Beata Lorenc

479 total citations
24 papers, 106 citations indexed

About

Beata Lorenc is a scholar working on Hepatology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Beata Lorenc has authored 24 papers receiving a total of 106 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Hepatology, 16 papers in Epidemiology and 7 papers in Infectious Diseases. Recurrent topics in Beata Lorenc's work include Hepatitis C virus research (21 papers), Liver Disease Diagnosis and Treatment (15 papers) and Hepatitis B Virus Studies (8 papers). Beata Lorenc is often cited by papers focused on Hepatitis C virus research (21 papers), Liver Disease Diagnosis and Treatment (15 papers) and Hepatitis B Virus Studies (8 papers). Beata Lorenc collaborates with scholars based in Poland, Iran and Vietnam. Beata Lorenc's co-authors include Katarzyna Sikorska, Dorota Zarębska‐Michaluk, Robert Flisiak, Włodzimierz Mazur, Krzysztof Piotr Bielawski, Anna Piekarska, Dorota Dybowska, Magdalena Tudrujek‐Zdunek, Piotr Rzymski and Anna Parfieniuk‐Kowerda and has published in prestigious journals such as Scientific Reports, Environmental Pollution and Journal of Hepatology.

In The Last Decade

Beata Lorenc

19 papers receiving 106 citations

Peers

Beata Lorenc
Comparison fields: 5 of 36
  • Hepatology 52
  • Epidemiology 48
  • Infectious Diseases 42
  • Molecular Biology 14
  • Health, Toxicology and Mutagenesis 11
Replace Beata Bolewska with:
Beata Bolewska Poland
Ewa Talarek Poland
Dustin Bastaich United States
Zhixiong Fang China
Magdalena Tudrujek‐Zdunek Poland
Giovanni Cenderello Italy
Andrea Andolina Italy
Aimilia Karampatou Italy
Akhilesh Jha United Kingdom
P. Del Poggio Italy
Beata Bolewska Poland View profile →
Citations per field, relative to Beata Lorenc
Beata Lorenc · 1×
Citations per year, relative to Beata Lorenc
Beata Lorenc · 1×

Countries citing papers authored by Beata Lorenc

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Beata Lorenc

This figure shows the co-authorship network connecting the top 25 collaborators of Beata Lorenc. A scholar is included among the top collaborators of Beata Lorenc based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beata Lorenc. Beata Lorenc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 1
4 1
5 0
6 2
7 1
8 1
9 1
10 2
11 1
12 4
13 3
14 3
15 6
16 10
17 5
18 22
19 10
20 8

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.

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