Beatrice Grafl
Impact in
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies
- Coccidia and coccidiosis research
- Animal Nutrition and Physiology
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
Papers in
-
- Animal Virus Infections Studies 11
- Coccidia and coccidiosis research 9
- Genetics 14
- Virus-based gene therapy research 14
- Co-authors
- Michael Heß (26 shared papers)Anna Schachner (8 shared papers)Miguel Matos (4 shared papers)Dieter Liebhart (17 shared papers)Ana Marek (3 shared papers)Evelyn Berger (3 shared papers)Josef Bachmeier (2 shared papers)Claudia Hess (5 shared papers)
In The Last Decade
Beatrice Grafl
35 papers receiving 955 citations
Peers
Comparison fields: 5 of 49
- Animal Science and Zoology 644
- Infectious Diseases 467
- Genetics 588
- Small Animals 119
- Parasitology 64
Countries citing papers authored by Beatrice Grafl
This map shows the geographic impact of Beatrice Grafl'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 Beatrice Grafl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beatrice Grafl more than expected).
Fields of papers citing papers by Beatrice Grafl
This network shows the impact of papers produced by Beatrice Grafl. 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 Beatrice Grafl. The network helps show where Beatrice Grafl may publish in the future.
Co-authors
The 25 scholars most cited alongside Beatrice Grafl, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 249 | |
| 2 | 2012 | 102 | |
| 3 | 2016 | 94 | |
| 4 | 2012 | 63 | |
| 5 | 2016 | 50 | |
| 6 | 2017 | 41 | |
| 7 | 2020 | 35 | |
| 8 | 2013 | 33 | |
| 9 | 2013 | 31 | |
| 10 | 2011 | 26 | |
| 11 | 2016 | 26 | |
| 12 | 2014 | 24 | |
| 13 | 2019 | 23 | |
| 14 | 2020 | 18 | |
| 15 | 2019 | 16 | |
| 16 | 2017 | 15 | |
| 17 | 2023 | 12 | |
| 18 | 2019 | 12 | |
| 19 | 2017 | 12 | |
| 20 | 2021 | 11 |
About Beatrice Grafl
Beatrice Grafl is a scholar working on Animal Science and Zoology, Genetics, Infectious Diseases, Epidemiology and Small Animals, having authored 35 papers that have together received 983 indexed citations. Recurring topics across this work include Virus-based gene therapy research (14 papers), Viral gastroenteritis research and epidemiology (11 papers), Animal Virus Infections Studies (11 papers), Coccidia and coccidiosis research (9 papers), Herpesvirus Infections and Treatments (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Viral Infections and Immunology Research (5 papers) and Veterinary medicine and infectious diseases (5 papers). The work is most often cited by research in Animal Science and Zoology (644 citations), Infectious Diseases (467 citations), Genetics (588 citations), Small Animals (119 citations) and Parasitology (64 citations). Beatrice Grafl has collaborated with scholars based in Austria, Iran and Germany. Frequent co-authors include Michael Heß, Anna Schachner, Miguel Matos, Dieter Liebhart, Ana Marek, Evelyn Berger, Josef Bachmeier, Claudia Hess, Ivana Bilić and Alexander Tichy. Their work appears in journals such as Avian Pathology, Avian Diseases, Veterinary Research, Parasites & Vectors 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.