Bénédicte Danis
Impact in
- Immunology top 5%
- Immune Response and Inflammation
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Epidemiology top 5%
- Autophagy in Disease and Therapy
Papers in
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- RNA Interference and Gene Delivery 2
- Advanced biosensing and bioanalysis techniques 2
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- Immunotherapy and Immune Responses 2
- Immune Cell Function and Interaction 2
- Co-authors
- Tica Pichulik (2 shared papers)Alison Simmons (2 shared papers)Oliver Brain (2 shared papers)Barry J. Campbell (1 shared paper)Rachel Cooney (1 shared paper)David Ferguson (1 shared paper)Derek P. Jewell (1 shared paper)Philip Allan (1 shared paper)
- Journals
- European Journal of Immunology (3 papers)Nature Medicine (1 paper)Genome Research (1 paper)Neurotherapeutics (1 paper)Journal of Molecular Neuroscience (1 paper)
- Partner nations
- BelgiumUnited KingdomGermany
In The Last Decade
Bénédicte Danis
13 papers receiving 1.3k citations
Bénédicte Danis's Hit Papers
Peers
Comparison fields: 5 of 86
- Immunology 453
- Epidemiology 416
- Physiology 52
- Genetics 257
- Cancer Research 127
Countries citing papers authored by Bénédicte Danis
This map shows the geographic impact of Bénédicte Danis'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 Bénédicte Danis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bénédicte Danis more than expected).
Fields of papers citing papers by Bénédicte Danis
This network shows the impact of papers produced by Bénédicte Danis. 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 Bénédicte Danis. The network helps show where Bénédicte Danis may publish in the future.
Co-authors
The 25 scholars most cited alongside Bénédicte Danis, 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 | NOD2 stimulation induces autophagy in dendritic cells influencing bacterial handling and antigen presentation Hit paper breakdown → | 2009 | 829 |
| 2 | 2013 | 104 | |
| 3 | 2008 | 82 | |
| 4 | 2017 | 64 | |
| 5 | 2014 | 54 | |
| 6 | 2009 | 49 | |
| 7 | 2016 | 48 | |
| 8 | 2016 | 33 | |
| 9 | 2014 | 28 | |
| 10 | 2018 | 21 | |
| 11 | 2016 | 17 | |
| 12 | 2015 | 13 | |
| 13 | 2023 | 1 |
About Bénédicte Danis
Bénédicte Danis is a scholar working on Molecular Biology, Immunology, Cancer Research, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Viral Infections and Immunology Research (3 papers), Immunotherapy and Immune Responses (2 papers), Neuroscience and Neuropharmacology Research (2 papers), RNA Interference and Gene Delivery (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Immune Cell Function and Interaction (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Immunology (453 citations), Epidemiology (416 citations), Physiology (52 citations), Genetics (257 citations) and Cancer Research (127 citations). Bénédicte Danis has collaborated with scholars based in Belgium, United Kingdom and Germany. Frequent co-authors include Tica Pichulik, Alison Simmons, Oliver Brain, Barry J. Campbell, Rachel Cooney, David Ferguson, Derek P. Jewell, Philip Allan, Patrik Foerch and Rafał M. Kamiński. Their work appears in journals such as European Journal of Immunology, Nature Medicine, Genome Research, Neurotherapeutics and Journal of Molecular Neuroscience.
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.