Frédéric Dandré

1.1k total citations
8 papers, 897 citations indexed

About

Frédéric Dandré is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Frédéric Dandré has authored 8 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Cell Biology. Recurrent topics in Frédéric Dandré's work include RNA Research and Splicing (3 papers), Signaling Pathways in Disease (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). Frédéric Dandré is often cited by papers focused on RNA Research and Splicing (3 papers), Signaling Pathways in Disease (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). Frédéric Dandré collaborates with scholars based in France, United States and Russia. Frédéric Dandré's co-authors include Gary K. Owens, Mark H. Hoofnagle, Brian R. Wamhoff, Brandon E. Kremer, Eric N. Olson, Sanjay Sinha, Da‐Zhi Wang, Tadashi Yoshida, Hon S. Ip and Min Lü and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Molecular and Cellular Biology.

In The Last Decade

Frédéric Dandré

8 papers receiving 883 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Frédéric Dandré France	7	620	140	127	90	88	8	897
April M. Hoggatt United States	17	506 0.8×	97 0.7×	64 0.5×	70 0.8×	97 1.1×	33	746
Polyxenie E. Spoerri United States	12	626 1.0×	196 1.4×	47 0.4×	115 1.3×	113 1.3×	15	1.2k
Mousumi Majumdar United States	9	585 0.9×	208 1.5×	72 0.6×	128 1.4×	66 0.8×	9	872
Paul McGuire United States	18	580 0.9×	180 1.3×	81 0.6×	63 0.7×	62 0.7×	27	1.6k
K. Nguyen United States	7	324 0.5×	77 0.6×	102 0.8×	56 0.6×	87 1.0×	10	1.3k
Eva Pipili‐Synetos Greece	13	382 0.6×	175 1.3×	120 0.9×	30 0.3×	58 0.7×	16	805
Angelika Kusch Germany	15	277 0.4×	110 0.8×	79 0.6×	74 0.8×	95 1.1×	24	619
Zhengyu Luo United States	19	786 1.3×	237 1.7×	234 1.8×	55 0.6×	235 2.7×	28	1.3k
Ela Karshovska Germany	13	478 0.8×	252 1.8×	100 0.8×	71 0.8×	114 1.3×	17	871
Ulrike Seay Germany	11	389 0.6×	116 0.8×	78 0.6×	113 1.3×	101 1.1×	15	672

Countries citing papers authored by Frédéric Dandré

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Frédéric Dandré

This figure shows the co-authorship network connecting the top 25 collaborators of Frédéric Dandré. A scholar is included among the top collaborators of Frédéric Dandré based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Frédéric Dandré. Frédéric Dandré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Dandré, Frédéric & Gary K. Owens. (2004). Platelet-derived growth factor-BB and Ets-1 transcription factor negatively regulate transcription of multiple smooth muscle cell differentiation marker genes. American Journal of Physiology-Heart and Circulatory Physiology. 286(6). H2042–H2051. 99 indexed citations

Du, Kevin, Hon S. Ip, Jian Li, et al.. (2003). Myocardin Is a Critical Serum Response Factor Cofactor in the Transcriptional Program Regulating Smooth Muscle Cell Differentiation. Molecular and Cellular Biology. 23(7). 2425–2437. 299 indexed citations

Yoshida, Tadashi, Sanjay Sinha, Frédéric Dandré, et al.. (2003). Myocardin Is a Key Regulator of CArG-Dependent Transcription of Multiple Smooth Muscle Marker Genes. Circulation Research. 92(8). 856–864. 302 indexed citations

Mericskay, Mathias, Ara Parlakian, Arlette Porteu, et al.. (2000). An Overlapping CArG/Octamer Element Is Required for Regulation of desmin Gene Transcription in Arterial Smooth Muscle Cells. Developmental Biology. 226(2). 192–208. 43 indexed citations

Peyot, Marie‐Line, et al.. (2000). Extracellular Adenosine Induces Apoptosis of Human Arterial Smooth Muscle Cells via A_2b-Purinoceptor. Circulation Research. 86(1). 76–85. 88 indexed citations

Lavie, Julie, Frédéric Dandré, Huguette Louis, Jean‐Marie Daniel Lamazière, & Jacques Bonnet. (1999). Vascular Cell Adhesion Molecule-1 Gene Expression during Human Smooth Muscle Cell Differentiation Is Independent of NF-κB Activation. Journal of Biological Chemistry. 274(4). 2308–2314. 21 indexed citations

Dufourcq, Pascale, Huguette Louis, Frédéric Dandré, et al.. (1997). Phenotypic modification of arterial smooth muscle cells in response to medial dissection. Coronary Artery Disease. 8(3/4). 163–170. 6 indexed citations

Dandré, Frédéric, A Cassaigne, & A. Iron. (1995). The frequency of the mitochondrial aldehyde dehydrogenase I2 (atypical) allele in Caucasian, Oriental and African black populations determined by the restriction profile of PCR-amplified DNA. Molecular and Cellular Probes. 9(3). 189–193. 39 indexed citations

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.

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