Viktor Bojović
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
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- Biochemical and Structural Characterization
- vaccines and immunoinformatics approaches
- Machine Learning in Bioinformatics
- Chemical Synthesis and Analysis
- Protein Hydrolysis and Bioactive Peptides
Papers in
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- Antimicrobial Peptides and Activities 4
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- Biochemical and Structural Characterization 4
- Protein Structure and Dynamics 3
- Gene expression and cancer classification 1
- Co-authors
- Davor Juretić (4 shared papers)Alessandro Tossi (3 shared papers)Mario Novković (3 shared papers)Juraj Simunić (3 shared papers)Ana Bielen (1 shared paper)Ivana Bošnjak (1 shared paper)Bono Lučić (4 shared papers)Damir Vukičević (2 shared papers)
In The Last Decade
Viktor Bojović
12 papers receiving 386 citations
Peers
Comparison fields: 5 of 67
- Microbiology 220
- Molecular Biology 283
- Immunology 42
- Computational Theory and Mathematics 31
- Biotechnology 15
Countries citing papers authored by Viktor Bojović
This map shows the geographic impact of Viktor Bojović'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 Viktor Bojović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Viktor Bojović more than expected).
Fields of papers citing papers by Viktor Bojović
This network shows the impact of papers produced by Viktor Bojović. 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 Viktor Bojović. The network helps show where Viktor Bojović may publish in the future.
Co-authors
The 25 scholars most cited alongside Viktor Bojović, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 178 | |
| 2 | 2014 | 67 | |
| 3 | 2011 | 50 | |
| 4 | 2019 | 41 | |
| 5 | 2012 | 34 | |
| 6 | 2017 | 12 | |
| 7 | 2022 | 2 | |
| 8 | 2024 | 2 | |
| 9 | DADP: the Database of Anuran Defense Peptides | 2013 | 2 |
| 10 | 2023 | 1 | |
| 11 | A novel tool/method for visualization of orientations of side chains relative to the protein's main chain | 2011 | 1 |
| 12 | Analyser and viewer of protein inter-residue contacts | 2010 | 1 |
| 13 | 2023 | 1 | |
| 14 | 2024 | 0 |
About Viktor Bojović
Viktor Bojović is a scholar working on Microbiology, Molecular Biology, Computational Theory and Mathematics, Global and Planetary Change and Biochemistry, having authored 14 papers that have together received 392 indexed citations. Recurring topics across this work include Biochemical and Structural Characterization (4 papers), Antimicrobial Peptides and Activities (4 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (3 papers), Blockchain Technology Applications and Security (2 papers), Amphibian and Reptile Biology (2 papers), Enzyme Structure and Function (2 papers) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Microbiology (220 citations), Molecular Biology (283 citations), Immunology (42 citations), Computational Theory and Mathematics (31 citations) and Biotechnology (15 citations). Viktor Bojović has collaborated with scholars based in Croatia, Italy and France. Frequent co-authors include Davor Juretić, Alessandro Tossi, Mario Novković, Juraj Simunić, Ana Bielen, Ivana Bošnjak, Bono Lučić, Damir Vukičević, Dražen Petrov and Nada Ilić. Their work appears in journals such as European Food Research and Technology, Bioinformatics, Protein Engineering Design and Selection, Journal of Chemical Information and Modeling and Scientific Reports.
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.