Ivanka Marković

9.4k total citations · 1 hit paper
65 papers, 2.6k citations indexed

About

Ivanka Marković is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Ivanka Marković has authored 65 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Oncology and 14 papers in Epidemiology. Recurrent topics in Ivanka Marković's work include Adenosine and Purinergic Signaling (10 papers), Metal complexes synthesis and properties (9 papers) and Autophagy in Disease and Therapy (9 papers). Ivanka Marković is often cited by papers focused on Adenosine and Purinergic Signaling (10 papers), Metal complexes synthesis and properties (9 papers) and Autophagy in Disease and Therapy (9 papers). Ivanka Marković collaborates with scholars based in Serbia, Romania and United Kingdom. Ivanka Marković's co-authors include Hans‐Hermann Gerdes, Paul Walther, Amin Rustom, Rainer Saffrich, Vladimir Trajković, Aleksandra Isaković, Sabera Ruždijić, Ljubica Harhaji‐Trajkovic, Marija Dulović and Milica Pešić and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ivanka Marković

62 papers receiving 2.6k citations

Hit Papers

Nanotubular Highways for Intercellular Organelle Transport 2004 2026 2011 2018 2004 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ivanka Marković Serbia 20 1.4k 311 287 273 250 65 2.6k
Yuhong Du United States 34 1.9k 1.3× 427 1.4× 179 0.6× 171 0.6× 178 0.7× 96 3.0k
Stuart J. Conway United Kingdom 34 2.8k 2.0× 307 1.0× 237 0.8× 206 0.8× 410 1.6× 109 4.2k
Giovanna Musco Italy 35 3.0k 2.1× 295 0.9× 247 0.9× 127 0.5× 446 1.8× 99 5.3k
Guido Wabnitz Germany 31 1.7k 1.2× 421 1.4× 263 0.9× 205 0.8× 107 0.4× 66 3.8k
Joana D. Amaral Portugal 28 1.1k 0.8× 631 2.0× 453 1.6× 159 0.6× 215 0.9× 52 2.7k
Hiromi Imamura Japan 39 3.2k 2.3× 225 0.7× 204 0.7× 306 1.1× 467 1.9× 89 4.7k
Sheng Ye China 33 1.9k 1.3× 250 0.8× 146 0.5× 255 0.9× 399 1.6× 120 3.1k
Osamu Inanami Japan 34 1.9k 1.3× 351 1.1× 232 0.8× 248 0.9× 373 1.5× 182 4.2k
Hua Tang United States 32 1.6k 1.1× 212 0.7× 120 0.4× 305 1.1× 259 1.0× 73 2.9k
Jie Yang China 32 2.0k 1.4× 193 0.6× 120 0.4× 275 1.0× 193 0.8× 143 3.2k

Countries citing papers authored by Ivanka Marković

Since Specialization
Citations

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

Fields of papers citing papers by Ivanka Marković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivanka Marković

This figure shows the co-authorship network connecting the top 25 collaborators of Ivanka Marković. A scholar is included among the top collaborators of Ivanka Marković 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 Ivanka Marković. Ivanka Marković 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.
Marković, Ivanka, et al.. (2023). EFFECTS OF ADAPTED PHYSICAL EXERCISE ON CHILDREN AND ADOLESCENTS WITH OVERWEIGHT OR OBESITY. SHILAP Revista de lepidopterología. 19(1).
2.
Moisoi, Nicoleta, et al.. (2021). Mitochondrial homeostasis in cellular models of Parkinson's disease. DMU Open Research Archive (De Montfort University). 2 indexed citations
3.
Harhaji‐Trajkovic, Ljubica, Marija Dulović, Gordana Tovilović, et al.. (2019). AMP-activated protein kinase inhibits MPP+-induced oxidative stress and apoptotic death of SH-SY5Y cells through sequential stimulation of Akt and autophagy. European Journal of Pharmacology. 863. 172677–172677. 18 indexed citations
4.
Munjiza, Ana, et al.. (2018). Higher concentration of interleukin 6 - A possible link between major depressive disorder and childhood abuse. Psychiatry Research. 264. 26–30. 32 indexed citations
5.
Marković, Ivanka, et al.. (2017). Antileukemic action of novel diamine Pt(II) halogenido complexes: Comparison of the representative novel Pt(II) with corresponding Pt(IV) complex. Chemical Biology & Drug Design. 90(2). 262–271. 11 indexed citations
6.
Dulović, Marija, Ivanka Marković, Tamara Kravic‐Stevovic, et al.. (2016). Autophagy suppression sensitizes glioma cells to IMP dehydrogenase inhibition-induced apoptotic death. Experimental Cell Research. 350(1). 32–40. 15 indexed citations
7.
Marković, Ivanka, Nikola Kresojević, & Vladimir Kostić. (2016). Glucocerebrosidase and parkinsonism: lessons to learn. Journal of Neurology. 263(5). 1033–1044. 7 indexed citations
8.
Vilimanovich, Urosh, Andrija Bogdanović, Ivanka Marković, et al.. (2015). Statin-mediated inhibition of cholesterol synthesis induces cytoprotective autophagy in human leukemic cells. European Journal of Pharmacology. 765. 415–428. 48 indexed citations
9.
Miličić, Tanja, Aleksandra Jotić, Ivanka Marković, et al.. (2014). High Risk First Degree Relatives of Type 1 Diabetics: An Association with Increases in CXCR3+T Memory Cells Reflecting an Enhanced Activity of Th1 Autoimmune Response. International Journal of Endocrinology. 2014. 1–9. 2 indexed citations
10.
Nikolić, Goran M., et al.. (2014). Markers of inflammation and antioxidant enzyme activities in restenosis following percutaneous coronary intervention. Journal of the Serbian Chemical Society. 80(2). 143–157. 2 indexed citations
12.
Ristić, Biljana, Katarina Arsikin, Aleksandar Mirčić, et al.. (2014). Inhibition of mTOR-Dependent Autophagy Sensitizes Leukemic Cells to Cytarabine-Induced Apoptotic Death. PLoS ONE. 9(4). e94374–e94374. 55 indexed citations
13.
Dulović, Marija, M. Jovanović, Maria Xilouri, et al.. (2013). The protective role of AMP-activated protein kinase in alpha-synuclein neurotoxicity in vitro. Neurobiology of Disease. 63. 1–11. 100 indexed citations
14.
Pešić, Milica, Jasna Banković, Ivana Aljančić, et al.. (2011). New anti-cancer characteristics of jatrophane diterpenes from Euphorbia dendroides. Food and Chemical Toxicology. 49(12). 3165–3173. 31 indexed citations
16.
Harhaji‐Trajkovic, Ljubica, Aleksandra Isaković, Nevena Raičević, et al.. (2007). Multiple mechanisms underlying the anticancer action of nanocrystalline fullerene. European Journal of Pharmacology. 568(1-3). 89–98. 85 indexed citations
17.
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
18.
Redzic, Zoran, M. B. Segal, Ivanka Marković, et al.. (2001). The characteristics of nucleobase transport and metabolism by the perfused sheep choroid plexus. Brain Research. 888(1). 66–74. 11 indexed citations
19.
Redzic, Zoran, et al.. (2000). The kinetics of tiazofurin uptake by the isolated perfused choroidplexus of the sheep. Methods and Findings in Experimental and Clinical Pharmacology. 22(3). 149–149. 3 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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