Aniko Zsak

672 total citations
9 papers, 549 citations indexed

About

Aniko Zsak is a scholar working on Epidemiology, Agronomy and Crop Science and Virology. According to data from OpenAlex, Aniko Zsak has authored 9 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Agronomy and Crop Science and 2 papers in Virology. Recurrent topics in Aniko Zsak's work include Animal Disease Management and Epidemiology (6 papers), Influenza Virus Research Studies (5 papers) and Respiratory viral infections research (3 papers). Aniko Zsak is often cited by papers focused on Animal Disease Management and Epidemiology (6 papers), Influenza Virus Research Studies (5 papers) and Respiratory viral infections research (3 papers). Aniko Zsak collaborates with scholars based in United States, France and Jordan. Aniko Zsak's co-authors include Darrell R. Kapczynski, Daniel L. Rock, G. F. Kutish, Zhiqiang Lu, Claudio L. Afonso, Laszlo Zsak, Klaudia Chrząstek, J. D. Callahan, Guillermo R. Risatti and Manuel V. Borca and has published in prestigious journals such as Journal of Virology, Journal of Clinical Microbiology and Virology.

In The Last Decade

Aniko Zsak

9 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aniko Zsak United States 8 248 235 168 141 120 9 549
Veljko Nikolin Germany 11 274 1.1× 329 1.4× 192 1.1× 279 2.0× 100 0.8× 13 680
Semmannan Kalaiyarasu India 12 221 0.9× 152 0.6× 133 0.8× 101 0.7× 205 1.7× 37 504
Tirumala Bharani K. Settypalli Austria 14 245 1.0× 197 0.8× 117 0.7× 167 1.2× 227 1.9× 48 539
B. Makoschey Germany 14 280 1.1× 302 1.3× 312 1.9× 257 1.8× 120 1.0× 46 760
H.K. Pradhan India 13 301 1.2× 250 1.1× 271 1.6× 94 0.7× 87 0.7× 39 597
Edviges Maristela Pituco Brazil 13 289 1.2× 410 1.7× 156 0.9× 394 2.8× 168 1.4× 86 762
Martha Yami Ethiopia 11 137 0.6× 261 1.1× 73 0.4× 234 1.7× 121 1.0× 16 455
Andrea Vögtlin Switzerland 14 199 0.8× 143 0.6× 171 1.0× 145 1.0× 79 0.7× 31 542
Daniel Gizaw Ethiopia 12 174 0.7× 348 1.5× 117 0.7× 351 2.5× 84 0.7× 26 574
Niranjan Mishra India 16 192 0.8× 454 1.9× 237 1.4× 325 2.3× 210 1.8× 49 774

Countries citing papers authored by Aniko Zsak

Since Specialization
Citations

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

Fields of papers citing papers by Aniko Zsak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aniko Zsak

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

All Works

9 of 9 papers shown
1.
Kapczynski, Darrell R., Klaudia Chrząstek, Revathi Shanmugasundaram, et al.. (2023). Efficacy of recombinant H5 vaccines delivered in ovo or day of age in commercial broilers against the 2015 U.S. H5N2 clade 2.3.4.4c highly pathogenic avian Influenza virus. Virology Journal. 20(1). 298–298. 2 indexed citations
3.
Pushko, Peter, Irina Tretyakova, Rachmat Hidajat, et al.. (2016). Virus-like particles displaying H5, H7, H9 hemagglutinins and N1 neuraminidase elicit protective immunity to heterologous avian influenza viruses in chickens. Virology. 501. 176–182. 46 indexed citations
4.
Kapczynski, Darrell R., Terrence M. Tumpey, Rachmat Hidajat, et al.. (2016). Vaccination with virus-like particles containing H5 antigens from three H5N1 clades protects chickens from H5N1 and H5N8 influenza viruses. Vaccine. 34(13). 1575–1581. 34 indexed citations
5.
Costa-Hurtado, Mar, Claudio L. Afonso, Patti J. Miller, et al.. (2014). Virus interference between H7N2 low pathogenic avian influenza virus and lentogenic Newcastle disease virus in experimental co-infections in chickens and turkeys. Veterinary Research. 45(1). 1–1. 122 indexed citations
6.
Chang, Annie, Laszlo Zsak, Yanan Feng, et al.. (2006). Phenotype-Based Identification of Host Genes Required for Replication of African Swine Fever Virus. Journal of Virology. 80(17). 8705–8717. 18 indexed citations
7.
Zsak, Laszlo, Manuel V. Borca, Guillermo R. Risatti, et al.. (2005). Preclinical Diagnosis of African Swine Fever in Contact-Exposed Swine by a Real-Time PCR Assay. Journal of Clinical Microbiology. 43(1). 112–119. 148 indexed citations
8.
Afonso, Claudio L., Gustavo Delhon, E. R. Tulman, et al.. (2004). Genome of Deerpox Virus. Journal of Virology. 79(2). 966–977. 50 indexed citations
9.
Kara, Pravesh, Claudio L. Afonso, David B. Wallace, et al.. (2003). Comparative sequence analysis of the South African vaccine strain and two virulent field isolates of Lumpy skin disease virus. Archives of Virology. 148(7). 1335–1356. 88 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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