Dagmar Wirth
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Animal Genetics and Reproduction
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- Viral Infectious Diseases and Gene Expression in Insects
- RNA Interference and Gene Delivery
- Pluripotent Stem Cells Research
Papers in
-
- CRISPR and Genetic Engineering 33
- Viral Infectious Diseases and Gene Expression in Insects 23
- RNA Interference and Gene Delivery 10
- Pluripotent Stem Cells Research 10
- Genetics 43
- Virus-based gene therapy research 36
- Animal Genetics and Reproduction 10
- Co-authors
- H. Häuser (64 shared papers)Roland Schucht (11 shared papers)Leonor Gama-Norton (8 shared papers)Pamela Riemer (4 shared papers)Els Verhoeyen (7 shared papers)Tobias May (14 shared papers)Mario Köster (16 shared papers)Christoph Lipps (7 shared papers)
- Journals
- Nucleic Acids Research (5 papers)Human Gene Therapy (5 papers)Frontiers in Immunology (4 papers)Journal of Virology (3 papers)Molecular Therapy (3 papers)
- Partner nations
- GermanyPortugalUnited States
In The Last Decade
Dagmar Wirth
94 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 113
- Genetics 651
- Molecular Biology 1.1k
- Immunology 328
- Oncology 302
- Hepatology 79
Countries citing papers authored by Dagmar Wirth
This map shows the geographic impact of Dagmar Wirth'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 Dagmar Wirth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dagmar Wirth more than expected).
Fields of papers citing papers by Dagmar Wirth
This network shows the impact of papers produced by Dagmar Wirth. 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 Dagmar Wirth. The network helps show where Dagmar Wirth may publish in the future.
Co-authors
The 25 scholars most cited alongside Dagmar Wirth, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 146 | |
| 2 | 2007 | 134 | |
| 3 | 2004 | 90 | |
| 4 | 2006 | 67 | |
| 5 | 2015 | 62 | |
| 6 | 2009 | 57 | |
| 7 | 2005 | 57 | |
| 8 | 2006 | 56 | |
| 9 | 2001 | 56 | |
| 10 | 2006 | 53 | |
| 11 | 2014 | 49 | |
| 12 | 2018 | 46 | |
| 13 | 2009 | 45 | |
| 14 | 2009 | 45 | |
| 15 | 2008 | 42 | |
| 16 | 2011 | 42 | |
| 17 | 2002 | 37 | |
| 18 | 2017 | 36 | |
| 19 | 2013 | 33 | |
| 20 | 2013 | 31 |
About Dagmar Wirth
Dagmar Wirth is a scholar working on Molecular Biology, Genetics, Immunology, Epidemiology and Oncology, having authored 100 papers that have together received 2.0k indexed citations. Recurring topics across this work include Virus-based gene therapy research (36 papers), CRISPR and Genetic Engineering (33 papers), Viral Infectious Diseases and Gene Expression in Insects (23 papers), RNA Interference and Gene Delivery (10 papers), Animal Genetics and Reproduction (10 papers), Pluripotent Stem Cells Research (10 papers), Cytomegalovirus and herpesvirus research (9 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Genetics (651 citations), Molecular Biology (1.1k citations), Immunology (328 citations), Oncology (302 citations) and Hepatology (79 citations). Dagmar Wirth has collaborated with scholars based in Germany, Portugal and United States. Frequent co-authors include H. Häuser, Roland Schucht, Leonor Gama-Norton, Pamela Riemer, Els Verhoeyen, Tobias May, Mario Köster, Christoph Lipps, Reinhold Schirmbeck and Ana S. Coroadinha. Their work appears in journals such as Nucleic Acids Research, Human Gene Therapy, Frontiers in Immunology, Journal of Virology and Molecular Therapy.
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.