Klaus Förstemann
Impact in
- Aging top 2%
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
- Aging 3
-
- MicroRNA in disease regulation 11
- Cancer-related molecular mechanisms research 4
- Co-authors
- Yukihide TomariPhillip D. ZamoreJoachim LingnerJulia HartigLiang Meng WeeMichael D. HorwichTingting DuDiana P. Bratu
- Journals
- Nucleic Acids Research (8 papers)RNA Biology (4 papers)PLoS ONE (3 papers)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (2 papers)PLoS 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 140
- Cancer Research 539
- Molecular Biology 1.7k
- Physiology 353
- Plant Science 424
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 1 | |
| 2 | 2021 | 6 | |
| 3 | 2019 | 10 | |
| 4 | 2017 | 24 | |
| 5 | 2017 | 12 | |
| 6 | 2017 | 3 | |
| 7 | 2016 | 17 | |
| 8 | 2014 | 24 | |
| 9 | 2013 | 61 | |
| 10 | 2011 | 59 | |
| 11 | 2010 | 4 | |
| 12 | 2009 | 83 | |
| 13 | 2008 | 4 | |
| 14 | 2007 | 82 | |
| 15 | 2007 | 336 | |
| 16 | The finger subdomain of yeast telomerase cooperates with Pif1 p to limit telomere elongation | 2006 | 2 |
| 17 | 2005 | 416 | |
| 18 | 2003 | 16 | |
| 19 | 2002 | 58 | |
| 20 | 2000 | 101 |
About Klaus Förstemann
Klaus Förstemann is a scholar working on Aging, Cancer Research, Molecular Biology, Physiology and Plant Science, having authored 37 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (18 papers), RNA Interference and Gene Delivery (16 papers), MicroRNA in disease regulation (11 papers), RNA Research and Splicing (11 papers), Chromosomal and Genetic Variations (7 papers), Telomeres, Telomerase, and Senescence (7 papers), Advanced biosensing and bioanalysis techniques (7 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Aging (140 citations), Cancer Research (539 citations), Molecular Biology (1.7k citations), Physiology (353 citations) and Plant Science (424 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, Tingting Du, Diana P. Bratu, Ahmet M. Denli and Vasily V. Vagin. Their work appears in journals such as Nucleic Acids Research, RNA Biology, PLoS ONE, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and PLoS 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.