Ivan Mičetić
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
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- Environmental Toxicology and Ecotoxicology
Papers in
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- Nanoparticles: synthesis and applications 6
- Enzyme Structure and Function 3
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- Hemoglobin structure and function 3
- Co-authors
- Silvio C. E. Tosatto (5 shared papers)Michela Zanella (2 shared papers)Annamaria Volpi Ghirardini (2 shared papers)Marco Necci (2 shared papers)Giovanni Libralato (2 shared papers)Enrico Sabbioni (2 shared papers)Alexander Miguel Monzón (3 shared papers)Norman E. Davey (2 shared papers)
In The Last Decade
Ivan Mičetić
26 papers receiving 1.8k citations
Ivan Mičetić's Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 1k
- Health, Toxicology and Mutagenesis 100
- Information Systems and Management 66
- Materials Chemistry 257
- Neurology 81
Countries citing papers authored by Ivan Mičetić
This map shows the geographic impact of Ivan Mičetić'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 Ivan Mičetić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Mičetić more than expected).
Fields of papers citing papers by Ivan Mičetić
This network shows the impact of papers produced by Ivan Mičetić. 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 Ivan Mičetić. The network helps show where Ivan Mičetić may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Mičetić, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Critical assessment of protein intrinsic disorder prediction Hit paper breakdown → | 2021 | 251 |
| 2 | 2016 | 242 | |
| 3 | 2019 | 183 | |
| 4 | 2020 | 178 | |
| 5 | 2017 | 161 | |
| 6 | 2014 | 137 | |
| 7 | 2015 | 113 | |
| 8 | 2015 | 100 | |
| 9 | 2012 | 90 | |
| 10 | 2013 | 86 | |
| 11 | 2017 | 74 | |
| 12 | 2015 | 51 | |
| 13 | 2017 | 51 | |
| 14 | 2020 | 42 | |
| 15 | 2012 | 23 | |
| 16 | 2012 | 16 | |
| 17 | 2012 | 11 | |
| 18 | 2015 | 11 | |
| 19 | 2010 | 9 | |
| 20 | 2020 | 8 |
About Ivan Mičetić
Ivan Mičetić is a scholar working on Materials Chemistry, Cell Biology, Molecular Biology, Information Systems and Management and Rehabilitation, having authored 27 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (8 papers), Nanoparticles: synthesis and applications (6 papers), Hemoglobin structure and function (3 papers), Enzyme Structure and Function (3 papers), Research Data Management Practices (2 papers), Scientific Computing and Data Management (2 papers), Distributed and Parallel Computing Systems (1 paper) and ATP Synthase and ATPases Research (1 paper). The work is most often cited by research in Molecular Biology (1k citations), Health, Toxicology and Mutagenesis (100 citations), Information Systems and Management (66 citations), Materials Chemistry (257 citations) and Neurology (81 citations). Ivan Mičetić has collaborated with scholars based in Italy, Belgium and Hungary. Frequent co-authors include Silvio C. E. Tosatto, Michela Zanella, Annamaria Volpi Ghirardini, Marco Necci, Giovanni Libralato, Enrico Sabbioni, Alexander Miguel Monzón, Norman E. Davey, Zsuzsanna Dosztányi and Wim Vranken. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Frontiers in Microbiology, Analytical and Bioanalytical Chemistry and Journal of Structural Biology.
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.