Iva Lukić

1.1k total citations
25 papers, 808 citations indexed

About

Iva Lukić is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Molecular Biology. According to data from OpenAlex, Iva Lukić has authored 25 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biological Psychiatry, 15 papers in Behavioral Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Iva Lukić's work include Tryptophan and brain disorders (18 papers), Stress Responses and Cortisol (15 papers) and Hormonal Regulation and Hypertension (5 papers). Iva Lukić is often cited by papers focused on Tryptophan and brain disorders (18 papers), Stress Responses and Cortisol (15 papers) and Hormonal Regulation and Hypertension (5 papers). Iva Lukić collaborates with scholars based in Serbia, Israel and United States. Iva Lukić's co-authors include Evan Elliott, Omry Koren, Miroslav Adžić, Miloš Mitić, Dmitriy Getselter, Ziv Oren, Eli Reuveni, Oded Oron, Jelena Djordjevic and Marija Radojčić and has published in prestigious journals such as Brain Research, International Journal of Molecular Sciences and Life Sciences.

In The Last Decade

Iva Lukić

24 papers receiving 801 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Iva Lukić Serbia 11 450 398 175 174 88 25 808
Yunfei Tan China 17 435 1.0× 531 1.3× 176 1.0× 163 0.9× 51 0.6× 36 1.1k
Bangmin Yin China 14 394 0.9× 351 0.9× 114 0.7× 204 1.2× 50 0.6× 22 733
Marcus Boehme Ireland 14 780 1.7× 403 1.0× 155 0.9× 414 2.4× 103 1.2× 18 1.2k
Anastasiya Slyepchenko Canada 12 326 0.7× 291 0.7× 98 0.6× 247 1.4× 40 0.5× 17 864
Junxi Pan China 14 709 1.6× 527 1.3× 122 0.7× 346 2.0× 70 0.8× 19 1.2k
Antonio Inserra Canada 14 458 1.0× 524 1.3× 186 1.1× 188 1.1× 47 0.5× 30 1.2k
Adriano José Maia Chaves Filho Brazil 18 330 0.7× 504 1.3× 250 1.4× 186 1.1× 64 0.7× 52 1.1k
Gilliard Lach Brazil 13 522 1.2× 230 0.6× 155 0.9× 266 1.5× 151 1.7× 21 1.0k
Eleni Siopi France 9 366 0.8× 263 0.7× 124 0.7× 186 1.1× 45 0.5× 13 822
Raphaela Mayerhofer Austria 11 576 1.3× 347 0.9× 153 0.9× 332 1.9× 123 1.4× 12 994

Countries citing papers authored by Iva Lukić

Since Specialization
Citations

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

Fields of papers citing papers by Iva Lukić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iva Lukić

This figure shows the co-authorship network connecting the top 25 collaborators of Iva Lukić. A scholar is included among the top collaborators of Iva Lukić 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 Iva Lukić. Iva Lukić 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.
Lukić, Iva, et al.. (2025). Long-lasting Depressive Behavior of Adolescent Chronically Stressed Mice is Mediated by Gut Microbiota Dysbiosis. Molecular Neurobiology. 62(7). 8868–8886.
3.
4.
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
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.
Brkic, Zeljka, et al.. (2022). Sex‐specific contribution of glucocorticoid receptor alpha isoforms to anxiety and depressive‐like behavior in mice. Journal of Neuroscience Research. 100(5). 1239–1253. 8 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.
Mihaljević, Marina, Ivan Soldatović, Iva Lukić, et al.. (2021). The FKBP5 genotype and childhood trauma effects on FKBP5 DNA methylation in patients with psychosis, their unaffected siblings, and healthy controls. Psychoneuroendocrinology. 128. 105205–105205. 6 indexed citations
9.
Lukić, Iva, Dmitriy Getselter, Ziv Oren, et al.. (2019). Antidepressants affect gut microbiota and Ruminococcus flavefaciens is able to abolish their effects on depressive-like behavior. Translational Psychiatry. 9(1). 133–133. 209 indexed citations
10.
Oron, Oded, Dmitriy Getselter, Eli Reuveni, et al.. (2019). Gene network analysis reveals a role for striatal glutamatergic receptors in dysregulated risk-assessment behavior of autism mouse models. Translational Psychiatry. 9(1). 257–257. 9 indexed citations
11.
Ćirković, Ivana, et al.. (2018). Predictors of health related‐quality of life among elderly with disabilities. Psychogeriatrics. 19(2). 141–149. 6 indexed citations
12.
Oren, Ziv, Marcela V. Karpuj, Iva Lukić, et al.. (2018). Dysbiosis of microbiome and probiotic treatment in a genetic model of autism spectrum disorders. Brain Behavior and Immunity. 73. 310–319. 160 indexed citations
13.
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
14.
Jovičić, Milica, Iva Lukić, Marija Radojčić, Miroslav Adžić, & Nadja P. Marić. (2015). Modulation of c-Jun N-terminal kinase signaling and specific glucocorticoid receptor phosphorylation in the treatment of major depression. Medical Hypotheses. 85(3). 291–294. 8 indexed citations
15.
16.
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
17.
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
18.
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
19.
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
20.
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

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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