Anna Pikuła

455 citations
30 papers · 352 indexed · h-index 13

Impact in

Papers in

Anna Pikuła

28 papers receiving 349 citations

Peers

Anna Pikuła
Comparison fields: 5 of 49
  • Animal Science and Zoology 155
  • Infectious Diseases 189
  • Agronomy and Crop Science 63
  • Epidemiology 190
  • Cardiology and Cardiovascular Medicine 44
Replace Alejandro Banda with:
Alejandro Banda United States
Chantal Allée France
Baoyue Wang China
Olivier Guionie France
Xiaomei Wang China
Martine Cherbonnel France
Rosa Valle Spain
Xiumiao He China
Woo-Jin Jeon South Korea
Liliam Ríos Cuba
Anna Pikuła relative to Alejandro Banda United States Alejandro Banda's profile →
Citations per field
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Alejandro Banda · 1×
Citations per year

Countries citing papers authored by Anna Pikuła

Since Specialization
Citations

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

Fields of papers citing papers by Anna Pikuła

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anna Pikuła, 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 Anna Pikuła Line = papers co-authored together Anna Pikuła links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20238
3 20234
4 20223
5 201917
6 201811
7 201835
8 201731
9 201719
10 201711
11 201536
12 201426
13 201412
14
Analiza rozpowszechnienia stosowania leków z grupy OTC wśród studentów AWF w Białej Podlaskiej
20121
15 201114
16 201114
17 20101
18
Disordered eating attitudes in Polish medical students
20042
19
The occurrence of addictions among high school students.
20041
20
Interaction between local anesthetics and centrally acting antihypertensive drugs.
20024

About Anna Pikuła

Anna Pikuła is a scholar working on Animal Science and Zoology, Infectious Diseases, Agronomy and Crop Science, Epidemiology and Developmental Neuroscience, having authored 30 papers that have together received 352 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (12 papers), Animal Virus Infections Studies (10 papers), Virology and Viral Diseases (7 papers), Animal Disease Management and Epidemiology (6 papers), Influenza Virus Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Mosquito-borne diseases and control (3 papers) and Nutrition and Health Studies (3 papers). The work is most often cited by research in Animal Science and Zoology (155 citations), Infectious Diseases (189 citations), Agronomy and Crop Science (63 citations), Epidemiology (190 citations) and Cardiology and Cardiovascular Medicine (44 citations). Anna Pikuła has collaborated with scholars based in Poland, United States and Belgium. Frequent co-authors include Katarzyna Domańska-Blicharz, Anna Lisowska, Krzysztof Śmietanka, Zenon Minta, Lester J. Pérez, Alice Fusaro, Bożena Króliczewska, Włodzimierz Meissner, Grzegorz Tomczyk and Łukasz Bocian. Their work appears in journals such as Avian Pathology, Viruses, Pathogens, Virus Research 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.

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