Dieter Demon
Impact in
- Immunology top 5%
- Immune Response and Inflammation
- interferon and immune responses
- IL-33, ST2, and ILC Pathways
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
Papers in
-
- Inflammasome and immune disorders 14
- Cell death mechanisms and regulation 3
- Machine Learning in Bioinformatics 2
- Immunology 14
- Immune Response and Inflammation 6
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 3
- Co-authors
- Mohamed Lamkanfi (10 shared papers)Lieselotte Vande Walle (6 shared papers)Thirumala‐Devi Kanneganti (3 shared papers)Evelyne Meyer (9 shared papers)Pedro Saavedra (4 shared papers)Peter Vandenabeele (7 shared papers)Tom Vanden Berghe (6 shared papers)Filip Van Hauwermeiren (4 shared papers)
In The Last Decade
Dieter Demon
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 93
- Immunology 577
- Nephrology 155
- Molecular Biology 1.0k
- Endocrinology 51
- Agronomy and Crop Science 94
Countries citing papers authored by Dieter Demon
This map shows the geographic impact of Dieter Demon'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 Dieter Demon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dieter Demon more than expected).
Fields of papers citing papers by Dieter Demon
This network shows the impact of papers produced by Dieter Demon. 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 Dieter Demon. The network helps show where Dieter Demon may publish in the future.
Co-authors
The 25 scholars most cited alongside Dieter Demon, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 206 | |
| 2 | 2016 | 141 | |
| 3 | 2014 | 136 | |
| 4 | 2019 | 116 | |
| 5 | 2017 | 108 | |
| 6 | 2014 | 96 | |
| 7 | 2012 | 81 | |
| 8 | 2009 | 61 | |
| 9 | 2022 | 58 | |
| 10 | 2015 | 49 | |
| 11 | 2011 | 41 | |
| 12 | 2017 | 40 | |
| 13 | 2009 | 39 | |
| 14 | 2015 | 38 | |
| 15 | 2008 | 34 | |
| 16 | 2012 | 26 | |
| 17 | 2009 | 26 | |
| 18 | 2012 | 22 | |
| 19 | 2014 | 21 | |
| 20 | 2015 | 18 |
About Dieter Demon
Dieter Demon is a scholar working on Molecular Biology, Immunology, Agronomy and Crop Science, Nephrology and Epidemiology, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (14 papers), Immune Response and Inflammation (6 papers), Milk Quality and Mastitis in Dairy Cows (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Sepsis Diagnosis and Treatment (3 papers), Cell death mechanisms and regulation (3 papers), Probiotics and Fermented Foods (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Immunology (577 citations), Nephrology (155 citations), Molecular Biology (1.0k citations), Endocrinology (51 citations) and Agronomy and Crop Science (94 citations). Dieter Demon has collaborated with scholars based in Belgium, Germany and France. Frequent co-authors include Mohamed Lamkanfi, Lieselotte Vande Walle, Thirumala‐Devi Kanneganti, Evelyne Meyer, Pedro Saavedra, Peter Vandenabeele, Tom Vanden Berghe, Filip Van Hauwermeiren, Prajwal Gurung and Hanne Van Gorp. Their work appears in journals such as Veterinary Immunology and Immunopathology, Molecular & Cellular Proteomics, Mucosal Immunology, Journal of Neuroinflammation and Frontiers in Immunology.
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.