Frédéric Dandré
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
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- Genomics and Chromatin Dynamics
- Congenital heart defects research
- Developmental Biology and Gene Regulation
- Kruppel-like factors research
- Protein Kinase Regulation and GTPase Signaling
- TGF-β signaling in diseases
Papers in
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- Adenosine and Purinergic Signaling 1
-
- Genomics and Chromatin Dynamics 3
- Protein Kinase Regulation and GTPase Signaling 2
- TGF-β signaling in diseases 1
- Co-authors
- Gary K. Owens (3 shared papers)Michael S. Parmacek (1 shared paper)Tadashi Yoshida (1 shared paper)Mark Houston Hoofnagle (1 shared paper)Hon S. Ip (1 shared paper)Brian R. Wamhoff (1 shared paper)Mary Chen (1 shared paper)Min M. Lu (1 shared paper)
- Journals
- Circulation Research (2 papers)Molecular and Cellular Biology (1 paper)Coronary Artery Disease (1 paper)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- FranceUnited States
In The Last Decade
Frédéric Dandré
8 papers receiving 905 citations
Peers
Comparison fields: 5 of 50
- Physiology 63
- Molecular Biology 502
- Cell Biology 87
- Immunology 108
- Genetics 43
Countries citing papers authored by Frédéric Dandré
This map shows the geographic impact of Frédéric Dandré'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 Dandré with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frédéric Dandré more than expected).
Fields of papers citing papers by Frédéric Dandré
This network shows the impact of papers produced by Frédéric Dandré. 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 Dandré. The network helps show where Frédéric Dandré may publish in the future.
Co-authors
The 25 scholars most cited alongside Frédéric Dandré, 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 | 2003 | 308 | |
| 2 | 2003 | 306 | |
| 3 | 2004 | 100 | |
| 4 | 2000 | 90 | |
| 5 | 2000 | 46 | |
| 6 | 1995 | 38 | |
| 7 | 1999 | 20 | |
| 8 | 1997 | 6 |
About Frédéric Dandré
Frédéric Dandré is a scholar working on Physiology, Molecular Biology, Cancer Research, Cell Biology and Surgery, having authored 8 papers that have together received 914 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Skin and Cellular Biology Research (1 paper), NF-κB Signaling Pathways (1 paper), Peripheral Artery Disease Management (1 paper), Adenosine and Purinergic Signaling (1 paper), Genetic Associations and Epidemiology (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Physiology (63 citations), Molecular Biology (502 citations), Cell Biology (87 citations), Immunology (108 citations) and Genetics (43 citations). Frédéric Dandré has collaborated with scholars based in France and United States. Frequent co-authors include Gary K. Owens, Michael S. Parmacek, Tadashi Yoshida, Mark Houston Hoofnagle, Hon S. Ip, Brian R. Wamhoff, Mary Chen, Min M. Lu, Kevin Lee Du and Sanjay Sinha. Their work appears in journals such as Circulation Research, Molecular and Cellular Biology, Coronary Artery Disease, American Journal of Physiology-Heart and Circulatory Physiology and Journal of Biological Chemistry.
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.