Patrick Danoy
Impact in
- Rheumatology top 2%
- Spondyloarthritis Studies and Treatments
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
- Gastroenterology top 5%
- Celiac Disease Research and Management
Papers in
-
- DNA Repair Mechanisms 2
- RNA Interference and Gene Delivery 2
- Rheumatology 11
- Spondyloarthritis Studies and Treatments 9
- Rheumatoid Arthritis Research and Therapies 3
- Co-authors
- Matthew A. Brown (17 shared papers)Huji Xu (6 shared papers)Mark Lathrop (4 shared papers)Dominique Gauguier (4 shared papers)Gethin Thomas (3 shared papers)Richard A. Sturm (3 shared papers)Emma L. Duncan (2 shared papers)Christophe Benoıst (1 shared paper)
- Journals
- Annals of the Rheumatic Diseases (3 papers)Biochemical Pharmacology (2 papers)Genomics (2 papers)PLoS Genetics (2 papers)PLoS ONE (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Patrick Danoy
32 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 87
- Rheumatology 454
- Gastroenterology 84
- Immunology 286
- Ophthalmology 93
- Hematology 114
Countries citing papers authored by Patrick Danoy
This map shows the geographic impact of Patrick Danoy'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 Patrick Danoy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Danoy more than expected).
Fields of papers citing papers by Patrick Danoy
This network shows the impact of papers produced by Patrick Danoy. 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 Patrick Danoy. The network helps show where Patrick Danoy may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Danoy, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 130 | |
| 2 | 2009 | 114 | |
| 3 | 2010 | 102 | |
| 4 | 2015 | 90 | |
| 5 | 2013 | 83 | |
| 6 | 2010 | 76 | |
| 7 | 2005 | 75 | |
| 8 | 2014 | 69 | |
| 9 | 2012 | 65 | |
| 10 | 2007 | 62 | |
| 11 | 2009 | 52 | |
| 12 | 2010 | 43 | |
| 13 | 1997 | 36 | |
| 14 | 2012 | 36 | |
| 15 | 1993 | 35 | |
| 16 | 2001 | 32 | |
| 17 | 2006 | 32 | |
| 18 | 2013 | 27 | |
| 19 | 1994 | 24 | |
| 20 | 2010 | 22 |
About Patrick Danoy
Patrick Danoy is a scholar working on Molecular Biology, Rheumatology, Genetics, Immunology and Oncology, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (9 papers), T-cell and B-cell Immunology (4 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), DNA Repair Mechanisms (2 papers), RNA Interference and Gene Delivery (2 papers), interferon and immune responses (2 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Rheumatology (454 citations), Gastroenterology (84 citations), Immunology (286 citations), Ophthalmology (93 citations) and Hematology (114 citations). Patrick Danoy has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Matthew A. Brown, Huji Xu, Mark Lathrop, Dominique Gauguier, Gethin Thomas, Richard A. Sturm, Emma L. Duncan, Christophe Benoıst, Diane Mathis and Henri‐Jean Garchon. Their work appears in journals such as Annals of the Rheumatic Diseases, Biochemical Pharmacology, Genomics, PLoS Genetics and PLoS ONE.
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.