Mitić, & Miroslav Adžić. (2022). Tryptophan metabolites in depression: Modulation by gut microbiota. Frontiers in Behavioral Neuroscience. 16. 987697–987697. 55 indexed citations
6.
Mitić, Miloš, et al.. (2022). Sex-specific role of hippocampal NMDA-Erk-mTOR signaling in fear extinction of adolescent mice. Brain Research Bulletin. 192. 156–167. 5 indexed citations
7.
Lukić, Iva, Zorica D. Petrović, Zeljka Brkic, et al.. (2021). GluN2A-ERK-mTOR pathway confers a vulnerability to LPS-induced depressive-like behaviour. Behavioural Brain Research. 417. 113625–113625. 10 indexed citations
8.
Adžić, Miroslav, Marina Mihaljević, Zorica D. Petrović, et al.. (2018). Glucocorticoid receptor alpha translational isoforms as mediators of early adversities and negative emotional states. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 90. 288–299. 3 indexed citations
9.
Petrović, Zorica D., et al.. (2018). Disruption of the NMDA receptor GluN2A subunit abolishes inflammation-induced depression. Behavioural Brain Research. 359. 550–559. 27 indexed citations
10.
Mitić, Miloš, Zeljka Brkic, Iva Lukić, & Miroslav Adžić. (2017). Convergence of glycogen synthase kinase 3β and GR signaling in response to fluoxetine treatment in chronically stressed female and male rats. Behavioural Brain Research. 333. 295–303. 1 indexed citations
11.
Adžić, Miroslav, Miloš Mitić, & Marija Radojčić. (2017). Mitochondrial estrogen receptors as a vulnerability factor of chronic stress and mediator of fluoxetine treatment in female and male rat hippocampus. Brain Research. 1671. 77–84. 13 indexed citations
12.
Brkic, Zeljka, et al.. (2016). Male-specific effects of lipopolysaccharide on glucocorticoid receptor nuclear translocation in the prefrontal cortex of depressive rats. Psychopharmacology. 233(18). 3315–3330. 9 indexed citations
13.
14.
Djordjevic, Jelena, Ana Djordjević, Miroslav Adžić, et al.. (2015). Alterations in the Nrf2–Keap1 signaling pathway and its downstream target genes in rat brain under stress. Brain Research. 1602. 20–31. 56 indexed citations
15.
Lukić, Iva, Miloš Mitić, Jelena Djordjevic, et al.. (2014). Lymphocyte Levels of Redox-Sensitive Transcription Factors and Antioxidative Enzymes as Indicators of Pro-Oxidative State in Depressive Patients. Neuropsychobiology. 70(1). 1–9. 29 indexed citations
16.
Mitić, Miloš, et al.. (2014). Fluoxetine Signature on Hippocampal MAPK Signalling in Sex-Dependent Manner. Journal of Molecular Neuroscience. 55(2). 335–346. 11 indexed citations
17.
Lukić, Iva, Miloš Mitić, Ivan Soldatović, et al.. (2014). Accumulation of Cytoplasmic Glucocorticoid Receptor Is Related to Elevation of FKBP5 in Lymphocytes of Depressed Patients. Journal of Molecular Neuroscience. 55(4). 951–958. 22 indexed citations
18.
Adžić, Miroslav, Iva Lukić, Miloš Mitić, et al.. (2013). Brain region- and sex-specific modulation of mitochondrial glucocorticoid receptor phosphorylation in fluoxetine treated stressed rats: Effects on energy metabolism. Psychoneuroendocrinology. 38(12). 2914–2924. 41 indexed citations
19.
20.
Stefanović, Vladisav, et al.. (1995). Receptor-Mediated Induction of Human Glomerular Epithelial Cell Alkaline Phosphodiesterase I by Glucocorticoids. Archives of Physiology and Biochemistry. 103(4). 427–430. 1 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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