Anna Schachner
Impact in
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
Papers in
- Genetics 19
- Virus-based gene therapy research 18
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- Animal Virus Infections Studies 13
- Co-authors
- Michael Heß (20 shared papers)Beatrice Grafl (8 shared papers)Ana Marek (4 shared papers)Miguel Matos (1 shared paper)Evelyn Berger (4 shared papers)Barbara Jaskulska (1 shared paper)Ivana Bilić (1 shared paper)Christian Schlötterer (1 shared paper)
In The Last Decade
Anna Schachner
22 papers receiving 820 citations
Peers
Comparison fields: 5 of 36
- Animal Science and Zoology 533
- Infectious Diseases 522
- Genetics 706
- Cardiology and Cardiovascular Medicine 139
- Agronomy and Crop Science 47
Countries citing papers authored by Anna Schachner
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
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-authors
The 25 scholars most cited alongside Anna Schachner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 239 | |
| 2 | 2014 | 122 | |
| 3 | 2016 | 92 | |
| 4 | 2011 | 86 | |
| 5 | 2019 | 49 | |
| 6 | 2020 | 33 | |
| 7 | 2016 | 31 | |
| 8 | 2020 | 30 | |
| 9 | 2022 | 24 | |
| 10 | 2017 | 24 | |
| 11 | 2018 | 17 | |
| 12 | 2022 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2017 | 13 | |
| 15 | 2021 | 10 | |
| 16 | 2019 | 10 | |
| 17 | 2020 | 10 | |
| 18 | 2022 | 7 | |
| 19 | 2023 | 4 | |
| 20 | 2022 | 2 |
About Anna Schachner
Anna Schachner is a scholar working on Genetics, Animal Science and Zoology, Infectious Diseases, Epidemiology and Molecular Biology, having authored 22 papers that have together received 836 indexed citations. Recurring topics across this work include Virus-based gene therapy research (18 papers), Animal Virus Infections Studies (13 papers), Viral gastroenteritis research and epidemiology (12 papers), Herpesvirus Infections and Treatments (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Viral Infections and Immunology Research (3 papers), Animal Disease Management and Epidemiology (1 paper) and Participatory Visual Research Methods (1 paper). The work is most often cited by research in Animal Science and Zoology (533 citations), Infectious Diseases (522 citations), Genetics (706 citations), Cardiology and Cardiovascular Medicine (139 citations) and Agronomy and Crop Science (47 citations). Anna Schachner has collaborated with scholars based in Austria, Iran and Hungary. Frequent co-authors include Michael Heß, Beatrice Grafl, Ana Marek, Miguel Matos, Evelyn Berger, Barbara Jaskulska, Ivana Bilić, Christian Schlötterer, Viola Nolte and Dieter Liebhart. Their work appears in journals such as Avian Pathology, Viruses, Vaccine, Veterinary Microbiology and Avian Diseases.
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.