Philipp Voigt
Impact in
- Molecular Biology top 2%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- RNA modifications and cancer
- RNA Research and Splicing
- Geriatrics and Gerontology top 2%
Papers in
-
- Genomics and Chromatin Dynamics 19
- Epigenetics and DNA Methylation 16
- RNA modifications and cancer 8
- CRISPR and Genetic Engineering 4
- Ubiquitin and proteasome pathways 4
- Cancer-related gene regulation 4
-
- Plant Molecular Biology Research 7
- Co-authors
- Danny ReinbergWee‐Wei TeeMichael SchaeferJinsook SonWilliam J. DruryStephen R. MartinKatsuhito OhnoN. Justin
- Journals
- Journal of Biological Chemistry (5 papers)Genes & Development (4 papers)Biochemistry (3 papers)Nature (2 papers)Cell (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Philipp Voigt
52 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Molecular Biology 3.6k
- Geriatrics and Gerontology 159
- Biophysics 125
- Aging 33
- Physiology 472
Countries citing papers authored by Philipp Voigt
This map shows the geographic impact of Philipp Voigt'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 Philipp Voigt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Voigt more than expected).
Fields of papers citing papers by Philipp Voigt
This network shows the impact of papers produced by Philipp Voigt. 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 Philipp Voigt. The network helps show where Philipp Voigt may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Voigt, 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 | 2025 | 0 | |
| 2 | 2024 | 15 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 34 | |
| 7 | 2020 | 24 | |
| 8 | 2020 | 91 | |
| 9 | 2014 | 145 | |
| 10 | 2013 | 224 | |
| 11 | 2012 | 153 | |
| 12 | 2012 | 317 | |
| 13 | 2011 | 92 | |
| 14 | Role of the polycomb protein EED in the propagation of repressive histone marks Hit paper breakdown → | 2009 | 890 |
| 15 | 2009 | 77 | |
| 16 | 2008 | 78 | |
| 17 | 2007 | 240 | |
| 18 | 2004 | 53 | |
| 19 | 1999 | 1 | |
| 20 | Registration of Texoka buffalograss | 1975 | 6 |
About Philipp Voigt
Philipp Voigt is a scholar working on Molecular Biology, Plant Science, Geriatrics and Gerontology, Physiology and Virology, having authored 53 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (19 papers), Epigenetics and DNA Methylation (16 papers), RNA modifications and cancer (8 papers), Plant Molecular Biology Research (7 papers), Alzheimer's disease research and treatments (5 papers), CRISPR and Genetic Engineering (4 papers), Ubiquitin and proteasome pathways (4 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Molecular Biology (3.6k citations), Geriatrics and Gerontology (159 citations), Biophysics (125 citations), Aging (33 citations) and Physiology (472 citations). Philipp Voigt has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Danny Reinberg, Wee‐Wei Tee, Michael Schaefer, Jinsook Son, William J. Drury, Stephen R. Martin, Katsuhito Ohno, N. Justin, William R. Taylor and S.J. Gamblin. Their work appears in journals such as Journal of Biological Chemistry, Genes & Development, Biochemistry, Nature and Cell.
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.