Anna Herrmannová
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- RNA regulation and disease
- CRISPR and Genetic Engineering
- Polyamine Metabolism and Applications
Papers in
-
- RNA and protein synthesis mechanisms 17
- RNA Research and Splicing 13
- RNA modifications and cancer 12
- RNA regulation and disease 6
- CRISPR and Genetic Engineering 2
- Photosynthetic Processes and Mechanisms 1
- Ecology 1
- Co-authors
- Leoš Shivaya Valášek (18 shared papers)Susan Wagner (13 shared papers)Lucie Cuchalová (3 shared papers)Alan G. Hinnebusch (3 shared papers)Stanislava Gunišová (5 shared papers)Edit Rutkai (2 shared papers)Vladislava Hronová (3 shared papers)Peter J. Lukavsky (2 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Molecular and Cellular Biology (3 papers)eLife (2 papers)Molecular Cell (1 paper)Cell Reports (1 paper)
- Partner nations
- CzechiaBelarusUnited States
In The Last Decade
Anna Herrmannová
19 papers receiving 872 citations
Peers
Comparison fields: 5 of 54
- Molecular Biology 805
- Endocrinology 17
- Cancer Research 37
- Cell Biology 40
- Aging 4
Countries citing papers authored by Anna Herrmannová
This map shows the geographic impact of Anna Herrmannová'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 Anna Herrmannová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Herrmannová more than expected).
Fields of papers citing papers by Anna Herrmannová
This network shows the impact of papers produced by Anna Herrmannová. 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 Anna Herrmannová. The network helps show where Anna Herrmannová may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Herrmannová, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 111 | |
| 2 | 2017 | 107 | |
| 3 | 2020 | 99 | |
| 4 | 2010 | 88 | |
| 5 | 2010 | 76 | |
| 6 | 2010 | 74 | |
| 7 | 2016 | 67 | |
| 8 | 2014 | 66 | |
| 9 | 2011 | 60 | |
| 10 | 2012 | 29 | |
| 11 | 2019 | 26 | |
| 12 | 2018 | 23 | |
| 13 | 2022 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2024 | 9 | |
| 16 | 2024 | 5 | |
| 17 | 2016 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2024 | 2 |
About Anna Herrmannová
Anna Herrmannová is a scholar working on Molecular Biology, Ecology, Cell Biology, Genetics and Endocrinology, having authored 19 papers that have together received 874 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (17 papers), RNA Research and Splicing (13 papers), RNA modifications and cancer (12 papers), RNA regulation and disease (6 papers), CRISPR and Genetic Engineering (2 papers), Plant Molecular Biology Research (1 paper), Photosynthetic Processes and Mechanisms (1 paper) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Molecular Biology (805 citations), Endocrinology (17 citations), Cancer Research (37 citations), Cell Biology (40 citations) and Aging (4 citations). Anna Herrmannová has collaborated with scholars based in Czechia, Belarus and United States. Frequent co-authors include Leoš Shivaya Valášek, Susan Wagner, Lucie Cuchalová, Alan G. Hinnebusch, Stanislava Gunišová, Edit Rutkai, Vladislava Hronová, Peter J. Lukavsky, Jakub Zeman and Tomáš Kouba. Their work appears in journals such as Nucleic Acids Research, Molecular and Cellular Biology, eLife, Molecular Cell and Cell Reports.
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.