Karin Mayer
Impact in
- Physiology top 10%
- Tuberous Sclerosis Complex Research
- Histiocytic Disorders and Treatments
- Genetics top 10%
- Connective tissue disorders research
Papers in
- Physiology 17
- Tuberous Sclerosis Complex Research 15
- Histiocytic Disorders and Treatments 5
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- Protein Tyrosine Phosphatases 3
- Co-authors
- Wolfgang G. Ballhausen (4 shared papers)Hans‐Dieter Rott (4 shared papers)Mark Nellist (6 shared papers)Ulrich Linsenmaier (2 shared papers)Michael Markert (4 shared papers)Brian D. Guth (4 shared papers)Thomas Trautmann (4 shared papers)Dicky Halley (4 shared papers)
- Journals
- European Journal of Human Genetics (5 papers)Human Mutation (5 papers)Cardiovascular Pathology (1 paper)World Journal of Pediatrics (1 paper)Neuropediatrics (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Karin Mayer
49 papers receiving 981 citations
Peers
Comparison fields: 5 of 106
- Physiology 355
- Genetics 218
- Oncology 185
- Cardiology and Cardiovascular Medicine 152
- Molecular Biology 390
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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 97 | |
| 2 | 2004 | 65 | |
| 3 | 2010 | 55 | |
| 4 | 2012 | 53 | |
| 5 | 2007 | 52 | |
| 6 | 2008 | 42 | |
| 7 | 2000 | 42 | |
| 8 | 2013 | 42 | |
| 9 | 1965 | 38 | |
| 10 | 2007 | 36 | |
| 11 | 2004 | 36 | |
| 12 | 2011 | 34 | |
| 13 | 2012 | 33 | |
| 14 | 1963 | 33 | |
| 15 | 1999 | 32 | |
| 16 | 1997 | 30 | |
| 17 | 2010 | 28 | |
| 18 | 2009 | 28 | |
| 19 | 2012 | 22 | |
| 20 | 2002 | 20 |
About Karin Mayer
Karin Mayer is a scholar working on Physiology, Molecular Biology, Genetics, Oncology and Cardiology and Cardiovascular Medicine, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Tuberous Sclerosis Complex Research (15 papers), Connective tissue disorders research (8 papers), Polyomavirus and related diseases (6 papers), Histiocytic Disorders and Treatments (5 papers), Genetic and Kidney Cyst Diseases (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), Renal cell carcinoma treatment (3 papers) and Protein Tyrosine Phosphatases (3 papers). The work is most often cited by research in Physiology (355 citations), Genetics (218 citations), Oncology (185 citations), Cardiology and Cardiovascular Medicine (152 citations) and Molecular Biology (390 citations). Karin Mayer has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Wolfgang G. Ballhausen, Hans‐Dieter Rott, Mark Nellist, Ulrich Linsenmaier, Michael Markert, Brian D. Guth, Thomas Trautmann, Dicky Halley, Ralf Wienecke and Thomas Licht. Their work appears in journals such as European Journal of Human Genetics, Human Mutation, Cardiovascular Pathology, World Journal of Pediatrics and Neuropediatrics.
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.