Pierre Dönnes
Impact in
- Molecular Biology top 10%
- vaccines and immunoinformatics approaches
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
-
- vaccines and immunoinformatics approaches 8
- Machine Learning in Bioinformatics 7
- RNA and protein synthesis mechanisms 4
- Immunology 13
- Immunotherapy and Immune Responses 10
- T-cell and B-cell Immunology 4
- Co-authors
- Oliver Kohlbacher (14 shared papers)Annette Höglund (6 shared papers)Arne Elofsson (1 shared paper)Torsten Blum (4 shared papers)Tassula Proikas‐Cezanne (2 shared papers)Zsuzsanna Takács (1 shared paper)Hans‐Werner Adolph (2 shared papers)Elizabeth C. Jury (8 shared papers)
- Journals
- Annals of the Rheumatic Diseases (3 papers)Bioinformatics (3 papers)PLoS ONE (2 papers)Cells (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- GermanySwedenUnited Kingdom
In The Last Decade
Pierre Dönnes
37 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 115
- Molecular Biology 984
- Immunology 279
- Physiology 45
- Radiology, Nuclear Medicine and Imaging 196
- Neurology 72
Countries citing papers authored by Pierre Dönnes
This map shows the geographic impact of Pierre Dönnes'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 Pierre Dönnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pierre Dönnes more than expected).
Fields of papers citing papers by Pierre Dönnes
This network shows the impact of papers produced by Pierre Dönnes. 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 Pierre Dönnes. The network helps show where Pierre Dönnes may publish in the future.
Co-authors
The 25 scholars most cited alongside Pierre Dönnes, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 256 | |
| 2 | 2002 | 221 | |
| 3 | 2015 | 214 | |
| 4 | 2004 | 100 | |
| 5 | 2007 | 92 | |
| 6 | 2021 | 85 | |
| 7 | 2018 | 85 | |
| 8 | 2006 | 64 | |
| 9 | 2005 | 62 | |
| 10 | 2020 | 57 | |
| 11 | 2008 | 32 | |
| 12 | 2024 | 31 | |
| 13 | 2020 | 29 | |
| 14 | 2021 | 27 | |
| 15 | 2011 | 26 | |
| 16 | 2018 | 22 | |
| 17 | 2005 | 20 | |
| 18 | 2005 | 19 | |
| 19 | 2018 | 17 | |
| 20 | 2024 | 16 |
About Pierre Dönnes
Pierre Dönnes is a scholar working on Molecular Biology, Immunology, Rheumatology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 37 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), vaccines and immunoinformatics approaches (8 papers), Machine Learning in Bioinformatics (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Systemic Lupus Erythematosus Research (5 papers), T-cell and B-cell Immunology (4 papers), RNA and protein synthesis mechanisms (4 papers) and Rheumatoid Arthritis Research and Therapies (3 papers). The work is most often cited by research in Molecular Biology (984 citations), Immunology (279 citations), Physiology (45 citations), Radiology, Nuclear Medicine and Imaging (196 citations) and Neurology (72 citations). Pierre Dönnes has collaborated with scholars based in Germany, Sweden and United Kingdom. Frequent co-authors include Oliver Kohlbacher, Annette Höglund, Arne Elofsson, Torsten Blum, Tassula Proikas‐Cezanne, Zsuzsanna Takács, Hans‐Werner Adolph, Elizabeth C. Jury, Junjie Peng and Coziana Ciurtin. Their work appears in journals such as Annals of the Rheumatic Diseases, Bioinformatics, PLoS ONE, Cells and PLoS Computational Biology.
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.