Predrag Jovanović

436 total citations
28 papers, 272 citations indexed

About

Predrag Jovanović is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Predrag Jovanović has authored 28 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Behavioral Neuroscience, 11 papers in Endocrine and Autonomic Systems and 7 papers in Molecular Biology. Recurrent topics in Predrag Jovanović's work include Stress Responses and Cortisol (12 papers), Circadian rhythm and melatonin (6 papers) and Adipose Tissue and Metabolism (5 papers). Predrag Jovanović is often cited by papers focused on Stress Responses and Cortisol (12 papers), Circadian rhythm and melatonin (6 papers) and Adipose Tissue and Metabolism (5 papers). Predrag Jovanović collaborates with scholars based in Serbia, United States and Canada. Predrag Jovanović's co-authors include Sladjana Dronjak, Nataša Spasojević, Céline E. Riera, Nebojša Jasnić, Jelena Djordjević, Ivan Topisirović, Vesna Pešić, Svetlana Ignjatović, Bojan Marković and Nela Puškaš and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The EMBO Journal.

In The Last Decade

Predrag Jovanović

28 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Predrag Jovanović Serbia 9 78 76 70 56 49 28 272
Chun Chen United States 11 128 1.6× 57 0.8× 131 1.9× 26 0.5× 62 1.3× 15 380
Anna Kamitakahara United States 9 40 0.5× 132 1.7× 84 1.2× 74 1.3× 23 0.5× 15 301
Frankie D. Heyward United States 5 91 1.2× 61 0.8× 43 0.6× 121 2.2× 31 0.6× 6 292
Alita Soch Australia 12 64 0.8× 110 1.4× 75 1.1× 137 2.4× 77 1.6× 15 477
Molly McGorry United States 7 72 0.9× 52 0.7× 65 0.9× 87 1.6× 33 0.7× 7 339
Brandon H. Cline France 9 62 0.8× 59 0.8× 105 1.5× 85 1.5× 97 2.0× 9 381
Pamela W. L. Yeh United States 9 87 1.1× 48 0.6× 77 1.1× 29 0.5× 51 1.0× 12 490
Yucen Xia China 13 51 0.7× 25 0.3× 81 1.2× 65 1.2× 94 1.9× 23 373
Catherine Y. Vriend Canada 7 74 0.9× 63 0.8× 141 2.0× 39 0.7× 65 1.3× 9 347
Annemarie Zimprich Germany 9 98 1.3× 26 0.3× 47 0.7× 52 0.9× 27 0.6× 11 282

Countries citing papers authored by Predrag Jovanović

Since Specialization
Citations

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

Fields of papers citing papers by Predrag Jovanović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Predrag Jovanović

This figure shows the co-authorship network connecting the top 25 collaborators of Predrag Jovanović. A scholar is included among the top collaborators of Predrag Jovanović 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 Predrag Jovanović. Predrag Jovanović 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.
Papadopoli, David, Predrag Jovanović, Daina Avizonis, et al.. (2024). MTOR modulation induces selective perturbations in histone methylation which influence the anti-proliferative effects of mTOR inhibitors. iScience. 27(3). 109188–109188. 5 indexed citations
2.
Jovanović, Predrag, et al.. (2023). A sex-specific thermogenic neurocircuit induced by predator smell recruiting cholecystokinin neurons in the dorsomedial hypothalamus. Nature Communications. 14(1). 4937–4937. 7 indexed citations
3.
Gyenis, Laszlo, Predrag Jovanović, Krzysztof J. Szkop, et al.. (2023). Comparison of CX-4945 and SGC-CK2-1 as inhibitors of CSNK2 using quantitative phosphoproteomics: Triple SILAC in combination with inhibitor-resistant CSNK2. PubMed. 3. 100041–100041. 8 indexed citations
4.
Leventis, Rania, et al.. (2022). Distinct, opposing functions for CFIm59 and CFIm68 in mRNA alternative polyadenylation of Pten and in the PI3K/Akt signalling cascade. Nucleic Acids Research. 50(16). 9397–9412. 6 indexed citations
5.
Sharma, Sahil, et al.. (2022). PABP prevents the untimely decay of select mRNA populations in human cells. The EMBO Journal. 41(6). e108650–e108650. 14 indexed citations
6.
Feng, Yongmei, Stefan Grotegut, Predrag Jovanović, et al.. (2022). Inhibition of coronavirus HCoV-OC43 by targeting the eIF4F complex. Frontiers in Pharmacology. 13. 1029093–1029093. 2 indexed citations
7.
Jovanović, Predrag & Céline E. Riera. (2022). Olfactory system and energy metabolism: a two-way street. Trends in Endocrinology and Metabolism. 33(4). 281–291. 19 indexed citations
8.
Jovanović, Predrag, et al.. (2022). Sustained chemogenetic activation of locus coeruleus norepinephrine neurons promotes dopaminergic neuron survival in synucleinopathy. PLoS ONE. 17(3). e0263074–e0263074. 13 indexed citations
9.
Chi, Jingyi, et al.. (2021). Sensory neurons expressing calcitonin gene-related peptide α regulate adaptive thermogenesis and diet-induced obesity. Molecular Metabolism. 45. 101161–101161. 25 indexed citations
10.
Spasojević, Nataša, et al.. (2018). Melatonin modulate the expression of α1- and β2-adrenoceptors in the hippocampus of rats subjected to unpredictable chronic mild stress. Bratislavské lekárske listy/Bratislava medical journal. 119(7). 429–433. 4 indexed citations
12.
Jovanović, Predrag, et al.. (2017). Oxytocin in corticosterone-induced chronic stress model: Focus on adrenal gland function. Psychoneuroendocrinology. 80. 137–146. 30 indexed citations
13.
Dronjak, Sladjana, et al.. (2017). Altered cardiac gene expression of noradrenaline enzymes, transporter and β-adrenoceptors in rat model of rheumatoid arthritis. Autonomic Neuroscience. 208. 165–169. 2 indexed citations
14.
Spasojević, Nataša, et al.. (2016). Anxiety and Hyperlocomotion Induced by Chronic Unpredictable Mild Stress Can Be Moderated with Melatonin Treatment. Folia Biologica. 62(6). 250–257. 16 indexed citations
16.
Jovanović, Predrag, et al.. (2016). Effects of oxytocin on adreno-medullary catecholamine synthesis, uptake and storage in rats exposed to chronic isolation stress. Endocrine Research. 41(2). 124–131. 7 indexed citations
17.
Jovanović, Predrag, et al.. (2014). Differential expression of tyrosine hydroxylase and transporters in the right and left stellate ganglion of socially isolated rats. Autonomic Neuroscience. 181. 85–89. 6 indexed citations
18.
Spasojević, Nataša, Predrag Jovanović, & Sladjana Dronjak. (2013). Molecular basis of chronic stress-induced hippocampal lateral asymmetry in rats and impact on learning and memory. Acta Physiologica Hungarica. 100(4). 388–394. 5 indexed citations
20.
Spasojević, Nataša, Predrag Jovanović, & Sladjana Dronjak. (2012). Chronic fluoxetine treatment affects gene expression of catecholamine enzymes in the heart of depression model rats.. PubMed. 50(11). 771–5. 7 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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