Miroslav Gabriel
- Co-authors
- Marie KopeckáAugustín SvobodaMasashi YamaguchiKanji TakeoKunihiko HataMisako OhkusuPhilipp SchillingerNgo Anh Vien
- Topics
- Fungal and yeast genetics research (8 papers)Plant Pathogens and Fungal Diseases (8 papers)Yeasts and Rust Fungi Studies (7 papers)
In The Last Decade
Miroslav Gabriel
21 papers receiving 328 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 222
- Plant Science 124
- Cell Biology 109
- Epidemiology 86
- Infectious Diseases 54
Countries citing papers authored by Miroslav Gabriel
This map shows the geographic impact of Miroslav Gabriel'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 Miroslav Gabriel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miroslav Gabriel more than expected).
Fields of papers citing papers by Miroslav Gabriel
This network shows the impact of papers produced by Miroslav Gabriel. 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 Miroslav Gabriel. The network helps show where Miroslav Gabriel may publish in the future.
Co-authorship network of co-authors of Miroslav Gabriel
This figure shows the co-authorship network connecting the top 25 collaborators of Miroslav Gabriel. A scholar is included among the top collaborators of Miroslav Gabriel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miroslav Gabriel. Miroslav Gabriel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | Microtubular structures in two basidiomycetous yeasts Malassezia pachydermatis and Cryptococcus laurentii | 1 |
| 9 | Unusual ultrastructural characteristics of the yeast Malassezia pachydermatis | 3 |
| 10 | 13 | |
| 11 | Cytoskeleton in human pathogenic yeasts Cryptococcus neoformansand Aureobasidium pullulans and the effect of cytoskeletalinhibitors. | 3 |
| 12 | 42 | |
| 13 | Microtubules and actin cytoskeleton in Cryptococcus neoformanscompared with ascomycetous budding and fission yeasts | 1 |
| 14 | MORPHOLOGICAL TRANSITIONS DURING THE CELL DIVISION CYCLE OFCRYPTOCOCCUS NEOFORMANS AS REVEALED BY TRANSMISSION ELECTRONMICROSCOPY OF ULTRATHIN SECTIONS AND FREEZE-SUBSTITUTION | 5 |
| 15 | 25 | |
| 16 | 21 | |
| 17 | 24 | |
| 18 | 133 | |
| 19 | 14 | |
| 20 | 17 |
About Miroslav Gabriel
Miroslav Gabriel is a scholar working on Cell Biology, Molecular Biology and Epidemiology, having authored 21 papers that have together received 338 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (8 papers), Plant Pathogens and Fungal Diseases (8 papers) and Yeasts and Rust Fungi Studies (7 papers). The work is most often cited by research in Cell Biology (109 citations), Plant Science (124 citations) and Molecular Biology (222 citations). Miroslav Gabriel has collaborated with scholars based in Czechia, Germany and Japan. Frequent co-authors include Marie Kopecká, Augustín Svoboda, Masashi Yamaguchi, Kanji Takeo, Kunihiko Hata, Misako Ohkusu, Philipp Schillinger, Ngo Anh Vien, Junpei Ishiguro and Zehao Yu. Their work appears in journals such as Microbiology, Archives of Microbiology and Yeast.
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.