Predrag Kukić
Impact in
- Chemical Health and Safety top 5%
- Small Animals top 5%
- Animal testing and alternatives
Papers in
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- Computational Drug Discovery Methods 12
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- Animal testing and alternatives 7
- Co-authors
- Jens Erik Nielsen (5 shared papers)Michele Vendruscolo (14 shared papers)Carlo Camilloni (10 shared papers)Damien Farrell (2 shared papers)Bertrand García‐Moreno E. (1 shared paper)Kristine Steen Jensen (1 shared paper)Kaare Teilum (1 shared paper)Lawrence P. McIntosh (1 shared paper)
- Journals
- Toxicological Sciences (3 papers)Journal of the American Chemical Society (2 papers)Chemosphere (2 papers)Biophysical Journal (2 papers)Toxicology and Applied Pharmacology (2 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Predrag Kukić
41 papers receiving 931 citations
Peers
Comparison fields: 5 of 117
- Chemical Health and Safety 21
- Small Animals 89
- Molecular Biology 572
- Health, Toxicology and Mutagenesis 102
- Computational Theory and Mathematics 114
Countries citing papers authored by Predrag Kukić
This map shows the geographic impact of Predrag Kukić'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 Predrag Kukić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Predrag Kukić more than expected).
Fields of papers citing papers by Predrag Kukić
This network shows the impact of papers produced by Predrag Kukić. 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 Predrag Kukić. The network helps show where Predrag Kukić may publish in the future.
Co-authors
The 25 scholars most cited alongside Predrag Kukić, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 116 | |
| 2 | 2017 | 103 | |
| 3 | 2010 | 80 | |
| 4 | 2013 | 79 | |
| 5 | 2017 | 50 | |
| 6 | 2022 | 49 | |
| 7 | 2015 | 48 | |
| 8 | 2016 | 44 | |
| 9 | 2017 | 36 | |
| 10 | 2014 | 35 | |
| 11 | 2022 | 33 | |
| 12 | 2009 | 23 | |
| 13 | 2014 | 23 | |
| 14 | 2022 | 22 | |
| 15 | 2017 | 21 | |
| 16 | 2013 | 17 | |
| 17 | 2015 | 16 | |
| 18 | 2015 | 15 | |
| 19 | 2024 | 15 | |
| 20 | 2024 | 14 |
About Predrag Kukić
Predrag Kukić is a scholar working on Computational Theory and Mathematics, Small Animals, Molecular Biology, Chemical Health and Safety and Spectroscopy, having authored 41 papers that have together received 958 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Computational Drug Discovery Methods (12 papers), Enzyme Structure and Function (8 papers), Animal testing and alternatives (7 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Advanced NMR Techniques and Applications (3 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Chemical Health and Safety (21 citations), Small Animals (89 citations), Molecular Biology (572 citations), Health, Toxicology and Mutagenesis (102 citations) and Computational Theory and Mathematics (114 citations). Predrag Kukić has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Jens Erik Nielsen, Michele Vendruscolo, Carlo Camilloni, Damien Farrell, Bertrand García‐Moreno E., Kristine Steen Jensen, Kaare Teilum, Lawrence P. McIntosh, Gianluca Pollastri and Andrea Cavalli. Their work appears in journals such as Toxicological Sciences, Journal of the American Chemical Society, Chemosphere, Biophysical Journal and Toxicology and Applied Pharmacology.
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.