Predrag Kukić
Impact in
- Chemical Health and Safety top 10%
-
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
-
- Protein Structure and Dynamics 18
- Metabolomics and Mass Spectrometry Studies 4
- Glycosylation and Glycoproteins Research 3
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- Computational Drug Discovery Methods 12
- Co-authors
- Jens Erik Nielsen (5 shared papers)Michele Vendruscolo (14 shared papers)Carlo Camilloni (10 shared papers)Damien Farrell (2 shared papers)Gianluca Pollastri (2 shared papers)Bertrand García‐Moreno E. (1 shared paper)Kaare Teilum (1 shared paper)Lawrence P. McIntosh (1 shared paper)
- Journals
- Biochemistry (2 papers)Journal of the American Chemical Society (2 papers)Toxicology and Applied Pharmacology (2 papers)Toxicological Sciences (2 papers)Chemosphere (2 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Predrag Kukić
36 papers receiving 722 citations
Peers
Comparison fields: 5 of 113
- Chemical Health and Safety 9
- Molecular Biology 538
- Spectroscopy 83
- Computational Theory and Mathematics 78
- Small Animals 29
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 95 | |
| 2 | 2010 | 75 | |
| 3 | 2013 | 74 | |
| 4 | 2017 | 47 | |
| 5 | 2015 | 43 | |
| 6 | 2016 | 43 | |
| 7 | 2022 | 34 | |
| 8 | 2014 | 33 | |
| 9 | 2017 | 33 | |
| 10 | 2022 | 28 | |
| 11 | 2014 | 23 | |
| 12 | 2009 | 22 | |
| 13 | 2017 | 21 | |
| 14 | 2022 | 16 | |
| 15 | 2013 | 16 | |
| 16 | 2015 | 15 | |
| 17 | 2015 | 14 | |
| 18 | 2017 | 12 | |
| 19 | 2019 | 9 | |
| 20 | 2014 | 8 |
About Predrag Kukić
Predrag Kukić is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Spectroscopy and Small Animals, having authored 37 papers that have together received 732 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (18 papers), Computational Drug Discovery Methods (12 papers), Enzyme Structure and Function (9 papers), Animal testing and alternatives (5 papers), Alzheimer's disease research and treatments (4 papers), Metabolomics and Mass Spectrometry Studies (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 (9 citations), Molecular Biology (538 citations), Spectroscopy (83 citations), Computational Theory and Mathematics (78 citations) and Small Animals (29 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, Gianluca Pollastri, Bertrand García‐Moreno E., Kaare Teilum, Lawrence P. McIntosh, Kristine Steen Jensen and Andrea Cavalli. Their work appears in journals such as Biochemistry, Journal of the American Chemical Society, Toxicology and Applied Pharmacology, Toxicological Sciences and Chemosphere.
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.