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 21
- Hepatitis C virus research 21
- Liver Disease and Transplantation 2
- Epidemiology 16
- Liver Disease Diagnosis and Treatment 15
- Hepatitis B Virus Studies 8
- Co-authors
- Katarzyna Sikorska (6 shared papers)Dorota Zarębska‐Michaluk (18 shared papers)Robert Flisiak (21 shared papers)Krzysztof Piotr Bielawski (3 shared papers)Włodzimierz Mazur (19 shared papers)Anna Piekarska (14 shared papers)Anna Parfieniuk‐Kowerda (16 shared papers)Dorota Dybowska (16 shared papers)
In The Last Decade
Beata Lorenc
19 papers receiving 106 citations
Peers
Comparison fields: 5 of 36
- Hepatology 52
- Infectious Diseases 42
- Epidemiology 48
- Obstetrics and Gynecology 9
- Modeling and Simulation 4
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 22 | |
| 2 | 2020 | 21 | |
| 3 | 2019 | 10 | |
| 4 | 2023 | 10 | |
| 5 | 2017 | 8 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 3 | |
| 12 | 2024 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2024 | 0 |
About Beata Lorenc
Beata Lorenc is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Rheumatology and Molecular Biology, having authored 24 papers that have together received 106 indexed citations. Recurring topics across this work include Hepatitis C virus research (21 papers), Liver Disease Diagnosis and Treatment (15 papers), Hepatitis B Virus Studies (8 papers), HIV/AIDS drug development and treatment (5 papers), Systemic Lupus Erythematosus Research (4 papers), COVID-19 Clinical Research Studies (2 papers), Liver Disease and Transplantation (2 papers) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Hepatology (52 citations), Infectious Diseases (42 citations), Epidemiology (48 citations), Obstetrics and Gynecology (9 citations) and Modeling and Simulation (4 citations). Beata Lorenc has collaborated with scholars based in Poland, Iran and Vietnam. Frequent co-authors include Katarzyna Sikorska, Dorota Zarębska‐Michaluk, Robert Flisiak, Krzysztof Piotr Bielawski, Włodzimierz Mazur, Anna Piekarska, Anna Parfieniuk‐Kowerda, Dorota Dybowska, Magdalena Tudrujek‐Zdunek and Beata Bolewska. Their work appears in journals such as World Journal of Gastroenterology, Journal of Clinical Medicine, Journal of Viral Hepatitis, Journal of Personalized Medicine and Scientific Reports.
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.