Daniel Peter
Impact in
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- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- PI3K/AKT/mTOR signaling in cancer
- Polyamine Metabolism and Applications
- CRISPR and Genetic Engineering
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- PI3K/AKT/mTOR signaling in cancer 7
- RNA and protein synthesis mechanisms 6
- RNA Research and Splicing 5
- Polyamine Metabolism and Applications 5
- Protein Degradation and Inhibitors 1
- Protein Kinase Regulation and GTPase Signaling 1
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- Mast cells and histamine 1
- Co-authors
- Elisa Izaurralde (9 shared papers)Cátia Igreja (8 shared papers)Ramona Weber (6 shared papers)Oliver Weichenrieder (4 shared papers)Lara Wohlbold (3 shared papers)Eugene Valkov (4 shared papers)Stefan Grüner (2 shared papers)Praveen Bawankar (3 shared papers)
In The Last Decade
Daniel Peter
14 papers receiving 542 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 485
- Aging 12
- Immunology 73
- Radiology, Nuclear Medicine and Imaging 47
- Cancer Research 26
Countries citing papers authored by Daniel Peter
This map shows the geographic impact of Daniel Peter'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 Daniel Peter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Peter more than expected).
Fields of papers citing papers by Daniel Peter
This network shows the impact of papers produced by Daniel Peter. 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 Daniel Peter. The network helps show where Daniel Peter may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Peter, 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 | 120 | |
| 2 | 2016 | 88 | |
| 3 | 2012 | 73 | |
| 4 | 2017 | 59 | |
| 5 | 2014 | 56 | |
| 6 | 2014 | 38 | |
| 7 | 2018 | 31 | |
| 8 | 2019 | 23 | |
| 9 | 2019 | 22 | |
| 10 | 2015 | 17 | |
| 11 | 2013 | 11 | |
| 12 | 2024 | 5 | |
| 13 | 2025 | 3 | |
| 14 | 2025 | 1 |
About Daniel Peter
Daniel Peter is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Organic Chemistry and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 547 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (7 papers), RNA and protein synthesis mechanisms (6 papers), RNA Research and Splicing (5 papers), Polyamine Metabolism and Applications (5 papers), Mast cells and histamine (1 paper), Protein Degradation and Inhibitors (1 paper), HIV Research and Treatment (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Molecular Biology (485 citations), Aging (12 citations), Immunology (73 citations), Radiology, Nuclear Medicine and Imaging (47 citations) and Cancer Research (26 citations). Daniel Peter has collaborated with scholars based in Germany, France and Austria. Frequent co-authors include Elisa Izaurralde, Cátia Igreja, Ramona Weber, Oliver Weichenrieder, Lara Wohlbold, Eugene Valkov, Stefan Grüner, Praveen Bawankar, Sigrun Helms and Margit Bauer. Their work appears in journals such as Genes & Development, Molecular Cell, Nature Structural & Molecular Biology, Nucleic Acids Research and Journal of the American Chemical Society.
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.