Frédéric Rosa
- Cell Biology top 0.5%
- Zebrafish Biomedical Research Applications 19
- Molecular Biology top 2%
- Developmental Biology and Gene Regulation 39
- Congenital heart defects research 21
- TGF-β signaling in diseases 9
- Wnt/β-catenin signaling in development and cancer 6
- Developmental Neuroscience top 5%
- Cancer Research top 5%
- Immunology top 5%
- T-cell and B-cell Immunology 14
- Immune Cell Function and Interaction 5
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- Monoclonal and Polyclonal Antibodies Research 9
- Co-authors
- Marc FellousNicolas B. DavidLaure Saint-EtienneIgor B. DawidNadine PeyriérasPhilippe MourrainUwe SträhleDavid Danielpour
- Journals
- Development (13 papers)Mechanisms of Development (8 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Frédéric Rosa
76 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 130
- Cell Biology 1.2k
- Molecular Biology 3.1k
- Developmental Neuroscience 160
- Cancer Research 462
- Immunology 644
Countries citing papers authored by Frédéric Rosa
This map shows the geographic impact of Frédéric Rosa'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 Frédéric Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Rosa more than expected).
Fields of papers citing papers by Frédéric Rosa
This network shows the impact of papers produced by Frédéric Rosa. 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 Frédéric Rosa. The network helps show where Frédéric Rosa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frédéric Rosa, 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 | 2024 | 0 | |
| 2 | 2022 | 1 | |
| 3 | 2008 | 55 | |
| 4 | 2007 | 326 | |
| 5 | 2004 | 43 | |
| 6 | 2004 | 28 | |
| 7 | 2003 | 53 | |
| 8 | 2002 | 259 | |
| 9 | 2002 | 18 | |
| 10 | 2002 | 39 | |
| 11 | 2002 | 52 | |
| 12 | 2001 | 17 | |
| 13 | 2001 | 158 | |
| 14 | 2000 | 42 | |
| 15 | 2000 | 28 | |
| 16 | 1999 | 15 | |
| 17 | 1997 | 22 | |
| 18 | 1995 | 75 | |
| 19 | 1990 | 59 | |
| 20 | [Presence of 2 different epitopes on the human beta 2-microglobulin defined by monoclonal antibodies]. | 1983 | 5 |
About Frédéric Rosa
Frédéric Rosa is a scholar working on Cell Biology, Immunology and Molecular Biology, having authored 77 papers that have together received 4.6k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (39 papers), Congenital heart defects research (21 papers), Zebrafish Biomedical Research Applications (19 papers), T-cell and B-cell Immunology (14 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), TGF-β signaling in diseases (9 papers), Wnt/β-catenin signaling in development and cancer (6 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Cell Biology (1.2k citations), Molecular Biology (3.1k citations) and Developmental Neuroscience (160 citations). Frédéric Rosa has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Marc Fellous, Nicolas B. David, Laure Saint-Etienne, Igor B. Dawid, Nadine Peyriéras, Philippe Mourrain, Uwe Strähle, David Danielpour, Stephen W. Wilson and Anita B. Roberts. Their work appears in journals such as Development, Mechanisms of Development, Proceedings of the National Academy of Sciences, Developmental Biology and Genes & Development.
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.