Anna Schachner

1.2k citations
22 papers · 871 · h-index 14

Impact in

Papers in

Anna Schachner

22 papers receiving 855 citations

Peers

Anna Schachner
Comparison fields: 5 of 33
  • Animal Science and Zoology 517
  • Infectious Diseases 501
  • Genetics 732
  • Cardiology and Cardiovascular Medicine 133
  • Epidemiology 135
Replace Tuofan Li with:
Tuofan Li China
Alexander N. Zakhartchouk Canada
Ana Marek Austria
Torsten Wurm United Kingdom
C. Prusas Germany
Yanwu Wei China
Qingzhan Zhang United States
Quan Xie China
Catherine Charreyre France
J. Sarraseca Spain
Anna Schachner relative to Tuofan Li China Tuofan Li's profile →
Citations per field
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Citations per year

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-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.

Border = papers with Anna Schachner Line = papers co-authored together Anna Schachner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017249
2 2014125
3 201694
4 201187
5 201954
6 202035
7 201633
8 202031
9 202225
10 201725
11 201818
12 202215
13 201715
14 202214
15 201912
16 202011
17 202110
18 20227
19 20235
20 20242

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 871 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), Sociology and Education Studies (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Animal Science and Zoology (517 citations), Infectious Diseases (501 citations), Genetics (732 citations), Cardiology and Cardiovascular Medicine (133 citations) and Epidemiology (135 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 Lukas Endler. Their work appears in journals such as Avian Pathology, Viruses, Vaccine, Avian Diseases and Veterinary Microbiology.

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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