Beata Dolka

668 citations
31 papers · 475 · h-index 14

Impact in

    • Microbial infections and disease research
    • Antimicrobial Resistance in Staphylococcus
    • Viral gastroenteritis research and epidemiology

Papers in

Beata Dolka

28 papers receiving 463 citations

Peers

Beata Dolka
Comparison fields: 5 of 76
  • Microbiology 111
  • Infectious Diseases 201
  • Animal Science and Zoology 115
  • Clinical Biochemistry 56
  • Food Science 105
Replace Arne Jung with:
Arne Jung Germany
Jamshid Razmyar Iran
Anil Thachil United States
Øystein Angen Denmark
Mauricio A. Navarro United States
Kristin A. Clothier United States
Krzysztof Rypuła Poland
Angela Lahuerta‐Marin United Kingdom
Mats Sellin Sweden
Dorota Chrobak‐Chmiel Poland
Beata Dolka relative to Arne Jung Germany Arne Jung's profile →
Citations per field
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Citations per year

Countries citing papers authored by Beata Dolka

Since Specialization
Citations

This map shows the geographic impact of Beata Dolka'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 Dolka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beata Dolka more than expected).

Fields of papers citing papers by Beata Dolka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beata Dolka. 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 Dolka. The network helps show where Beata Dolka may publish in the future.

Co-authors

The 25 scholars most cited alongside Beata Dolka, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Beata Dolka Line = papers co-authored together Beata Dolka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020115
2 201645
3 202238
4 201732
5 201425
6 201525
7 202023
8 201721
9 202021
10 202018
11 202118
12 201515
13
First case of enterococcal spondylitis in broiler chickens in Poland.
201314
14 202113
15 202213
16 201913
17 20164
18 20154
19 20183
20 20233

About Beata Dolka

Beata Dolka is a scholar working on Infectious Diseases, Microbiology, Animal Science and Zoology, Epidemiology and Clinical Biochemistry, having authored 31 papers that have together received 475 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (12 papers), Microbial infections and disease research (11 papers), Bacterial Identification and Susceptibility Testing (6 papers), Streptococcal Infections and Treatments (4 papers), Animal Nutrition and Physiology (4 papers), Bird parasitology and diseases (3 papers), Mycobacterium research and diagnosis (3 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Microbiology (111 citations), Infectious Diseases (201 citations), Animal Science and Zoology (115 citations), Clinical Biochemistry (56 citations) and Food Science (105 citations). Beata Dolka has collaborated with scholars based in Poland, Denmark and Hungary. Frequent co-authors include P. Szeleszczuk, Monika Michalczuk, Dorota Chrobak‐Chmiel, I. Dolka, Michał Czopowicz, Artur Żbikowski, László Makrai, Agata Anna Cisek, Adnan Alrubaye and Douglas D. Rhoads. Their work appears in journals such as Animals, BMC Veterinary Research, Scientific Reports, Journal of Comparative Pathology and Veterinary Research Communications.

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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