B. Mayr
Impact in
- Genetics top 2%
- Animal Genetics and Reproduction
- Virus-based gene therapy research
- Genetic diversity and population structure
- Genetic Mapping and Diversity in Plants and Animals
- Plant Science top 5%
- Chromosomal and Genetic Variations
Papers in ⓘ
- Genetics 69
- Animal Genetics and Reproduction 32
- Virus-based gene therapy research 18
- Genetic Mapping and Diversity in Plants and Animals 18
- Co-authors
- W. Schleger (54 shared papers)M. Kalat (23 shared papers)M. Reifinger (34 shared papers)Dieter Schweizer (7 shared papers)Petr Ráb (6 shared papers)H. Auer (14 shared papers)G. Schaffner (12 shared papers)K. Schellander (9 shared papers)
In The Last Decade
B. Mayr
119 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 71
- Genetics 887
- Plant Science 654
- Small Animals 101
- Molecular Biology 732
- Pulmonary and Respiratory Medicine 347
Countries citing papers authored by B. Mayr
This map shows the geographic impact of B. Mayr'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 B. Mayr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Mayr more than expected).
Fields of papers citing papers by B. Mayr
This network shows the impact of papers produced by B. Mayr. 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 B. Mayr. The network helps show where B. Mayr may publish in the future.
Co-authors
The 25 scholars most cited alongside B. Mayr, 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 71 | |
| 2 | 1986 | 64 | |
| 3 | 1996 | 62 | |
| 4 | 1987 | 52 | |
| 5 | 1985 | 45 | |
| 6 | 1984 | 43 | |
| 7 | 1990 | 42 | |
| 8 | 1986 | 40 | |
| 9 | 1989 | 36 | |
| 10 | 1992 | 33 | |
| 11 | 1994 | 33 | |
| 12 | 2000 | 29 | |
| 13 | 1988 | 29 | |
| 14 | 1984 | 28 | |
| 15 | 1995 | 28 | |
| 16 | 1995 | 27 | |
| 17 | 1984 | 26 | |
| 18 | 1985 | 24 | |
| 19 | 1998 | 23 | |
| 20 | 1983 | 23 |
About B. Mayr
B. Mayr is a scholar working on Genetics, Chemical Health and Safety, Plant Science, Molecular Biology and Biotechnology, having authored 121 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (45 papers), Animal Genetics and Reproduction (32 papers), Veterinary Oncology Research (19 papers), Virus-based gene therapy research (18 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers), Cancer-related Molecular Pathways (16 papers), Genomics and Chromatin Dynamics (16 papers) and Hedgehog Signaling Pathway Studies (12 papers). The work is most often cited by research in Genetics (887 citations), Plant Science (654 citations), Small Animals (101 citations), Molecular Biology (732 citations) and Pulmonary and Respiratory Medicine (347 citations). B. Mayr has collaborated with scholars based in Austria, Germany and Czechia. Frequent co-authors include W. Schleger, M. Kalat, M. Reifinger, Dieter Schweizer, Petr Ráb, H. Auer, G. Schaffner, K. Schellander, G. Loupal and Tommy Kaplan. Their work appears in journals such as Research in Veterinary Science, Journal of Heredity, Chromosoma, Veterinary Research Communications and Genetica.
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.