Tanel Punga
Impact in
- Neurology top 5%
- Myasthenia Gravis and Thymoma
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 10
- RNA Interference and Gene Delivery 5
- Viral Infectious Diseases and Gene Expression in Insects 5
- RNA modifications and cancer 4
- Genetics 16
- Virus-based gene therapy research 15
- Co-authors
- Johan Ericsson (4 shared papers)Anna Rostedt Punga (11 shared papers)Göran Akusjärvi (19 shared papers)Marc Bühler (2 shared papers)Maria T. Bengoechea-Alonso (2 shared papers)Eva Grönroos (1 shared paper)Alexey A. Terentiev (1 shared paper)Mats Andersson (2 shared papers)
- Journals
- Viruses (5 papers)Journal of Virology (5 papers)PLoS ONE (5 papers)Frontiers in Immunology (3 papers)FEBS Letters (3 papers)
- Partner nations
- SwedenUnited StatesSwitzerland
In The Last Decade
Tanel Punga
48 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Neurology 225
- Cancer Research 217
- Molecular Biology 729
- Genetics 204
- Immunology 125
Countries citing papers authored by Tanel Punga
This map shows the geographic impact of Tanel Punga'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 Tanel Punga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanel Punga more than expected).
Fields of papers citing papers by Tanel Punga
This network shows the impact of papers produced by Tanel Punga. 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 Tanel Punga. The network helps show where Tanel Punga may publish in the future.
Co-authors
The 25 scholars most cited alongside Tanel Punga, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 169 | |
| 2 | 2006 | 103 | |
| 3 | 2010 | 99 | |
| 4 | 2010 | 67 | |
| 5 | 2013 | 63 | |
| 6 | 2015 | 60 | |
| 7 | 2005 | 57 | |
| 8 | 2016 | 48 | |
| 9 | 2013 | 39 | |
| 10 | 2000 | 34 | |
| 11 | 2017 | 33 | |
| 12 | 2020 | 30 | |
| 13 | 2002 | 30 | |
| 14 | 2020 | 30 | |
| 15 | 2020 | 29 | |
| 16 | 2018 | 28 | |
| 17 | 2016 | 23 | |
| 18 | 2017 | 17 | |
| 19 | 2020 | 15 | |
| 20 | 2017 | 15 |
About Tanel Punga
Tanel Punga is a scholar working on Molecular Biology, Genetics, Neurology, Oncology and Immunology, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), Myasthenia Gravis and Thymoma (11 papers), RNA Research and Splicing (10 papers), Viral Infections and Immunology Research (7 papers), RNA Interference and Gene Delivery (5 papers), interferon and immune responses (5 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Neurology (225 citations), Cancer Research (217 citations), Molecular Biology (729 citations), Genetics (204 citations) and Immunology (125 citations). Tanel Punga has collaborated with scholars based in Sweden, United States and Switzerland. Frequent co-authors include Johan Ericsson, Anna Rostedt Punga, Göran Akusjärvi, Marc Bühler, Maria T. Bengoechea-Alonso, Eva Grönroos, Alexey A. Terentiev, Mats Andersson, Wael Kamel and Dimos Gaidatzis. Their work appears in journals such as Viruses, Journal of Virology, PLoS ONE, Frontiers in Immunology and FEBS Letters.
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.