Zsófia Lanszki
Impact in
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- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
- COVID-19 Clinical Research Studies
Papers in
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- Viral Infections and Vectors 7
- Viral gastroenteritis research and epidemiology 3
- SARS-CoV-2 and COVID-19 Research 3
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- Vector-Borne Animal Diseases 4
- Co-authors
- Gábor Kemenesi (16 shared papers)József Lanszki (9 shared papers)Ferenc Jakab (10 shared papers)Gábor Endre Tóth (8 shared papers)Győző Horváth (1 shared paper)Brigitta Zana (9 shared papers)Jenő J. Purger (4 shared papers)Anna Csiszár (1 shared paper)
- Journals
- Scientific Reports (4 papers)Animals (3 papers)GeroScience (2 papers)Transboundary and Emerging Diseases (2 papers)Frontiers in Pharmacology (1 paper)
- Partner nations
- HungaryUnited KingdomNorth Macedonia
In The Last Decade
Zsófia Lanszki
21 papers receiving 172 citations
Peers
Comparison fields: 5 of 52
- Infectious Diseases 68
- Ecological Modeling 10
- Virology 10
- Parasitology 13
- Animal Science and Zoology 19
Countries citing papers authored by Zsófia Lanszki
This map shows the geographic impact of Zsófia Lanszki'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 Zsófia Lanszki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zsófia Lanszki more than expected).
Fields of papers citing papers by Zsófia Lanszki
This network shows the impact of papers produced by Zsófia Lanszki. 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 Zsófia Lanszki. The network helps show where Zsófia Lanszki may publish in the future.
Co-authors
The 25 scholars most cited alongside Zsófia Lanszki, 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 | 2020 | 31 | |
| 2 | 2019 | 23 | |
| 3 | 2022 | 20 | |
| 4 | 2021 | 13 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 12 | |
| 7 | 2020 | 8 | |
| 8 | 2023 | 7 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Zsófia Lanszki
Zsófia Lanszki is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Ecology, Epidemiology and Animal Science and Zoology, having authored 25 papers that have together received 173 indexed citations. Recurring topics across this work include Viral Infections and Vectors (7 papers), Virology and Viral Diseases (5 papers), Wildlife Ecology and Conservation (4 papers), Vector-Borne Animal Diseases (4 papers), Animal Virus Infections Studies (4 papers), Viral gastroenteritis research and epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Animal Disease Management and Epidemiology (3 papers). The work is most often cited by research in Infectious Diseases (68 citations), Ecological Modeling (10 citations), Virology (10 citations), Parasitology (13 citations) and Animal Science and Zoology (19 citations). Zsófia Lanszki has collaborated with scholars based in Hungary, United Kingdom and North Macedonia. Frequent co-authors include Gábor Kemenesi, József Lanszki, Ferenc Jakab, Gábor Endre Tóth, Győző Horváth, Brigitta Zana, Jenő J. Purger, Anna Csiszár, Vince Fazekas‐Pongor and Gábor Földvári. Their work appears in journals such as Scientific Reports, Animals, GeroScience, Transboundary and Emerging Diseases and Frontiers in Pharmacology.
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.