Xavier Danthinne
Impact in
- Endocrinology top 10%
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 5
- Genetics 6
- Virus-based gene therapy research 6
- Co-authors
- Michael J. Imperiale (3 shared papers)Frank Meulewaeter (4 shared papers)Marc Van Montagu (4 shared papers)Marc Cornelissen (3 shared papers)Jef Seurinck (3 shared papers)Gary J. Nabel (2 shared papers)Kazunori Aoki (2 shared papers)Christopher S. Barker (1 shared paper)
- Journals
- Journal of Virology (2 papers)Gene Therapy (2 papers)Virology (2 papers)Molecular and Cellular Biology (2 papers)Euphytica (1 paper)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Xavier Danthinne
14 papers receiving 562 citations
Peers
Comparison fields: 5 of 44
- Endocrinology 64
- Genetics 243
- Infectious Diseases 108
- Plant Science 178
- Molecular Biology 325
Countries citing papers authored by Xavier Danthinne
This map shows the geographic impact of Xavier Danthinne'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 Xavier Danthinne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xavier Danthinne more than expected).
Fields of papers citing papers by Xavier Danthinne
This network shows the impact of papers produced by Xavier Danthinne. 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 Xavier Danthinne. The network helps show where Xavier Danthinne may publish in the future.
Co-authors
The 16 scholars most cited alongside Xavier Danthinne, 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 | 2000 | 148 | |
| 2 | 1999 | 107 | |
| 3 | 1993 | 89 | |
| 4 | 1993 | 52 | |
| 5 | 1998 | 46 | |
| 6 | 2006 | 46 | |
| 7 | 1995 | 22 | |
| 8 | 1991 | 21 | |
| 9 | 2000 | 16 | |
| 10 | 1998 | 14 | |
| 11 | 1999 | 6 | |
| 12 | 2001 | 6 | |
| 13 | Studies on the translational properties of STNV RNA non-coding regions. | 1990 | 3 |
| 14 | 1993 | 3 |
About Xavier Danthinne
Xavier Danthinne is a scholar working on Molecular Biology, Genetics, Plant Science, Oncology and Ecology, having authored 14 papers that have together received 579 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Plant Virus Research Studies (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Bacteriophages and microbial interactions (4 papers), CAR-T cell therapy research (4 papers), Herpesvirus Infections and Treatments (2 papers), Viral Infections and Immunology Research (2 papers) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Endocrinology (64 citations), Genetics (243 citations), Infectious Diseases (108 citations), Plant Science (178 citations) and Molecular Biology (325 citations). Xavier Danthinne has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Michael J. Imperiale, Frank Meulewaeter, Marc Van Montagu, Marc Cornelissen, Jef Seurinck, Gary J. Nabel, Kazunori Aoki, Christopher S. Barker, Michael J. McConnell and John van Emmelo. Their work appears in journals such as Journal of Virology, Gene Therapy, Virology, Molecular and Cellular Biology and Euphytica.
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.