George Pyrowolakis
Impact in
- Molecular Biology top 2%
- Ubiquitin and proteasome pathways
- DNA Repair Mechanisms
- Developmental Biology and Gene Regulation
- Genomics and Chromatin Dynamics
- CRISPR and Genetic Engineering
- Cell Biology top 1%
- Microtubule and mitosis dynamics
Papers in
- Aging 1
-
- Hippo pathway signaling and YAP/TAZ 6
- Co-authors
- Stefan JentschCarsten HoegeBoris PfanderGeorge‐Lucian MoldovanStefan MüllerMarkus AffolterKonrad BaslerBritta Hartmann
- Journals
- Developmental Biology (3 papers)eLife (3 papers)Proceedings of the National Academy of Sciences (3 papers)Current Biology (2 papers)Development (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
George Pyrowolakis
35 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 3.9k
- Cell Biology 855
- Aging 83
- Cancer Research 475
- Oncology 835
Countries citing papers authored by George Pyrowolakis
This map shows the geographic impact of George Pyrowolakis'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 George Pyrowolakis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Pyrowolakis more than expected).
Fields of papers citing papers by George Pyrowolakis
This network shows the impact of papers produced by George Pyrowolakis. 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 George Pyrowolakis. The network helps show where George Pyrowolakis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside George Pyrowolakis, 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 | 2024 | 3 | |
| 2 | 2023 | 3 | |
| 3 | 2021 | 17 | |
| 4 | 2019 | 23 | |
| 5 | 2014 | 91 | |
| 6 | 2014 | 23 | |
| 7 | 2013 | 6 | |
| 8 | 2012 | 32 | |
| 9 | 2012 | 21 | |
| 10 | 2011 | 5 | |
| 11 | 2010 | 106 | |
| 12 | 2010 | 47 | |
| 13 | 2009 | 83 | |
| 14 | 2008 | 2 | |
| 15 | 2008 | 30 | |
| 16 | 2004 | 178 | |
| 17 | 2004 | 122 | |
| 18 | 2003 | 150 | |
| 19 | Sumo, ubiquitin's mysterious cousin Hit paper breakdown → | 2001 | 646 |
| 20 | 1998 | 19 |
About George Pyrowolakis
George Pyrowolakis is a scholar working on Aging, Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience and Genetics, having authored 36 papers that have together received 4.3k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (22 papers), TGF-β signaling in diseases (7 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Genomics and Chromatin Dynamics (6 papers), Ubiquitin and proteasome pathways (5 papers), Pluripotent Stem Cells Research (4 papers), Neurobiology and Insect Physiology Research (4 papers) and Animal Genetics and Reproduction (4 papers). The work is most often cited by research in Molecular Biology (3.9k citations), Cell Biology (855 citations), Aging (83 citations), Cancer Research (475 citations) and Oncology (835 citations). George Pyrowolakis has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Stefan Jentsch, Carsten Hoege, Boris Pfander, George‐Lucian Moldovan, Stefan Müller, Markus Affolter, Konrad Basler, Britta Hartmann, Bruno Müller and Fisun Hamaratoǧlu. Their work appears in journals such as Developmental Biology, eLife, Proceedings of the National Academy of Sciences, Current Biology and Development.
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.