Klaus Förstemann
Impact in
- Aging top 2%
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- CRISPR and Genetic Engineering 18
- RNA Interference and Gene Delivery 17
- RNA Research and Splicing 12
- Advanced biosensing and bioanalysis techniques 7
- RNA modifications and cancer 4
-
- MicroRNA in disease regulation 10
- Co-authors
- Yukihide Tomari (3 shared papers)Phillip D. Zamore (2 shared papers)Joachim Lingner (6 shared papers)Julia Hartig (3 shared papers)Liang Meng Wee (1 shared paper)Michael D. Horwich (1 shared paper)Carla Klattenhoff (1 shared paper)Ahmet M. Denli (1 shared paper)
- Journals
- Nucleic Acids Research (9 papers)RNA Biology (4 papers)PLoS ONE (3 papers)PLoS Genetics (2 papers)G3 Genes Genomes Genetics (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Klaus Förstemann
37 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 78
- Aging 137
- Cancer Research 529
- Molecular Biology 1.6k
- Physiology 353
- Plant Science 421
Countries citing papers authored by Klaus Förstemann
This map shows the geographic impact of Klaus Förstemann'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 Klaus Förstemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Förstemann more than expected).
Fields of papers citing papers by Klaus Förstemann
This network shows the impact of papers produced by Klaus Förstemann. 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 Klaus Förstemann. The network helps show where Klaus Förstemann may publish in the future.
Co-authors
The 25 scholars most cited alongside Klaus Förstemann, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 419 | |
| 2 | 2007 | 338 | |
| 3 | 2002 | 116 | |
| 4 | 2012 | 107 | |
| 5 | 2000 | 102 | |
| 6 | 2014 | 93 | |
| 7 | 2009 | 84 | |
| 8 | 2007 | 82 | |
| 9 | 2013 | 61 | |
| 10 | 2011 | 60 | |
| 11 | 2001 | 59 | |
| 12 | 2002 | 58 | |
| 13 | 2005 | 49 | |
| 14 | 2012 | 36 | |
| 15 | 2006 | 36 | |
| 16 | 2008 | 33 | |
| 17 | 2016 | 30 | |
| 18 | 2017 | 26 | |
| 19 | 2014 | 24 | |
| 20 | 2012 | 21 |
About Klaus Förstemann
Klaus Förstemann is a scholar working on Molecular Biology, Cancer Research, Physiology, Plant Science and Aging, having authored 38 papers that have together received 2.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (18 papers), RNA Interference and Gene Delivery (17 papers), RNA Research and Splicing (12 papers), MicroRNA in disease regulation (10 papers), Telomeres, Telomerase, and Senescence (7 papers), Chromosomal and Genetic Variations (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Aging (137 citations), Cancer Research (529 citations), Molecular Biology (1.6k citations), Physiology (353 citations) and Plant Science (421 citations). Klaus Förstemann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Yukihide Tomari, Phillip D. Zamore, Joachim Lingner, Julia Hartig, Liang Meng Wee, Michael D. Horwich, Carla Klattenhoff, Ahmet M. Denli, Diana P. Bratu and Vasily V. Vagin. Their work appears in journals such as Nucleic Acids Research, RNA Biology, PLoS ONE, PLoS Genetics and G3 Genes Genomes Genetics.
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.