Peter Laun
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Geriatrics and Gerontology top 5%
Papers in
-
- Fungal and yeast genetics research 16
- DNA Repair Mechanisms 6
- Mitochondrial Function and Pathology 6
- CRISPR and Genetic Engineering 3
- Aging 19
- Genetics, Aging, and Longevity in Model Organisms 19
- Co-authors
- Michael Breitenbach (29 shared papers)Frank Madeo (10 shared papers)Gino Heeren (13 shared papers)Ian W. Dawes (6 shared papers)Alena Pichová (7 shared papers)Kai‐Uwe Fröhlich (4 shared papers)Sepp D. Kohlwein (4 shared papers)Mark Rinnerthaler (11 shared papers)
- Journals
- Experimental Gerontology (4 papers)FEMS Yeast Research (4 papers)Sub-cellular biochemistry (3 papers)Aging (2 papers)Molecular Microbiology (2 papers)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Peter Laun
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Aging 495
- Geriatrics and Gerontology 87
- Molecular Biology 1.1k
- Cell Biology 162
- Physiology 172
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-authors
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
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 369 | |
| 2 | 2011 | 107 | |
| 3 | 2006 | 93 | |
| 4 | 2004 | 86 | |
| 5 | 2007 | 73 | |
| 6 | 2009 | 71 | |
| 7 | 2010 | 61 | |
| 8 | 2000 | 61 | |
| 9 | 2004 | 56 | |
| 10 | 2005 | 52 | |
| 11 | 2011 | 44 | |
| 12 | 2006 | 39 | |
| 13 | 2011 | 39 | |
| 14 | 2005 | 33 | |
| 15 | 2001 | 32 | |
| 16 | 2007 | 28 | |
| 17 | 2008 | 24 | |
| 18 | 2010 | 24 | |
| 19 | 2003 | 24 | |
| 20 | 2017 | 20 |
About Peter Laun
Peter Laun is a scholar working on Molecular Biology, Aging, Physiology, Cell Biology and Immunology, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (19 papers), Fungal and yeast genetics research (16 papers), DNA Repair Mechanisms (6 papers), Mitochondrial Function and Pathology (6 papers), Telomeres, Telomerase, and Senescence (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), CRISPR and Genetic Engineering (3 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Aging (495 citations), Geriatrics and Gerontology (87 citations), Molecular Biology (1.1k citations), Cell Biology (162 citations) and Physiology (172 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, Kai‐Uwe Fröhlich, Sepp D. Kohlwein, Mark Rinnerthaler, Adolf Ellinger and Jörg Fuchs. Their work appears in journals such as Experimental Gerontology, FEMS Yeast Research, Sub-cellular biochemistry, Aging and Molecular 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.