Dénes Berta
Impact in
- Virology top 10%
- HIV Research and Treatment
-
- HIV/AIDS drug development and treatment
Papers in
-
- Protein Structure and Dynamics 2
- Protein Kinase Regulation and GTPase Signaling 2
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- Synthetic Organic Chemistry Methods 3
- Co-authors
- Edina Rosta (13 shared papers)Walter Kölch (1 shared paper)Ádám Madarász (4 shared papers)Tamás Földes (5 shared papers)Imre Pápai (4 shared papers)Jeremy J. Baumberg (3 shared papers)Demelza Wright (2 shared papers)Jack Griffiths (2 shared papers)
- Journals
- Journal of Chemical Theory and Computation (4 papers)Journal of the American Chemical Society (2 papers)ACS Catalysis (2 papers)Nature Communications (2 papers)Chemical Science (1 paper)
- Partner nations
- United KingdomHungaryGermany
In The Last Decade
Dénes Berta
19 papers receiving 499 citations
Peers
Comparison fields: 5 of 80
- Virology 49
- Infectious Diseases 70
- Organic Chemistry 117
- Electrochemistry 20
- Molecular Biology 213
Countries citing papers authored by Dénes Berta
This map shows the geographic impact of Dénes Berta'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 Dénes Berta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dénes Berta more than expected).
Fields of papers citing papers by Dénes Berta
This network shows the impact of papers produced by Dénes Berta. 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 Dénes Berta. The network helps show where Dénes Berta may publish in the future.
Co-authors
The 25 scholars most cited alongside Dénes Berta, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2021 | 64 | |
| 3 | 2023 | 53 | |
| 4 | 2021 | 36 | |
| 5 | 2020 | 31 | |
| 6 | 2020 | 28 | |
| 7 | 2016 | 28 | |
| 8 | 2015 | 27 | |
| 9 | 2020 | 27 | |
| 10 | 2020 | 24 | |
| 11 | 2022 | 22 | |
| 12 | 2021 | 18 | |
| 13 | 2019 | 15 | |
| 14 | 2020 | 13 | |
| 15 | 2023 | 13 | |
| 16 | 2021 | 10 | |
| 17 | 2015 | 8 | |
| 18 | 2020 | 6 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 0 |
About Dénes Berta
Dénes Berta is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 21 papers that have together received 502 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Advanced Chemical Physics Studies (3 papers), Asymmetric Hydrogenation and Catalysis (3 papers), Enzyme Structure and Function (3 papers), Synthetic Organic Chemistry Methods (3 papers), Protein Structure and Dynamics (2 papers), HIV/AIDS drug development and treatment (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Virology (49 citations), Infectious Diseases (70 citations), Organic Chemistry (117 citations), Electrochemistry (20 citations) and Molecular Biology (213 citations). Dénes Berta has collaborated with scholars based in United Kingdom, Hungary and Germany. Frequent co-authors include Edina Rosta, Walter Kölch, Ádám Madarász, Tamás Földes, Imre Pápai, Jeremy J. Baumberg, Demelza Wright, Jack Griffiths, Charlie Readman and Robert S. Paton. Their work appears in journals such as Journal of Chemical Theory and Computation, Journal of the American Chemical Society, ACS Catalysis, Nature Communications and Chemical Science.
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.