Anna Lovrics
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
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- Metal complexes synthesis and properties
Papers in
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- Gene Regulatory Network Analysis 6
- Protein Structure and Dynamics 2
- Cancer therapeutics and mechanisms 2
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- Mathematical Biology Tumor Growth 5
- Co-authors
- Dániel András Drexler (3 shared papers)Tamás Ferenci (3 shared papers)Gergely Szakács (4 shared papers)Levente Kovács (3 shared papers)András Füredi (2 shared papers)Veronika F.S. Pape (2 shared papers)Szilárd Tóth (1 shared paper)Kornélia Szebényi (1 shared paper)
- Journals
- International Journal of Chemical Kinetics (1 paper)Molecular Cancer (1 paper)Drug Metabolism and Disposition (1 paper)European Journal of Medicinal Chemistry (1 paper)Acta Polytechnica Hungarica (1 paper)
- Partner nations
- HungaryUnited KingdomAustria
In The Last Decade
Anna Lovrics
15 papers receiving 352 citations
Peers
Comparison fields: 5 of 89
- Modeling and Simulation 51
- Oncology 76
- Organic Chemistry 71
- Molecular Biology 155
- Cancer Research 29
Countries citing papers authored by Anna Lovrics
This map shows the geographic impact of Anna Lovrics'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 Lovrics with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Lovrics more than expected).
Fields of papers citing papers by Anna Lovrics
This network shows the impact of papers produced by Anna Lovrics. 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 Lovrics. The network helps show where Anna Lovrics may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Lovrics, 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 | 2016 | 97 | |
| 2 | 2012 | 53 | |
| 3 | 2019 | 46 | |
| 4 | 2016 | 33 | |
| 5 | 2006 | 28 | |
| 6 | 2014 | 22 | |
| 7 | 2020 | 20 | |
| 8 | 2019 | 17 | |
| 9 | 2008 | 12 | |
| 10 | 2025 | 11 | |
| 11 | 2019 | 7 | |
| 12 | 1978 | 7 | |
| 13 | 2019 | 3 | |
| 14 | 2016 | 3 | |
| 15 | 2012 | 2 | |
| 16 | 2024 | 0 | |
| 17 | 2017 | 0 |
About Anna Lovrics
Anna Lovrics is a scholar working on Molecular Biology, Modeling and Simulation, Cell Biology, Oncology and Computational Theory and Mathematics, having authored 17 papers that have together received 361 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (6 papers), Mathematical Biology Tumor Growth (5 papers), Drug Transport and Resistance Mechanisms (2 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers), Cellular Mechanics and Interactions (2 papers), Cancer therapeutics and mechanisms (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Modeling and Simulation (51 citations), Oncology (76 citations), Organic Chemistry (71 citations), Molecular Biology (155 citations) and Cancer Research (29 citations). Anna Lovrics has collaborated with scholars based in Hungary, United Kingdom and Austria. Frequent co-authors include Dániel András Drexler, Tamás Ferenci, Gergely Szakács, Levente Kovács, András Füredi, Veronika F.S. Pape, Szilárd Tóth, Kornélia Szebényi, Michael Wiese and Pál Szabó. Their work appears in journals such as International Journal of Chemical Kinetics, Molecular Cancer, Drug Metabolism and Disposition, European Journal of Medicinal Chemistry and Acta Polytechnica Hungarica.
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.