Lada Biedermannová
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Enzyme Catalysis and Immobilization
- Microbial Metabolic Engineering and Bioproduction
- RNA and protein synthesis mechanisms
- Photosynthetic Processes and Mechanisms
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 10
- RNA and protein synthesis mechanisms 5
- DNA and Nucleic Acid Chemistry 4
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- Mass Spectrometry Techniques and Applications 3
- Co-authors
- Eva ChovancováArtur GóraJiřı́ DamborskýAntonín PavelkaJan BrezovskýPetr BenešVilém ŠustrJiří Sochor
- Journals
- Acta Crystallographica Section D Structural Biology (2 papers)Proteins Structure Function and Bioinformatics (2 papers)Physical Chemistry Chemical Physics (2 papers)BioMed Research International (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- CzechiaUnited KingdomUnited States
In The Last Decade
Lada Biedermannová
23 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Molecular Biology 1.2k
- Computational Theory and Mathematics 221
- Pharmacology 104
- Biochemistry 79
- Spectroscopy 164
Countries citing papers authored by Lada Biedermannová
This map shows the geographic impact of Lada Biedermannová'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 Lada Biedermannová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lada Biedermannová more than expected).
Fields of papers citing papers by Lada Biedermannová
This network shows the impact of papers produced by Lada Biedermannová. 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 Lada Biedermannová. The network helps show where Lada Biedermannová may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lada Biedermannová, 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 | 2025 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2022 | 8 | |
| 4 | 2021 | 7 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 0 | |
| 7 | 2016 | 54 | |
| 8 | 2015 | 20 | |
| 9 | 2015 | 5 | |
| 10 | 2013 | 28 | |
| 11 | 2013 | 9 | |
| 12 | 2012 | 63 | |
| 13 | 2012 | 68 | |
| 14 | CAVER 3.0: A Tool for the Analysis of Transport Pathways in Dynamic Protein Structures Hit paper breakdown → | 2012 | 1032 |
| 15 | 2011 | 32 | |
| 16 | CAVER 2.1 | 2010 | 2 |
| 17 | 2008 | 73 | |
| 18 | 2008 | 34 | |
| 19 | 2008 | 120 | |
| 20 | 2008 | 158 |
About Lada Biedermannová
Lada Biedermannová is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Enzyme Structure and Function (8 papers), RNA and protein synthesis mechanisms (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Machine Learning in Materials Science (2 papers) and Hemoglobin structure and function (2 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Computational Theory and Mathematics (221 citations), Pharmacology (104 citations), Biochemistry (79 citations) and Spectroscopy (164 citations). Lada Biedermannová has collaborated with scholars based in Czechia, United Kingdom and United States. Frequent co-authors include Eva Chovancová, Artur Góra, Jiřı́ Damborský, Antonín Pavelka, Jan Brezovský, Petr Beneš, Vilém Šustr, Jiří Sochor, Barbora Kozlíková and Ondřej Strnad. Their work appears in journals such as Acta Crystallographica Section D Structural Biology, Proteins Structure Function and Bioinformatics, Physical Chemistry Chemical Physics, BioMed Research International and Journal of Biological Chemistry.
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.