Ivanka Marković
Impact in
- Molecular Biology top 5%
- Mitochondrial Function and Pathology
- Lipid Membrane Structure and Behavior
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Bioactive Natural Diterpenoids Research
- Physiology top 5%
Papers in
-
- Biochemical and Molecular Research 7
- Oncology 15
- Metal complexes synthesis and properties 9
- Co-authors
- Paul Walther (1 shared paper)Rainer Saffrich (1 shared paper)Hans‐Hermann Gerdes (1 shared paper)Amin Rustom (1 shared paper)Vladimir Trajković (14 shared papers)Aleksandra Isaković (13 shared papers)Sabera Ruždijić (6 shared papers)Ljubica Harhaji‐Trajkovic (4 shared papers)
In The Last Decade
Ivanka Marković
63 papers receiving 2.7k citations
Ivanka Marković's Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 1.4k
- Physiology 95
- Biological Psychiatry 38
- Cell Biology 239
- Cellular and Molecular Neuroscience 250
Countries citing papers authored by Ivanka Marković
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
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-authors
The 25 scholars most cited alongside Ivanka Marković, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Nanotubular Highways for Intercellular Organelle Transport Hit paper breakdown → | 2004 | 1532 |
| 2 | 2013 | 103 | |
| 3 | 2007 | 89 | |
| 4 | 2006 | 84 | |
| 5 | 2012 | 71 | |
| 6 | 2014 | 56 | |
| 7 | 2011 | 54 | |
| 8 | 2012 | 53 | |
| 9 | 2015 | 49 | |
| 10 | 2008 | 45 | |
| 11 | 2012 | 41 | |
| 12 | 2011 | 38 | |
| 13 | 2011 | 35 | |
| 14 | 2018 | 34 | |
| 15 | 2015 | 31 | |
| 16 | 2019 | 31 | |
| 17 | 2013 | 30 | |
| 18 | 2012 | 26 | |
| 19 | 2018 | 24 | |
| 20 | 2013 | 23 |
About Ivanka Marković
Ivanka Marković is a scholar working on Molecular Biology, Oncology, Physiology, Epidemiology and Organic Chemistry, having authored 66 papers that have together received 2.8k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (11 papers), Autophagy in Disease and Therapy (9 papers), Metal complexes synthesis and properties (9 papers), Biochemical and Molecular Research (7 papers), Neonatal Health and Biochemistry (5 papers), Folate and B Vitamins Research (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Phytochemistry and Biological Activities (4 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Physiology (95 citations), Biological Psychiatry (38 citations), Cell Biology (239 citations) and Cellular and Molecular Neuroscience (250 citations). Ivanka Marković has collaborated with scholars based in Serbia, Romania and Czechia. Frequent co-authors include Paul Walther, Rainer Saffrich, Hans‐Hermann Gerdes, Amin Rustom, Vladimir Trajković, Aleksandra Isaković, Sabera Ruždijić, Ljubica Harhaji‐Trajkovic, Marija Dulović and Milica Pešić. Their work appears in journals such as Planta Medica, European Journal of Pharmacology, Brain Research, Investigational New Drugs and Psychiatry Research.
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.