Karin Mayer
Impact in
- Genetics top 2%
- Connective tissue disorders research
- Genetic and Kidney Cyst Diseases
- Physiology top 5%
- Tuberous Sclerosis Complex Research
Papers in
- Physiology 17
- Tuberous Sclerosis Complex Research 17
- Genetics 17
- Connective tissue disorders research 13
- Genomics and Rare Diseases 2
- Genetic and Kidney Cyst Diseases 2
- Co-authors
- Wolfgang G. Ballhausen (4 shared papers)Hans‐Dieter Rott (4 shared papers)A. Temperli (2 shared papers)Mark D. Nellist (6 shared papers)Michael Markert (4 shared papers)Brian D. Guth (4 shared papers)Ulrich Linsenmaier (2 shared papers)Dicky J.J. Halley (4 shared papers)
- Journals
- European Journal of Human Genetics (7 papers)Human Mutation (5 papers)Journal of Medical Genetics (2 papers)International Journal of Oncology (1 paper)Archives of Microbiology (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Karin Mayer
59 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 62
- Genetics 968
- Physiology 321
- Small Animals 35
- Neurology 52
- Molecular Biology 194
Countries citing papers authored by Karin Mayer
This map shows the geographic impact of Karin Mayer'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 Karin Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karin Mayer more than expected).
Fields of papers citing papers by Karin Mayer
This network shows the impact of papers produced by Karin Mayer. 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 Karin Mayer. The network helps show where Karin Mayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Karin Mayer, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 450 | |
| 2 | 2015 | 173 | |
| 3 | 2010 | 133 | |
| 4 | 2008 | 119 | |
| 5 | 2006 | 103 | |
| 6 | 2011 | 84 | |
| 7 | 2008 | 80 | |
| 8 | 2004 | 69 | |
| 9 | 2007 | 69 | |
| 10 | 2008 | 69 | |
| 11 | 2010 | 62 | |
| 12 | 2012 | 60 | |
| 13 | 2008 | 52 | |
| 14 | 2013 | 45 | |
| 15 | 2000 | 42 | |
| 16 | 2011 | 41 | |
| 17 | 2004 | 39 | |
| 18 | 1965 | 38 | |
| 19 | 2007 | 38 | |
| 20 | 2009 | 38 |
About Karin Mayer
Karin Mayer is a scholar working on Physiology, Genetics, Psychiatry and Mental health, Neurology and Molecular Biology, having authored 63 papers that have together received 2.3k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (17 papers), Connective tissue disorders research (13 papers), Epilepsy research and treatment (2 papers), Genomics and Rare Diseases (2 papers), RNA Research and Splicing (2 papers), Genetic and Kidney Cyst Diseases (2 papers), Psychosomatic Disorders and Their Treatments (2 papers) and Protein Tyrosine Phosphatases (1 paper). The work is most often cited by research in Genetics (968 citations), Physiology (321 citations), Small Animals (35 citations), Neurology (52 citations) and Molecular Biology (194 citations). Karin Mayer has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Wolfgang G. Ballhausen, Hans‐Dieter Rott, A. Temperli, Mark D. Nellist, Michael Markert, Brian D. Guth, Ulrich Linsenmaier, Dicky J.J. Halley, Ralf Wienecke and Matthias Kretzler. Their work appears in journals such as European Journal of Human Genetics, Human Mutation, Journal of Medical Genetics, International Journal of Oncology and Archives of 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.