Mario Novković
- Microbiology top 2%
- Antimicrobial Peptides and Activities 4
- Immunology top 5%
- Immune Cell Function and Interaction 4
- IL-33, ST2, and ILC Pathways 3
- Oncology top 10%
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth 4
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- Single-cell and spatial transcriptomics 5
- Gene Regulatory Network Analysis 4
- Biochemical and Structural Characterization 4
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- Cell Image Analysis Techniques 4
- Co-authors
- Lucas OnderBurkhard LudewigAlessandro TossiDavor JuretićHung‐Wei ChengViktor BojovićElke ScandellaJuraj Simunić
- Cited by
- MicrobiologyImmunologyOncology
- Partner nations
- SwitzerlandRussiaGermany
In The Last Decade
Mario Novković
24 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Microbiology 241
- Immunology 591
- Oncology 268
- Modeling and Simulation 31
- Molecular Biology 459
Countries citing papers authored by Mario Novković
This map shows the geographic impact of Mario Novković'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 Novković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Novković more than expected).
Fields of papers citing papers by Mario Novković
This network shows the impact of papers produced by Mario Novković. 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 Novković. The network helps show where Mario Novković may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mario Novković, 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 | 2022 | 14 | |
| 2 | 2021 | 54 | |
| 3 | 2020 | 81 | |
| 4 | 2020 | 46 | |
| 5 | 2020 | 39 | |
| 6 | 2019 | 73 | |
| 7 | 2018 | 43 | |
| 8 | 2018 | 23 | |
| 9 | 2018 | 61 | |
| 10 | 2018 | 1 | |
| 11 | 2017 | 103 | |
| 12 | 2017 | 6 | |
| 13 | 2016 | 12 | |
| 14 | 2016 | 68 | |
| 15 | 2016 | 86 | |
| 16 | 2016 | 18 | |
| 17 | DADP: the Database of Anuran Defense Peptides | 2013 | 3 |
| 18 | 2012 | 72 | |
| 19 | 2012 | 164 | |
| 20 | 2011 | 46 |
About Mario Novković
Mario Novković is a scholar working on Modeling and Simulation, Biophysics and Microbiology, having authored 24 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Mathematical Biology Tumor Growth (4 papers), Gene Regulatory Network Analysis (4 papers), Antimicrobial Peptides and Activities (4 papers), Immune Cell Function and Interaction (4 papers), Biochemical and Structural Characterization (4 papers), Cell Image Analysis Techniques (4 papers) and IL-33, ST2, and ILC Pathways (3 papers). The work is most often cited by research in Microbiology (241 citations), Immunology (591 citations) and Oncology (268 citations). Mario Novković has collaborated with scholars based in Switzerland, Russia and Germany. Frequent co-authors include Lucas Onder, Burkhard Ludewig, Alessandro Tossi, Davor Juretić, Hung‐Wei Cheng, Viktor Bojović, Elke Scandella, Juraj Simunić, Gennady Bocharov and Natalia Pikor. Their work appears in journals such as Nature Communications, Science Immunology, Nature Immunology, Journal of Allergy and Clinical Immunology and Immunity.
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.