Mario Novak
- Molecular Biology
- Plant Science top 10%
- Biomedical Engineering
- Food Science top 10%
- Pharmacology top 10%
- Co-authors
- Václav VětvičkaG. GomaPierre StrehaianoPredrag HorvatM. Jelı́nkováVladimír ŠubrKarel UlbrichOndřej Hovorka
- Topics
- Microbial Metabolic Engineering and Bioproduction (11 papers)Biofuel production and bioconversion (11 papers)Enzyme Catalysis and Immobilization (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Controlled ReleaseApplied Microbiology and Biotechnology
In The Last Decade
Mario Novak
27 papers receiving 763 citations
Peers
Comparison fields: 5 of 118
- Molecular Biology 336
- Plant Science 217
- Biomedical Engineering 201
- Food Science 139
- Pharmacology 106
Countries citing papers authored by Mario Novak
This map shows the geographic impact of Mario Novak'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 Mario Novak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Novak more than expected).
Fields of papers citing papers by Mario Novak
This network shows the impact of papers produced by Mario Novak. 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 Mario Novak. The network helps show where Mario Novak may publish in the future.
Co-authorship network of co-authors of Mario Novak
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Novak. A scholar is included among the top collaborators of Mario Novak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mario Novak. Mario Novak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 15 | |
| 7 | 4 | |
| 8 | 7 | |
| 9 | Characteristics and selection of cultures of photosynthetic purple non-sulphur bacteria as a potential 5-aminolevulinic acid producers | 2 |
| 10 | Anaerobni uzgoj kvasca Saccharomyces cerevisiae na hidrolizatima lignoceluloznih sirovina | 1 |
| 11 | 30 | |
| 12 | 13 | |
| 13 | 25 | |
| 14 | 138 | |
| 15 | 281 | |
| 16 | 85 | |
| 17 | 3 | |
| 18 | 7 | |
| 19 | 4 | |
| 20 | 145 |
About Mario Novak
Mario Novak is a scholar working on Biotechnology, Molecular Biology and Biomedical Engineering, having authored 28 papers that have together received 826 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (11 papers) and Enzyme Catalysis and Immobilization (7 papers). The work is most often cited by research in Biotechnology (72 citations), Food Science (139 citations) and Aquatic Science (51 citations). Mario Novak has collaborated with scholars based in Croatia, Czechia and Belarus. Frequent co-authors include Václav Větvička, G. Goma, Pierre Strehaiano, Predrag Horvat, M. Jelı́nková, Vladimír Šubr, Karel Ulbrich, Ondřej Hovorka, J. Strohalm and D Plocová. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Controlled Release and Applied Microbiology and Biotechnology.
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.