Nada Kraševec
Impact in
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
- Fungal Biology and Applications
- Pharmacogenetics and Drug Metabolism
- Insect Science top 10%
- Entomopathogenic Microorganisms in Pest Control
Papers in
-
- Fungal and yeast genetics research 5
- Photosynthetic Processes and Mechanisms 3
- Microbial Metabolic Engineering and Bioproduction 3
- Glycosylation and Glycoproteins Research 2
- Pharmacology 10
- Microbial Natural Products and Biosynthesis 10
- Fungal Biology and Applications 5
- Co-authors
- Radovan Komel (13 shared papers)Ljerka Lah (7 shared papers)Jure Stojan (5 shared papers)Barbara Podobnik (4 shared papers)Gregor Anderluh (7 shared papers)Jonathan G.L. Mullins (1 shared paper)Metka Novak (6 shared papers)Diane Kelly (1 shared paper)
In The Last Decade
Nada Kraševec
30 papers receiving 665 citations
Peers
Comparison fields: 5 of 81
- Pharmacology 171
- Pharmacology 79
- Insect Science 86
- Biotechnology 54
- Cell Biology 99
Countries citing papers authored by Nada Kraševec
This map shows the geographic impact of Nada Kraševec'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 Nada Kraševec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nada Kraševec more than expected).
Fields of papers citing papers by Nada Kraševec
This network shows the impact of papers produced by Nada Kraševec. 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 Nada Kraševec. The network helps show where Nada Kraševec may publish in the future.
Co-authors
The 25 scholars most cited alongside Nada Kraševec, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 79 | |
| 2 | 2008 | 73 | |
| 3 | 2008 | 63 | |
| 4 | 2011 | 62 | |
| 5 | 2014 | 56 | |
| 6 | 2007 | 41 | |
| 7 | 2009 | 36 | |
| 8 | 2014 | 34 | |
| 9 | 2017 | 27 | |
| 10 | 2014 | 27 | |
| 11 | 2016 | 19 | |
| 12 | 2015 | 17 | |
| 13 | 2014 | 16 | |
| 14 | 2016 | 14 | |
| 15 | 2014 | 14 | |
| 16 | 2012 | 13 | |
| 17 | 2013 | 13 | |
| 18 | 2019 | 12 | |
| 19 | 2014 | 12 | |
| 20 | 2022 | 9 |
About Nada Kraševec
Nada Kraševec is a scholar working on Molecular Biology, Pharmacology, Plant Science, Insect Science and Cell Biology, having authored 31 papers that have together received 675 indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (10 papers), Fungal and yeast genetics research (5 papers), Fungal Biology and Applications (5 papers), Photosynthetic Processes and Mechanisms (3 papers), Mycorrhizal Fungi and Plant Interactions (3 papers), Forest Insect Ecology and Management (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Pharmacology (171 citations), Pharmacology (79 citations), Insect Science (86 citations), Biotechnology (54 citations) and Cell Biology (99 citations). Nada Kraševec has collaborated with scholars based in Slovenia, Canada and Ireland. Frequent co-authors include Radovan Komel, Ljerka Lah, Jure Stojan, Barbara Podobnik, Gregor Anderluh, Jonathan G.L. Mullins, Metka Novak, Diane Kelly, David R. Nelson and Sabina Berne. Their work appears in journals such as Toxins, Fungal Genetics and Biology, Pflügers Archiv - European Journal of Physiology, Molecular Microbiology and Journal of Fungi.
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.