Violeta Marković
Impact in
- Organic Chemistry top 5%
- Synthesis and biological activity
- Synthesis and Biological Evaluation
- Synthesis and Characterization of Heterocyclic Compounds
- Click Chemistry and Applications
- Multicomponent Synthesis of Heterocycles
- Ferrocene Chemistry and Applications
- Toxicology top 5%
Papers in
-
- Synthesis and biological activity 14
- Synthesis and Biological Evaluation 6
- Free Radicals and Antioxidants 5
- Co-authors
- Milan D. Joksović (24 shared papers)Tatjana Stanojković (14 shared papers)Ljubinka Joksović (12 shared papers)Ivana Z. Matić (8 shared papers)Snežana Trifunović (11 shared papers)Ljiljana S. Jovanović (6 shared papers)Nina Todorović (7 shared papers)Vukadin M. Leovac (7 shared papers)
In The Last Decade
Violeta Marković
33 papers receiving 725 citations
Peers
Comparison fields: 5 of 76
- Organic Chemistry 530
- Toxicology 37
- Oncology 178
- Inorganic Chemistry 63
- Computational Theory and Mathematics 68
Countries citing papers authored by Violeta Marković
This map shows the geographic impact of Violeta 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 Violeta Marković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Violeta Marković more than expected).
Fields of papers citing papers by Violeta Marković
This network shows the impact of papers produced by Violeta 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 Violeta Marković. The network helps show where Violeta Marković may publish in the future.
Co-authors
The 25 scholars most cited alongside Violeta 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 72 | |
| 2 | 2009 | 65 | |
| 3 | 2017 | 41 | |
| 4 | 2014 | 41 | |
| 5 | 2016 | 40 | |
| 6 | 2013 | 39 | |
| 7 | 2011 | 38 | |
| 8 | 2014 | 38 | |
| 9 | 2011 | 34 | |
| 10 | 2018 | 27 | |
| 11 | 2015 | 27 | |
| 12 | 2015 | 26 | |
| 13 | 2016 | 25 | |
| 14 | 2013 | 25 | |
| 15 | 2010 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2016 | 16 | |
| 18 | 2024 | 16 | |
| 19 | 2013 | 15 | |
| 20 | 2020 | 14 |
About Violeta Marković
Violeta Marković is a scholar working on Organic Chemistry, Molecular Biology, Oncology, Pharmacology and Toxicology, having authored 34 papers that have together received 739 indexed citations. Recurring topics across this work include Synthesis and biological activity (14 papers), Metal complexes synthesis and properties (7 papers), Synthesis and Biological Evaluation (6 papers), Free Radicals and Antioxidants (5 papers), Bioactive Compounds and Antitumor Agents (4 papers), Computational Drug Discovery Methods (3 papers), Synthesis of Organic Compounds (3 papers) and Fungal Plant Pathogen Control (3 papers). The work is most often cited by research in Organic Chemistry (530 citations), Toxicology (37 citations), Oncology (178 citations), Inorganic Chemistry (63 citations) and Computational Theory and Mathematics (68 citations). Violeta Marković has collaborated with scholars based in Serbia, Italy and Russia. Frequent co-authors include Milan D. Joksović, Tatjana Stanojković, Ljubinka Joksović, Ivana Z. Matić, Snežana Trifunović, Ljiljana S. Jovanović, Nina Todorović, Vukadin M. Leovac, Dušan Sladić and Miroslava Vujčić. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, European Journal of Medicinal Chemistry, Bioorganic Chemistry, Comptes Rendus Chimie and Green Chemistry.
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.