Anna Schachner

1.1k total citations
22 papers, 836 citations indexed

About

Anna Schachner is a scholar working on Genetics, Animal Science and Zoology and Infectious Diseases. According to data from OpenAlex, Anna Schachner has authored 22 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Genetics, 13 papers in Animal Science and Zoology and 12 papers in Infectious Diseases. Recurrent topics in Anna Schachner's work include Virus-based gene therapy research (18 papers), Animal Virus Infections Studies (13 papers) and Viral gastroenteritis research and epidemiology (12 papers). Anna Schachner is often cited by papers focused on Virus-based gene therapy research (18 papers), Animal Virus Infections Studies (13 papers) and Viral gastroenteritis research and epidemiology (12 papers). Anna Schachner collaborates with scholars based in Austria, Iran and Hungary. Anna Schachner's co-authors include Michael Heß, Beatrice Grafl, Ana Marek, Miguel Matos, Evelyn Berger, Barbara Jaskulska, Ivana Bilić, Viola Nolte, Christian Schlötterer and Dieter Liebhart and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Immunology and Journal of General Virology.

In The Last Decade

Anna Schachner

22 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Schachner Austria 14 706 533 522 214 139 22 836
Ana Marek Austria 13 620 0.9× 494 0.9× 554 1.1× 221 1.0× 140 1.0× 16 881
Lan‐Lan Zheng China 16 359 0.5× 487 0.9× 346 0.7× 59 0.3× 191 1.4× 42 618
Yanwu Wei China 16 410 0.6× 597 1.1× 408 0.8× 67 0.3× 256 1.8× 47 717
Hongli Wu China 15 347 0.5× 423 0.8× 292 0.6× 117 0.5× 183 1.3× 30 596
C. Prusas Germany 11 325 0.5× 265 0.5× 307 0.6× 112 0.5× 75 0.5× 19 516
Tuofan Li China 16 285 0.4× 266 0.5× 258 0.5× 185 0.9× 86 0.6× 42 541
Alexander N. Zakhartchouk Canada 14 343 0.5× 336 0.6× 470 0.9× 196 0.9× 39 0.3× 26 715
Hiep L. X. Vu United States 13 331 0.5× 462 0.9× 536 1.0× 57 0.3× 80 0.6× 43 712
Ningyi Jin China 14 297 0.4× 304 0.6× 238 0.5× 80 0.4× 113 0.8× 50 542
Qingzhan Zhang United States 9 340 0.5× 515 1.0× 449 0.9× 57 0.3× 81 0.6× 14 704

Countries citing papers authored by Anna Schachner

Since Specialization
Citations

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

Fields of papers citing papers by Anna Schachner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Schachner

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Schachner. A scholar is included among the top collaborators of Anna Schachner 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 Anna Schachner. Anna Schachner 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
1.
Dremsek, Paul, Anna Schachner, Elisabeth Krampl‐Bettelheim, et al.. (2024). Retrospective study on the utility of optical genome mapping as a follow-up method in genetic diagnostics. Journal of Medical Genetics. 62(2). 89–96. 2 indexed citations
6.
Kaján, Győző L., Anna Schachner, Ákos Gellért, & Michael Heß. (2022). Species Fowl aviadenovirus B Consists of a Single Serotype despite Genetic Distance of FAdV-5 Isolates. Viruses. 14(2). 248–248. 7 indexed citations
8.
Grafl, Beatrice, et al.. (2021). Reduced Performance Due to Adenoviral Gizzard Erosion in 16-Day-Old Commercial Broiler Chickens in Iran, Confirmed Experimentally. Frontiers in Veterinary Science. 8. 635186–635186. 10 indexed citations
10.
Schachner, Anna, Beatrice Grafl, & Michael Heß. (2020). Spotlight on avian pathology: fowl adenovirus (FAdV) in chickens and beyond – an unresolved host-pathogen interplay. Avian Pathology. 50(1). 2–5. 33 indexed citations
11.
Schachner, Anna, Gabriel González, Lukas Endler, Kimihito Ito, & Michael Heß. (2019). Fowl Adenovirus (FAdV) Recombination with Intertypic Crossovers in Genomes of FAdV-D and FAdV-E, Displaying Hybrid Serological Phenotypes. Viruses. 11(12). 1094–1094. 49 indexed citations
12.
Asasi, K., et al.. (2019). Gizzard Erosion Associated with Fowl Adenovirus Infection in Slaughtered Broiler Chickens in Iran. Avian Diseases. 63(4). 568–568. 10 indexed citations
15.
17.
Marek, Ana, Győző L. Kaján, Carolin Kosiol, et al.. (2016). Genetic diversity of species Fowl aviadenovirus D and Fowl aviadenovirus E. Journal of General Virology. 97(9). 2323–2332. 31 indexed citations
18.
Schachner, Anna, Ana Marek, Barbara Jaskulska, Ivana Bilić, & Michael Heß. (2014). Recombinant FAdV-4 fiber-2 protein protects chickens against hepatitis–hydropericardium syndrome (HHS). Vaccine. 32(9). 1086–1092. 122 indexed citations
20.
Marek, Ana, Viola Nolte, Anna Schachner, et al.. (2011). Two fiber genes of nearly equal lengths are a common and distinctive feature of Fowl adenovirus C members. Veterinary Microbiology. 156(3-4). 411–417. 86 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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