Dragan Amić
- Organic Chemistry top 1%
- Biochemistry top 0.5%
- Computational Theory and Mathematics top 0.5%
- Molecular Biology
- Geometry and Topology top 2%
- Co-authors
- Nenad TrinajstićBono LučićDrago BešloDušanka Davidović-AmićZoran MarkovićJasmina M. Dimitrić MarkovićVišnja StepanićSonja Nikolić
- Topics
- Free Radicals and Antioxidants (37 papers)Computational Drug Discovery Methods (23 papers)Phytochemicals and Antioxidant Activities (12 papers)
In The Last Decade
Dragan Amić
59 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 138
- Organic Chemistry 1.3k
- Biochemistry 870
- Computational Theory and Mathematics 741
- Molecular Biology 480
- Geometry and Topology 387
Countries citing papers authored by Dragan Amić
This map shows the geographic impact of Dragan Amić'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 Dragan Amić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dragan Amić more than expected).
Fields of papers citing papers by Dragan Amić
This network shows the impact of papers produced by Dragan Amić. 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 Dragan Amić. The network helps show where Dragan Amić may publish in the future.
Co-authorship network of co-authors of Dragan Amić
This figure shows the co-authorship network connecting the top 25 collaborators of Dragan Amić. A scholar is included among the top collaborators of Dragan Amić 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 Dragan Amić. Dragan Amić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 10 | |
| 3 | 94 | |
| 4 | 29 | |
| 5 | 55 | |
| 6 | 81 | |
| 7 | 21 | |
| 8 | 102 | |
| 9 | 45 | |
| 10 | 28 | |
| 11 | 86 | |
| 12 | 6 | |
| 13 | Structure-radical scavenging activity relationships of flavonoids | 497 |
| 14 | Predicting Inhibition of Microsomal p-Hydroxylation of Aniline by Aliphatic Alcohols: A QSAR Approach Based on the Weighted Path Numbers | 6 |
| 15 | Vitisin-Type Pigments: Possible Novel Food Colors | 8 |
| 16 | 16 | |
| 17 | A simple QSAR model for trypsin aminopeptidase inhibitory flavonoids | 2 |
| 18 | 4-Carboxyflavylium Salts: Stable Red Dyes? | 4 |
| 19 | A theoretical study of flavilium salts | 32 |
| 20 | Topological Resonance Energies of Some Forms of the Flavylium Chromophoric System | 4 |
About Dragan Amić
Dragan Amić is a scholar working on Biochemistry, Computational Theory and Mathematics and Organic Chemistry, having authored 61 papers that have together received 2.7k indexed citations. Recurring topics across this work include Free Radicals and Antioxidants (37 papers), Computational Drug Discovery Methods (23 papers) and Phytochemicals and Antioxidant Activities (12 papers). The work is most often cited by research in Biochemistry (870 citations), Computational Theory and Mathematics (741 citations) and Geometry and Topology (387 citations). Dragan Amić has collaborated with scholars based in Croatia, Serbia and Russia. Frequent co-authors include Nenad Trinajstić, Bono Lučić, Drago Bešlo, Dušanka Davidović-Amić, Zoran Marković, Jasmina M. Dimitrić Marković, Višnja Stepanić, Sonja Nikolić, Dejan Milenković and Vesna Rastija. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Physical Chemistry Chemical Physics.
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.