Peter Lönn
Impact in
- Molecular Biology top 10%
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- TGF-β signaling in diseases
- CRISPR and Genetic Engineering
- DNA and Nucleic Acid Chemistry
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Advanced biosensing and bioanalysis techniques 9
- RNA Interference and Gene Delivery 5
- TGF-β signaling in diseases 4
- Advanced Biosensing Techniques and Applications 2
- Cancer-related gene regulation 2
- Co-authors
- Steven F. DowdyAristidis MoustakasMarkus DahlManuel KaulichXian-Shu CuiAlexander HamilKhirud GogoiCarl‐Henrik Heldin
- Journals
- Nucleic Acids Research (3 papers)The Journal of Cell Biology (1 paper)Scientific Reports (1 paper)Neurochemical Research (1 paper)Cell Research (1 paper)
- Partner nations
- SwedenUnited StatesAustria
In The Last Decade
Peter Lönn
18 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 963
- Cell Biology 144
- Cancer Research 103
- Oncology 185
- Microbiology 36
Countries citing papers authored by Peter Lönn
This map shows the geographic impact of Peter Lönn'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 Lönn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Lönn more than expected).
Fields of papers citing papers by Peter Lönn
This network shows the impact of papers produced by Peter Lönn. 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 Lönn. The network helps show where Peter Lönn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter Lönn, 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 | 2022 | 3 | |
| 2 | 2021 | 1 | |
| 3 | 2020 | 13 | |
| 4 | 2017 | 22 | |
| 5 | 2017 | 34 | |
| 6 | 2016 | 248 | |
| 7 | 2015 | 106 | |
| 8 | 2015 | 25 | |
| 9 | 2015 | 119 | |
| 10 | 2014 | 22 | |
| 11 | 2014 | 161 | |
| 12 | 2014 | 15 | |
| 13 | 2014 | 2 | |
| 14 | 2012 | 29 | |
| 15 | 2010 | 115 | |
| 16 | 2008 | 157 | |
| 17 | 2008 | 68 | |
| 18 | 2005 | 13 |
About Peter Lönn
Peter Lönn is a scholar working on Molecular Biology, Cell Biology, Biophysics, Immunology and Allergy and Oncology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), RNA Interference and Gene Delivery (5 papers), TGF-β signaling in diseases (4 papers), Advanced Biosensing Techniques and Applications (2 papers), Virus-based gene therapy research (2 papers), Cancer-related gene regulation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Molecular Biology (963 citations), Cell Biology (144 citations), Cancer Research (103 citations), Oncology (185 citations) and Microbiology (36 citations). Peter Lönn has collaborated with scholars based in Sweden, United States and Austria. Frequent co-authors include Steven F. Dowdy, Aristidis Moustakas, Markus Dahl, Manuel Kaulich, Xian-Shu Cui, Alexander Hamil, Khirud Gogoi, Carl‐Henrik Heldin, Erna Raja and Anita Morén. Their work appears in journals such as Nucleic Acids Research, The Journal of Cell Biology, Scientific Reports, Neurochemical Research and Cell 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.