Philipp Guenzl
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Endocrinology top 5%
- Plant and Fungal Interactions Research
Papers in
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- RNA modifications and cancer 4
- Epigenetics and DNA Methylation 3
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 1
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- Cancer-related molecular mechanisms research 4
- Cancer, Hypoxia, and Metabolism 1
- Co-authors
- Denise P. Barlow (7 shared papers)Florian M. Pauler (5 shared papers)Aleksandra E. Kornienko (2 shared papers)Róbert Královics (3 shared papers)Christoph Dotter (2 shared papers)Heinz Gisslinger (1 shared paper)Bettina Gisslinger (1 shared paper)Ciara Cleary (1 shared paper)
- Journals
- PLoS ONE (2 papers)Genome biology (1 paper)BMC Biology (1 paper)Developmental Biology (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- AustriaNetherlands
In The Last Decade
Philipp Guenzl
8 papers receiving 896 citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Cancer Research 695
- Endocrinology 79
- Molecular Biology 740
- Genetics 93
- Plant Science 89
Countries citing papers authored by Philipp Guenzl
This map shows the geographic impact of Philipp Guenzl'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 Guenzl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philipp Guenzl more than expected).
Fields of papers citing papers by Philipp Guenzl
This network shows the impact of papers produced by Philipp Guenzl. 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 Guenzl. The network helps show where Philipp Guenzl may publish in the future.
Co-authors
The 25 scholars most cited alongside Philipp Guenzl, 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 | Gene regulation by the act of long non-coding RNA transcription Hit paper breakdown → | 2013 | 595 |
| 2 | 2016 | 117 | |
| 3 | 2011 | 77 | |
| 4 | 2012 | 64 | |
| 5 | 2015 | 22 | |
| 6 | 2012 | 18 | |
| 7 | 2013 | 7 | |
| 8 | 2015 | 6 |
About Philipp Guenzl
Philipp Guenzl is a scholar working on Molecular Biology, Cancer Research, Genetics, Pediatrics, Perinatology and Child Health and Endocrinology, Diabetes and Metabolism, having authored 8 papers that have together received 906 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Genetic Syndromes and Imprinting (4 papers), RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (3 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Cancer Research (695 citations), Endocrinology (79 citations), Molecular Biology (740 citations), Genetics (93 citations) and Plant Science (89 citations). Philipp Guenzl has collaborated with scholars based in Austria and Netherlands. Frequent co-authors include Denise P. Barlow, Florian M. Pauler, Aleksandra E. Kornienko, Róbert Královics, Christoph Dotter, Heinz Gisslinger, Bettina Gisslinger, Ciara Cleary, Andreas Sommer and Ru Huang. Their work appears in journals such as PLoS ONE, Genome biology, BMC Biology, Developmental Biology and Nucleic Acids Research.
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.