Aleš Macela
Impact in
- Virology top 5%
- Parasitology top 5%
- Vector-borne infectious diseases
Papers in
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- Bacillus and Francisella bacterial research 31
- Machine Learning in Bioinformatics 4
-
- SARS-CoV-2 and COVID-19 Research 9
- Viral gastroenteritis research and epidemiology 4
- Co-authors
- Jiří Stulík (28 shared papers)Lenka Hernychová (14 shared papers)Klára Kubelková (21 shared papers)Michal Kroča (9 shared papers)Peter R. Jungblut (6 shared papers)Zuzana Kročová (13 shared papers)Jan Bureš (6 shared papers)Jiří Knížek (6 shared papers)
In The Last Decade
Aleš Macela
63 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 96
- Virology 74
- Parasitology 92
- Infectious Diseases 207
- Immunology 192
- Molecular Biology 614
Countries citing papers authored by Aleš Macela
This map shows the geographic impact of Aleš Macela'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 Aleš Macela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aleš Macela more than expected).
Fields of papers citing papers by Aleš Macela
This network shows the impact of papers produced by Aleš Macela. 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 Aleš Macela. The network helps show where Aleš Macela may publish in the future.
Co-authors
The 25 scholars most cited alongside Aleš Macela, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 113 | |
| 2 | 1999 | 86 | |
| 3 | 2002 | 76 | |
| 4 | 2001 | 69 | |
| 5 | 1999 | 68 | |
| 6 | 2001 | 57 | |
| 7 | 2007 | 41 | |
| 8 | 2019 | 41 | |
| 9 | 2003 | 30 | |
| 10 | 2003 | 28 | |
| 11 | 2008 | 27 | |
| 12 | 2010 | 26 | |
| 13 | 2001 | 25 | |
| 14 | 2007 | 24 | |
| 15 | 2007 | 21 | |
| 16 | 1997 | 19 | |
| 17 | 2010 | 19 | |
| 18 | 1997 | 18 | |
| 19 | 2019 | 16 | |
| 20 | 2000 | 15 |
About Aleš Macela
Aleš Macela is a scholar working on Molecular Biology, Infectious Diseases, Genetics, Immunology and Ecology, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (31 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Bacteriophages and microbial interactions (9 papers), Bacterial Genetics and Biotechnology (8 papers), Yersinia bacterium, plague, ectoparasites research (8 papers), Viral gastroenteritis research and epidemiology (4 papers), Machine Learning in Bioinformatics (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Virology (74 citations), Parasitology (92 citations), Infectious Diseases (207 citations), Immunology (192 citations) and Molecular Biology (614 citations). Aleš Macela has collaborated with scholars based in Czechia, Serbia and Germany. Frequent co-authors include Jiří Stulík, Lenka Hernychová, Klára Kubelková, Michal Kroča, Peter R. Jungblut, Zuzana Kročová, Jan Bureš, Jiří Knížek, F Langr and Hana Kovářová. Their work appears in journals such as Electrophoresis, PROTEOMICS, Microbial Pathogenesis, Frontiers in Cellular and Infection Microbiology and Infection 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.