Stefan Weger
Impact in
- Genetics top 1%
- Virus-based gene therapy research
Papers in
- Genetics 34
- Virus-based gene therapy research 33
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- RNA Interference and Gene Delivery 9
- Viral Infectious Diseases and Gene Expression in Insects 6
- CRISPR and Genetic Engineering 6
- Ubiquitin and proteasome pathways 4
- Co-authors
- Regine Heilbronn (31 shared papers)Jürgen A. Kleinschmidt (5 shared papers)A Kern (2 shared papers)Dirk Grimm (2 shared papers)Mario Mietzsch (9 shared papers)Henry Fechner (11 shared papers)Herbert Herzog (6 shared papers)Günther Sperk (5 shared papers)
- Journals
- Journal of Virology (16 papers)Gene Therapy (3 papers)Virology (3 papers)Cell Metabolism (2 papers)Journal of General Virology (2 papers)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Stefan Weger
55 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 97
- Genetics 1.2k
- Endocrine and Autonomic Systems 203
- Behavioral Neuroscience 82
- Infectious Diseases 337
- Molecular Biology 1.3k
Countries citing papers authored by Stefan Weger
This map shows the geographic impact of Stefan Weger'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 Stefan Weger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Weger more than expected).
Fields of papers citing papers by Stefan Weger
This network shows the impact of papers produced by Stefan Weger. 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 Stefan Weger. The network helps show where Stefan Weger may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Weger, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 222 | |
| 2 | 1997 | 176 | |
| 3 | 2005 | 141 | |
| 4 | 2010 | 129 | |
| 5 | 1995 | 127 | |
| 6 | 1995 | 125 | |
| 7 | 2013 | 119 | |
| 8 | 1999 | 84 | |
| 9 | 2009 | 83 | |
| 10 | 2010 | 77 | |
| 11 | 2017 | 68 | |
| 12 | 2014 | 65 | |
| 13 | 2015 | 53 | |
| 14 | 1997 | 50 | |
| 15 | 1999 | 49 | |
| 16 | 2002 | 43 | |
| 17 | 2003 | 42 | |
| 18 | 2018 | 41 | |
| 19 | 2016 | 41 | |
| 20 | 2007 | 36 |
About Stefan Weger
Stefan Weger is a scholar working on Genetics, Molecular Biology, Epidemiology, Oncology and Cardiology and Cardiovascular Medicine, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (33 papers), Herpesvirus Infections and Treatments (10 papers), RNA Interference and Gene Delivery (9 papers), Viral Infections and Immunology Research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), CRISPR and Genetic Engineering (6 papers), CAR-T cell therapy research (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Genetics (1.2k citations), Endocrine and Autonomic Systems (203 citations), Behavioral Neuroscience (82 citations), Infectious Diseases (337 citations) and Molecular Biology (1.3k citations). Stefan Weger has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Regine Heilbronn, Jürgen A. Kleinschmidt, A Kern, Dirk Grimm, Mario Mietzsch, Henry Fechner, Herbert Herzog, Günther Sperk, Ramon Tasan and Sergei Zolotukhin. Their work appears in journals such as Journal of Virology, Gene Therapy, Virology, Cell Metabolism and Journal of General Virology.
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.