Peter Watzinger
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
Papers in
-
- RNA modifications and cancer 11
- RNA and protein synthesis mechanisms 10
- Cancer-related gene regulation 6
- RNA Research and Splicing 2
- Genomics and Phylogenetic Studies 1
- Oncology 1
- Peptidase Inhibition and Analysis 1
- Co-authors
- Sunny Sharma (11 shared papers)Karl‐Dieter Entian (10 shared papers)Peter Kötter (9 shared papers)Denis L. J. Lafontaine (3 shared papers)Jun Yang (6 shared papers)Christian Peifer (3 shared papers)Rob W. van Nues (1 shared paper)Sander Granneman (1 shared paper)
- Journals
- Nucleic Acids Research (6 papers)PLoS ONE (2 papers)PLoS Genetics (1 paper)Scientific Reports (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- GermanyBelgiumUnited States
In The Last Decade
Peter Watzinger
11 papers receiving 894 citations
Peers
Comparison fields: 5 of 50
- Cancer Research 249
- Molecular Biology 870
- Energy Engineering and Power Technology 13
- Oncology 62
- Plant Science 27
Countries citing papers authored by Peter Watzinger
This map shows the geographic impact of Peter Watzinger'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 Peter Watzinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Watzinger more than expected).
Fields of papers citing papers by Peter Watzinger
This network shows the impact of papers produced by Peter Watzinger. 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 Peter Watzinger. The network helps show where Peter Watzinger may publish in the future.
Co-authors
The 17 scholars most cited alongside Peter Watzinger, 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 | 2015 | 262 | |
| 2 | 2013 | 160 | |
| 3 | 2012 | 96 | |
| 4 | 2017 | 87 | |
| 5 | 2013 | 86 | |
| 6 | 2018 | 51 | |
| 7 | 2014 | 45 | |
| 8 | 2016 | 43 | |
| 9 | 2019 | 33 | |
| 10 | 2013 | 33 | |
| 11 | 2022 | 1 |
About Peter Watzinger
Peter Watzinger is a scholar working on Molecular Biology, Oncology, Epidemiology, Cancer Research and Infectious Diseases, having authored 11 papers that have together received 897 indexed citations. Recurring topics across this work include RNA modifications and cancer (11 papers), RNA and protein synthesis mechanisms (10 papers), Cancer-related gene regulation (6 papers), RNA Research and Splicing (2 papers), Genomics and Phylogenetic Studies (1 paper), Infective Endocarditis Diagnosis and Management (1 paper), Peptidase Inhibition and Analysis (1 paper) and Cancer-related molecular mechanisms research (1 paper). The work is most often cited by research in Cancer Research (249 citations), Molecular Biology (870 citations), Energy Engineering and Power Technology (13 citations), Oncology (62 citations) and Plant Science (27 citations). Peter Watzinger has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Sunny Sharma, Karl‐Dieter Entian, Peter Kötter, Denis L. J. Lafontaine, Jun Yang, Christian Peifer, Rob W. van Nues, Sander Granneman, Mark Helm and Stefanie Kellner. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, PLoS Genetics, Scientific Reports and Methods in molecular biology.
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.