Florence Apparailly
Impact in
- Genetics top 0.2%
- Mesenchymal stem cell research
- Virus-based gene therapy research
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Rheumatology 34
- Rheumatoid Arthritis Research and Therapies 18
- Osteoarthritis Treatment and Mechanisms 13
-
- MicroRNA in disease regulation 24
- Cancer-related molecular mechanisms research 12
- Co-authors
- Christian JørgensenDanièle NoëlPascale Louis‐PlenceFarida DjouadClaire BonyJ SanyIsabelle Duroux-RichardPhilippe Tropel
- Journals
- Annals of the Rheumatic Diseases (10 papers)Frontiers in Immunology (6 papers)Arthritis Research & Therapy (5 papers)Nature Reviews Rheumatology (4 papers)Human Gene Therapy (4 papers)
- Partner nations
- FranceNetherlandsUnited Kingdom
In The Last Decade
Florence Apparailly
116 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Genetics 2.0k
- Cancer Research 1.4k
- Rheumatology 1.1k
- Immunology 1.4k
- Oncology 1.1k
Countries citing papers authored by Florence Apparailly
This map shows the geographic impact of Florence Apparailly'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 Florence Apparailly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florence Apparailly more than expected).
Fields of papers citing papers by Florence Apparailly
This network shows the impact of papers produced by Florence Apparailly. 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 Florence Apparailly. The network helps show where Florence Apparailly may publish in the future.
Co-authors
The 25 scholars most cited alongside Florence Apparailly, 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 | 2025 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 11 | |
| 5 | 2018 | 19 | |
| 6 | 2018 | 38 | |
| 7 | 2017 | 31 | |
| 8 | 2017 | 9 | |
| 9 | 2014 | 65 | |
| 10 | 2013 | 46 | |
| 11 | 2012 | 173 | |
| 12 | 2011 | 22 | |
| 13 | 2010 | 24 | |
| 14 | 2009 | 23 | |
| 15 | 2006 | 80 | |
| 16 | 2006 | 28 | |
| 17 | 2005 | 167 | |
| 18 | 2002 | 25 | |
| 19 | 1999 | 12 | |
| 20 | 1994 | 8 |
About Florence Apparailly
Florence Apparailly is a scholar working on Rheumatology, Cancer Research, Immunology, Genetics and Immunology and Allergy, having authored 119 papers that have together received 6.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (24 papers), Virus-based gene therapy research (18 papers), Rheumatoid Arthritis Research and Therapies (18 papers), Mesenchymal stem cell research (15 papers), Viral Infections and Immunology Research (15 papers), RNA Interference and Gene Delivery (14 papers), Osteoarthritis Treatment and Mechanisms (13 papers) and Cancer-related molecular mechanisms research (12 papers). The work is most often cited by research in Genetics (2.0k citations), Cancer Research (1.4k citations), Rheumatology (1.1k citations), Immunology (1.4k citations) and Oncology (1.1k citations). Florence Apparailly has collaborated with scholars based in France, Netherlands and United Kingdom. Frequent co-authors include Christian Jørgensen, Danièle Noël, Pascale Louis‐Plence, Farida Djouad, Claire Bony, J Sany, Isabelle Duroux-Richard, Philippe Tropel, Gabriel Courties and Vanessa Fritz. Their work appears in journals such as Annals of the Rheumatic Diseases, Frontiers in Immunology, Arthritis Research & Therapy, Nature Reviews Rheumatology and Human Gene Therapy.
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.