Daniela Cukovic
Impact in
- Biochemistry top 10%
- Phytochemicals and Antioxidant Activities
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- Carcinogens and Genotoxicity Assessment
Papers in
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- Genomics, phytochemicals, and oxidative stress 4
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- Carcinogens and Genotoxicity Assessment 4
- Co-authors
- Alan A. Dombkowski (18 shared papers)Carl J. Douglas (2 shared papers)Jürgen Ehlting (1 shared paper)Gary D. Stoner (4 shared papers)Rashmeet K. Reen (3 shared papers)David F. Steele (1 shared paper)Barbara A. Wible (1 shared paper)David Fedida (1 shared paper)
- Journals
- Cancer Research (2 papers)Toxicological Sciences (2 papers)Drug Metabolism and Disposition (1 paper)Plant Molecular Biology (1 paper)Non-Coding RNA (1 paper)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Daniela Cukovic
21 papers receiving 571 citations
Peers
Comparison fields: 5 of 80
- Biochemistry 46
- Cancer Research 100
- Molecular Biology 371
- Biotechnology 41
- Health, Toxicology and Mutagenesis 44
Countries citing papers authored by Daniela Cukovic
This map shows the geographic impact of Daniela Cukovic'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 Daniela Cukovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Cukovic more than expected).
Fields of papers citing papers by Daniela Cukovic
This network shows the impact of papers produced by Daniela Cukovic. 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 Daniela Cukovic. The network helps show where Daniela Cukovic may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Cukovic, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 106 | |
| 2 | 2008 | 78 | |
| 3 | 2012 | 62 | |
| 4 | 2001 | 56 | |
| 5 | 1999 | 47 | |
| 6 | 2008 | 43 | |
| 7 | 2014 | 32 | |
| 8 | 2011 | 25 | |
| 9 | 2008 | 24 | |
| 10 | 2017 | 22 | |
| 11 | 2021 | 19 | |
| 12 | 2005 | 12 | |
| 13 | 2019 | 12 | |
| 14 | 2007 | 12 | |
| 15 | 2012 | 9 | |
| 16 | 2011 | 7 | |
| 17 | 2016 | 7 | |
| 18 | 2013 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2019 | 3 |
About Daniela Cukovic
Daniela Cukovic is a scholar working on Molecular Biology, Cancer Research, Oncology, Physiology and Surgery, having authored 21 papers that have together received 590 indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (4 papers), Carcinogens and Genotoxicity Assessment (4 papers), Tuberous Sclerosis Complex Research (4 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Toxic Organic Pollutants Impact (3 papers), Polyomavirus and related diseases (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Biochemistry (46 citations), Cancer Research (100 citations), Molecular Biology (371 citations), Biotechnology (41 citations) and Health, Toxicology and Mutagenesis (44 citations). Daniela Cukovic has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Alan A. Dombkowski, Carl J. Douglas, Jürgen Ehlting, Gary D. Stoner, Rashmeet K. Reen, David F. Steele, Barbara A. Wible, David Fedida, Diane C. Chugani and Li-Shu Wang. Their work appears in journals such as Cancer Research, Toxicological Sciences, Drug Metabolism and Disposition, Plant Molecular Biology and Non-Coding RNA.
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.