Beata Lorenc
Impact in
- Hepatology top 10%
- Hepatitis C virus research
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
- Hepatology 19
- Hepatitis C virus research 19
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- Hepatitis B Virus Studies 4
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Katarzyna Sikorska (6 shared papers)Dorota Zarębska‐Michaluk (19 shared papers)Robert Flisiak (22 shared papers)Włodzimierz Mazur (20 shared papers)Krzysztof Piotr Bielawski (3 shared papers)Anna Parfieniuk‐Kowerda (17 shared papers)Magdalena Tudrujek‐Zdunek (14 shared papers)Hanna Berak (16 shared papers)
In The Last Decade
Beata Lorenc
21 papers receiving 112 citations
Peers
Comparison fields: 5 of 32
- Hepatology 44
- Infectious Diseases 28
- Epidemiology 35
- Modeling and Simulation 5
- Obstetrics and Gynecology 7
Countries citing papers authored by Beata Lorenc
This map shows the geographic impact of Beata Lorenc'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 Beata Lorenc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beata Lorenc more than expected).
Fields of papers citing papers by Beata Lorenc
This network shows the impact of papers produced by Beata Lorenc. 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 Beata Lorenc. The network helps show where Beata Lorenc may publish in the future.
Co-authors
The 25 scholars most cited alongside Beata Lorenc, 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 | 2022 | 23 | |
| 2 | 2020 | 21 | |
| 3 | 2023 | 12 | |
| 4 | 2019 | 11 | |
| 5 | 2017 | 8 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 1 |
About Beata Lorenc
Beata Lorenc is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Dermatology and Neurology, having authored 25 papers that have together received 114 indexed citations. Recurring topics across this work include Hepatitis C virus research (19 papers), Hepatitis B Virus Studies (4 papers), Liver Disease Diagnosis and Treatment (4 papers), COVID-19 Clinical Research Studies (2 papers), Dermatological and COVID-19 studies (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), Viral Infections and Outbreaks Research (1 paper) and COVID-19 impact on air quality (1 paper). The work is most often cited by research in Hepatology (44 citations), Infectious Diseases (28 citations), Epidemiology (35 citations), Modeling and Simulation (5 citations) and Obstetrics and Gynecology (7 citations). Beata Lorenc has collaborated with scholars based in Poland, Vietnam and Iran. Frequent co-authors include Katarzyna Sikorska, Dorota Zarębska‐Michaluk, Robert Flisiak, Włodzimierz Mazur, Krzysztof Piotr Bielawski, Anna Parfieniuk‐Kowerda, Magdalena Tudrujek‐Zdunek, Hanna Berak, Anna Piekarska and Dorota Dybowska. Their work appears in journals such as World Journal of Gastroenterology, Journal of Hepatology, Journal of Viral Hepatitis, Journal of Clinical Medicine and Journal of Personalized Medicine.
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.