Peter Laun
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 5%
Papers in
- Aging 17
- Genetics, Aging, and Longevity in Model Organisms 17
-
- Fungal and yeast genetics research 15
- Mitochondrial Function and Pathology 5
- DNA Repair Mechanisms 5
- CRISPR and Genetic Engineering 2
- Co-authors
- Michael BreitenbachFrank MadeoGino HeerenIan W. DawesAlena PichováSepp D. KohlweinKai‐Uwe FröhlichMark Rinnerthaler
- Journals
- FEMS Yeast Research (4 papers)Experimental Gerontology (4 papers)Sub-cellular biochemistry (3 papers)Molecular Microbiology (2 papers)Aging (2 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Peter Laun
27 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Aging 449
- Geriatrics and Gerontology 79
- Molecular Biology 1.1k
- Cell Biology 159
- Physiology 157
Countries citing papers authored by Peter Laun
This map shows the geographic impact of Peter Laun'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 Peter Laun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Laun more than expected).
Fields of papers citing papers by Peter Laun
This network shows the impact of papers produced by Peter Laun. 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 Peter Laun. The network helps show where Peter Laun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Laun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 106 | |
| 2 | 2011 | 43 | |
| 3 | 2011 | 19 | |
| 4 | 2010 | 60 | |
| 5 | 2009 | 70 | |
| 6 | 2008 | 23 | |
| 7 | Smart genetic screens | 2007 | 1 |
| 8 | 2007 | 25 | |
| 9 | 2007 | 69 | |
| 10 | 2007 | 16 | |
| 11 | 2006 | 15 | |
| 12 | 2006 | 36 | |
| 13 | 2006 | 90 | |
| 14 | 2005 | 51 | |
| 15 | 2005 | 32 | |
| 16 | 2004 | 80 | |
| 17 | 2004 | 55 | |
| 18 | 2004 | 5 | |
| 19 | 2000 | 54 | |
| 20 | 1999 | 16 |
About Peter Laun
Peter Laun is a scholar working on Aging, Molecular Biology, Cell Biology, Endocrine and Autonomic Systems and Psychiatry and Mental health, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (17 papers), Fungal and yeast genetics research (15 papers), Mitochondrial Function and Pathology (5 papers), DNA Repair Mechanisms (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers), CRISPR and Genetic Engineering (2 papers), Immunotherapy and Immune Responses (2 papers) and Telomeres, Telomerase, and Senescence (2 papers). The work is most often cited by research in Aging (449 citations), Geriatrics and Gerontology (79 citations), Molecular Biology (1.1k citations), Cell Biology (159 citations) and Physiology (157 citations). Peter Laun has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Michael Breitenbach, Frank Madeo, Gino Heeren, Ian W. Dawes, Alena Pichová, Sepp D. Kohlwein, Kai‐Uwe Fröhlich, Mark Rinnerthaler, Adolf Ellinger and Jörg Fuchs. Their work appears in journals such as FEMS Yeast Research, Experimental Gerontology, Sub-cellular biochemistry, Molecular Microbiology and Aging.
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.