Maša Čemažar
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Biotechnology top 5%
- Transgenic Plants and Applications
Papers in
-
- Biochemical and Structural Characterization 18
- Chemical Synthesis and Analysis 7
- Glycosylation and Glycoproteins Research 5
- Protein Structure and Dynamics 3
- RNA regulation and disease 2
- Immunology 10
- Toxin Mechanisms and Immunotoxins 10
- Co-authors
- David J. Craik (17 shared papers)Norelle L. Daly (6 shared papers)Christian W. Gruber (6 shared papers)Begoña Heras (2 shared papers)Jennifer L. Martin (2 shared papers)Conan K. Wang (3 shared papers)Sotir Zahariev (7 shared papers)Oliviero Carugo (3 shared papers)
In The Last Decade
Maša Čemažar
29 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Microbiology 143
- Biotechnology 156
- Molecular Biology 1.2k
- Immunology 309
- Cell Biology 188
Countries citing papers authored by Maša Čemažar
This map shows the geographic impact of Maša Čemažar'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 Maša Čemažar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maša Čemažar more than expected).
Fields of papers citing papers by Maša Čemažar
This network shows the impact of papers produced by Maša Čemažar. 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 Maša Čemažar. The network helps show where Maša Čemažar may publish in the future.
Co-authors
The 25 scholars most cited alongside Maša Čemažar, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 271 | |
| 2 | 2006 | 124 | |
| 3 | 2013 | 120 | |
| 4 | 2007 | 100 | |
| 5 | 2003 | 98 | |
| 6 | The cyclotides and related macrocyclic peptides as scaffolds in drug design. | 2006 | 97 |
| 7 | 2012 | 95 | |
| 8 | 2007 | 55 | |
| 9 | 2003 | 50 | |
| 10 | The chemistry and biology of cyclotides. | 2007 | 46 |
| 11 | 2006 | 39 | |
| 12 | 2007 | 37 | |
| 13 | 2000 | 36 | |
| 14 | 2011 | 35 | |
| 15 | 2008 | 27 | |
| 16 | 2004 | 27 | |
| 17 | 2012 | 24 | |
| 18 | 2007 | 23 | |
| 19 | 2004 | 20 | |
| 20 | 2006 | 19 |
About Maša Čemažar
Maša Čemažar is a scholar working on Molecular Biology, Immunology, Plant Science, Organic Chemistry and Biotechnology, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biochemical and Structural Characterization (18 papers), Toxin Mechanisms and Immunotoxins (10 papers), Phytoplasmas and Hemiptera pathogens (7 papers), Chemical Synthesis and Analysis (7 papers), Glycosylation and Glycoproteins Research (5 papers), Transgenic Plants and Applications (3 papers), Protein Structure and Dynamics (3 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Microbiology (143 citations), Biotechnology (156 citations), Molecular Biology (1.2k citations), Immunology (309 citations) and Cell Biology (188 citations). Maša Čemažar has collaborated with scholars based in Australia, Italy and Hungary. Frequent co-authors include David J. Craik, Norelle L. Daly, Christian W. Gruber, Begoña Heras, Jennifer L. Martin, Conan K. Wang, Sotir Zahariev, Oliviero Carugo, Joshua S. Mylne and Joakim E. Swedberg. Their work appears in journals such as Journal of Biological Chemistry, Tetrahedron Letters, Biopolymers, Current Topics in Medicinal Chemistry and Journal of Biomolecular NMR.
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.