Kinga Biernacka

415 total citations
17 papers, 312 citations indexed

About

Kinga Biernacka is a scholar working on Infectious Diseases, Animal Science and Zoology and Genetics. According to data from OpenAlex, Kinga Biernacka has authored 17 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 7 papers in Animal Science and Zoology and 6 papers in Genetics. Recurrent topics in Kinga Biernacka's work include Virus-based gene therapy research (6 papers), Animal Virus Infections Studies (6 papers) and Viral gastroenteritis research and epidemiology (5 papers). Kinga Biernacka is often cited by papers focused on Virus-based gene therapy research (6 papers), Animal Virus Infections Studies (6 papers) and Viral gastroenteritis research and epidemiology (5 papers). Kinga Biernacka collaborates with scholars based in Poland, Romania and United States. Kinga Biernacka's co-authors include Tomasz Stadejek, Aleksandra Woźniak, Dagmara Miłek, Tanja Opriessnig, Jinghui Fan, Jin Cui, Priscilla F. Gerber, Katarzyna Podgórska, Michał Czopowicz and Chao‐Ting Xiao and has published in prestigious journals such as Preventive Veterinary Medicine, Research in Veterinary Science and Transboundary and Emerging Diseases.

In The Last Decade

Kinga Biernacka

14 papers receiving 310 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kinga Biernacka Poland 8 260 216 146 111 37 17 312
Hanna Turlewicz‐Podbielska Poland 8 195 0.8× 85 0.4× 213 1.5× 35 0.3× 51 1.4× 18 317
Silvana Santander-Parra Brazil 12 248 1.0× 107 0.5× 235 1.6× 90 0.8× 19 0.5× 39 331
Franco Matías Ferreyra United States 9 150 0.6× 61 0.3× 159 1.1× 71 0.6× 24 0.6× 22 219
Yonlayong Woonwong Thailand 8 273 1.1× 214 1.0× 169 1.2× 120 1.1× 66 1.8× 18 352
Xiao-Hui Wen China 9 242 0.9× 186 0.9× 165 1.1× 100 0.9× 41 1.1× 15 302
Pariwat Poolperm Thailand 8 292 1.1× 232 1.1× 216 1.5× 79 0.7× 28 0.8× 15 326
Hanqin Shen China 10 234 0.9× 157 0.7× 195 1.3× 79 0.7× 57 1.5× 29 316
Kyuhyung Choi South Korea 13 434 1.7× 301 1.4× 358 2.5× 69 0.6× 17 0.5× 33 471
Caroline Tochetto Brazil 11 272 1.0× 179 0.8× 163 1.1× 97 0.9× 34 0.9× 20 336
Zsófia Benyeda Hungary 7 308 1.2× 117 0.5× 245 1.7× 96 0.9× 19 0.5× 18 360

Countries citing papers authored by Kinga Biernacka

Since Specialization
Citations

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

Fields of papers citing papers by Kinga Biernacka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kinga Biernacka

This figure shows the co-authorship network connecting the top 25 collaborators of Kinga Biernacka. A scholar is included among the top collaborators of Kinga Biernacka 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 Kinga Biernacka. Kinga Biernacka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Mickiewicz, Marcin, Michał Czopowicz, Agata Moroz, et al.. (2025). Inhibitory effect of dimethyl sulfoxide on the development of gastrointestinal nematode larvae in the larval development test. Journal of Veterinary Research. 69(1). 83–90. 1 indexed citations
2.
Szaluś‐Jordanow, Olga, Aleksander Masny, R. Sapierzyński, et al.. (2025). Constrictive-effusive pericarditis and epicarditis as a cause of restrictive cardiomyopathy associated with Dirofilaria repens infection in a dog. BMC Veterinary Research. 21(1). 607–607.
3.
Kwiecień, Ewelina, Ilona Stefańska, Magdalena Kizerwetter‐Świda, et al.. (2024). Genetic diversity and virulence properties of caprine Trueperella pyogenes isolates. BMC Veterinary Research. 20(1). 395–395. 2 indexed citations
4.
Kaba, Jarosław, Michał Czopowicz, Marcin Mickiewicz, et al.. (2024). Herd-level true seroprevalence of caseous lymphadenitis and paratuberculosis in the goat population of Poland. Preventive Veterinary Medicine. 230. 106278–106278. 2 indexed citations
5.
Petkevičius, Saulius, Kinga Biernacka, Marcin Mickiewicz, et al.. (2024). The herd-level prevalence of caprine arthritis-encephalitis and genetic characteristics of small ruminant lentivirus in the Lithuanian goat population. Preventive Veterinary Medicine. 233. 106363–106363.
6.
Ózsvári, László, Agata Moroz, Kinga Biernacka, et al.. (2024). First Molecular Characterization of Small Ruminant Lentiviruses in Hungarian Goat Population. Pathogens. 13(11). 939–939.
7.
Mickiewicz, Marcin, Michał Czopowicz, Agata Moroz, et al.. (2024). The herd-level prevalence of Fasciola hepatica infection in the goat population of Poland. Journal of Veterinary Research. 68(3). 373–379. 1 indexed citations
8.
Potărniche, Adrian-Valentin, Michał Czopowicz, Olga Szaluś‐Jordanow, et al.. (2023). Serological testing of an equal-volume milk sample – a new method to estimate the seroprevalence of small ruminant lentivirus infection?. BMC Veterinary Research. 19(1). 43–43. 2 indexed citations
9.
Kaba, Jarosław, Michał Czopowicz, Jacek Kuźmak, et al.. (2023). A large-scale study on the seroprevalence of small ruminant lentiviral infection in the Polish goat population. Preventive Veterinary Medicine. 213. 105885–105885. 8 indexed citations
10.
Szaluś‐Jordanow, Olga, Anna Golke, Tomasz Dzieciątkowski, et al.. (2023). A Fatal A/H5N1 Avian Influenza Virus Infection in a Cat in Poland. Microorganisms. 11(9). 2263–2263. 16 indexed citations
11.
12.
Stadejek, Tomasz, Aleksandra Woźniak, Dagmara Miłek, & Kinga Biernacka. (2017). First detection of porcine circovirus type 3 on commercial pig farms in Poland. Transboundary and Emerging Diseases. 64(5). 1350–1353. 155 indexed citations
13.
Biernacka, Kinga, Michał Czopowicz, Gyula Balka, et al.. (2016). Detection of porcine reproductive and respiratory syndrome virus (PRRSV) and influenza A virus (IAV) in oral fluid of pigs. Research in Veterinary Science. 109. 74–80. 26 indexed citations
14.
Cui, Jin, Jinghui Fan, Priscilla F. Gerber, et al.. (2016). First identification of porcine parvovirus 6 in Poland. Virus Genes. 53(1). 100–104. 24 indexed citations
15.
Fan, Jinghui, Jin Cui, Priscilla F. Gerber, et al.. (2016). First Genome Sequences of Porcine Parvovirus 5 Strains Identified in Polish Pigs. Genome Announcements. 4(5). 4 indexed citations
16.
Cui, Jin, Kinga Biernacka, Jinghui Fan, et al.. (2016). Circulation of Porcine Parvovirus Types 1 through 6 in Serum Samples Obtained from Six Commercial Polish Pig Farms. Transboundary and Emerging Diseases. 64(6). 1945–1952. 35 indexed citations
17.
Morris, Dearbháile, et al.. (2006). Outbreak of extended spectrum beta-lactamase producing E. coli in a nursing home in Ireland, May 2006. Weekly releases (1997–2007). 11(35). E060831.1–E060831.1. 10 indexed citations

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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