Beáta Flachner
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- Biochemical and Molecular Research
- Protein Kinase Regulation and GTPase Signaling
- Metabolism, Diabetes, and Cancer
Papers in
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- Protein Kinase Regulation and GTPase Signaling 8
- Protein Structure and Dynamics 6
- Chemical Synthesis and Analysis 5
- Biochemical and Molecular Research 4
- Metabolism, Diabetes, and Cancer 3
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- Enzyme Structure and Function 9
- Co-authors
- Mária Vas (10 shared papers)Andrea Varga (8 shared papers)Péter Závodszky (8 shared papers)J. Szabó (6 shared papers)Gábor Náray‐Szabó (2 shared papers)Zsolt Lőrincz (12 shared papers)Sándor Cseh (12 shared papers)István Hajdú (11 shared papers)
In The Last Decade
Beáta Flachner
25 papers receiving 369 citations
Peers
Comparison fields: 5 of 67
- Computational Theory and Mathematics 69
- Molecular Biology 298
- Biochemistry 26
- Virology 14
- Materials Chemistry 135
Countries citing papers authored by Beáta Flachner
This map shows the geographic impact of Beáta Flachner'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 Beáta Flachner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beáta Flachner more than expected).
Fields of papers citing papers by Beáta Flachner
This network shows the impact of papers produced by Beáta Flachner. 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 Beáta Flachner. The network helps show where Beáta Flachner may publish in the future.
Co-authors
The 25 scholars most cited alongside Beáta Flachner, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 41 | |
| 2 | 2005 | 26 | |
| 3 | 2010 | 26 | |
| 4 | 2006 | 26 | |
| 5 | 2002 | 25 | |
| 6 | 2005 | 24 | |
| 7 | 2008 | 22 | |
| 8 | 2014 | 20 | |
| 9 | 2012 | 18 | |
| 10 | 2001 | 18 | |
| 11 | 1999 | 18 | |
| 12 | 2009 | 14 | |
| 13 | 2016 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2017 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2008 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2008 | 8 | |
| 20 | 2015 | 5 |
About Beáta Flachner
Beáta Flachner is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Organic Chemistry and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 379 indexed citations. Recurring topics across this work include Enzyme Structure and Function (9 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (6 papers), Chemical Synthesis and Analysis (5 papers), Biochemical and Molecular Research (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Computational Theory and Mathematics (69 citations), Molecular Biology (298 citations), Biochemistry (26 citations), Virology (14 citations) and Materials Chemistry (135 citations). Beáta Flachner has collaborated with scholars based in Hungary, Russia and Germany. Frequent co-authors include Mária Vas, Andrea Varga, Péter Závodszky, J. Szabó, Gábor Náray‐Szabó, Zsolt Lőrincz, Sándor Cseh, István Hajdú, György Dormán and Petr V. Konarev. Their work appears in journals such as Biochemistry, FEBS Letters, Molecules, PLoS ONE and Molecular Diversity.
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.