Tomáš Brůna
- Molecular Biology top 10%
- Plant Science top 5%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 5%
- Ecology top 10%
- Co-authors
- Mark BorodovskyAlexandre LomsadzeKatharina J. HoffMario StankeLars GabrielMatthis EbelSteffen HerboldHeng Li
- Topics
- Genomics and Phylogenetic Studies (10 papers)RNA and protein synthesis mechanisms (5 papers)Machine Learning in Bioinformatics (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Plant JournalGenome Research
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Tomáš Brůna
10 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Molecular Biology 869
- Plant Science 638
- Genetics 345
- Ecology, Evolution, Behavior and Systematics 243
- Ecology 236
Countries citing papers authored by Tomáš Brůna
This map shows the geographic impact of Tomáš Brůna'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 Tomáš Brůna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomáš Brůna more than expected).
Fields of papers citing papers by Tomáš Brůna
This network shows the impact of papers produced by Tomáš Brůna. 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 Tomáš Brůna. The network helps show where Tomáš Brůna may publish in the future.
Co-authorship network of co-authors of Tomáš Brůna
This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Brůna. A scholar is included among the top collaborators of Tomáš Brůna 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 Tomáš Brůna. Tomáš Brůna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 35 | |
| 7 | BRAKER3: Fully automated genome annotation using RNA-seq and protein evidence with GeneMark-ETP, AUGUSTUS, and TSEBRAbreakdown → | 172 |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 35 | |
| 11 | BRAKER2: automatic eukaryotic genome annotation with GeneMark-EP+ and AUGUSTUS supported by a protein databasebreakdown → | 803 |
| 12 | 167 | |
| 13 | GeneMark-EP+: eukaryotic gene prediction with self-training in the space of genes and proteinsbreakdown → | 315 |
| 14 | 5 |
About Tomáš Brůna
Tomáš Brůna is a scholar working on Plant Science, Molecular Biology and Ecology, having authored 14 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), RNA and protein synthesis mechanisms (5 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Horticulture (18 citations), Plant Science (638 citations) and Insect Science (204 citations). Tomáš Brůna has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Mark Borodovsky, Alexandre Lomsadze, Katharina J. Hoff, Mario Stanke, Lars Gabriel, Matthis Ebel, Steffen Herbold, Heng Li, Natalia Nenasheva and Joseph Guhlin. Their work appears in journals such as SHILAP Revista de lepidopterología, The Plant Journal and Genome Research.
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.