Z. Kučerová
Impact in
- Microbiology top 1%
- Microbial infections and disease research
- Spectroscopy top 5%
- Analytical Chemistry and Chromatography
Papers in
-
- Protein purification and stability 20
- Glycosylation and Glycoproteins Research 18
- Protein Hydrolysis and Bioactive Peptides 8
- Microbiology 20
- Microbial infections and disease research 20
- Co-authors
- Kateřína Nedbalcová (17 shared papers)Marie Tichá (16 shared papers)Zoran Jaglic (11 shared papers)Pavel Jandera (4 shared papers)Kateřina Nechvátalová (7 shared papers)Daniel Horák (5 shared papers)Martin Faldyna (9 shared papers)Jiřı́ Urban (2 shared papers)
In The Last Decade
Z. Kučerová
65 papers receiving 753 citations
Peers
Comparison fields: 5 of 81
- Microbiology 281
- Spectroscopy 165
- Virology 43
- Animal Science and Zoology 79
- Immunology 105
Countries citing papers authored by Z. Kučerová
This map shows the geographic impact of Z. Kučerová'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 Z. Kučerová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Z. Kučerová more than expected).
Fields of papers citing papers by Z. Kučerová
This network shows the impact of papers produced by Z. Kučerová. 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 Z. Kučerová. The network helps show where Z. Kučerová may publish in the future.
Co-authors
The 25 scholars most cited alongside Z. Kučerová, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 55 | |
| 2 | 2011 | 40 | |
| 3 | 2007 | 39 | |
| 4 | 2007 | 31 | |
| 5 | 2012 | 30 | |
| 6 | 2007 | 28 | |
| 7 | 2004 | 26 | |
| 8 | 2013 | 26 | |
| 9 | 2011 | 22 | |
| 10 | 2013 | 21 | |
| 11 | 2006 | 21 | |
| 12 | 2013 | 21 | |
| 13 | 1996 | 20 | |
| 14 | 2010 | 20 | |
| 15 | 2005 | 20 | |
| 16 | 2010 | 18 | |
| 17 | 2011 | 18 | |
| 18 | 2001 | 17 | |
| 19 | 2014 | 16 | |
| 20 | 2005 | 15 |
About Z. Kučerová
Z. Kučerová is a scholar working on Molecular Biology, Microbiology, Spectroscopy, Immunology and Ecology, having authored 67 papers that have together received 775 indexed citations. Recurring topics across this work include Protein purification and stability (20 papers), Microbial infections and disease research (20 papers), Glycosylation and Glycoproteins Research (18 papers), Advanced Proteomics Techniques and Applications (9 papers), Protein Hydrolysis and Bioactive Peptides (8 papers), Bacteriophages and microbial interactions (8 papers), Aquaculture disease management and microbiota (8 papers) and Rabies epidemiology and control (7 papers). The work is most often cited by research in Microbiology (281 citations), Spectroscopy (165 citations), Virology (43 citations), Animal Science and Zoology (79 citations) and Immunology (105 citations). Z. Kučerová has collaborated with scholars based in Czechia, Poland and France. Frequent co-authors include Kateřína Nedbalcová, Marie Tichá, Zoran Jaglic, Pavel Jandera, Kateřina Nechvátalová, Daniel Horák, Martin Faldyna, Jiřı́ Urban, Petr Šatrán and Lenka Levá. Their work appears in journals such as Journal of Separation Science, Journal of Chromatography A, Journal of Chromatography B, Veterinary Microbiology and Electrophoresis.
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.