Damien Maison

523 total citations
8 papers, 393 citations indexed

About

Damien Maison is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Damien Maison has authored 8 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Damien Maison's work include Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). Damien Maison is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), RNA modifications and cancer (2 papers) and Cardiac Valve Diseases and Treatments (2 papers). Damien Maison collaborates with scholars based in Switzerland, Germany and United States. Damien Maison's co-authors include Thierry Pedrazzini, Mohamed Nemir, Samir Ounzain, Alexandre Sarre, Isabelle Plaisance, Michael Alexanian, Rudi Micheletti, Arantxa González, Brian J. Abraham and Richard A. Young and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Cell Science.

In The Last Decade

Damien Maison

8 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Damien Maison Switzerland 6 305 223 107 38 20 8 393
Anne-Claire Godet France 7 257 0.8× 117 0.5× 50 0.5× 35 0.9× 85 4.3× 9 374
Michail Yekelchyk Germany 6 276 0.9× 84 0.4× 53 0.5× 24 0.6× 40 2.0× 9 367
Francesca Fasolo Italy 11 389 1.3× 279 1.3× 27 0.3× 19 0.5× 17 0.8× 13 477
Andreas W. Heumüller Germany 9 517 1.7× 432 1.9× 34 0.3× 26 0.7× 9 0.5× 12 573
Junyu Yan China 11 314 1.0× 166 0.7× 28 0.3× 22 0.6× 17 0.8× 19 396
Laura C. Cobbold United Kingdom 7 404 1.3× 69 0.3× 81 0.8× 10 0.3× 41 2.0× 7 453
Martje Tönjes Germany 6 381 1.2× 49 0.2× 43 0.4× 39 1.0× 20 1.0× 7 435
Ursula Kobalz Germany 7 164 0.5× 43 0.2× 76 0.7× 25 0.7× 63 3.1× 8 292
Yuying Li China 11 432 1.4× 248 1.1× 13 0.1× 29 0.8× 11 0.6× 23 508
Xiaoran Zhang China 10 240 0.8× 41 0.2× 36 0.3× 40 1.1× 11 0.6× 18 298

Countries citing papers authored by Damien Maison

Since Specialization
Citations

This map shows the geographic impact of Damien Maison'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 Damien Maison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damien Maison more than expected).

Fields of papers citing papers by Damien Maison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Damien Maison. 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 Damien Maison. The network helps show where Damien Maison may publish in the future.

Co-authorship network of co-authors of Damien Maison

This figure shows the co-authorship network connecting the top 25 collaborators of Damien Maison. A scholar is included among the top collaborators of Damien Maison 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 Damien Maison. Damien Maison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Straub, Marietta, Alexandra Auderset, Laurence de Leval, et al.. (2023). Nitrogen isotopic composition as a gauge of tumor cell anabolism-to-catabolism ratio. Scientific Reports. 13(1). 19796–19796. 2 indexed citations
2.
Nemir, Mohamed, Damien Maison, Corinne Berthonneche, et al.. (2022). Inhibition of the NOTCH1 Pathway in the Stressed Heart Limits Fibrosis and Promotes Recruitment of Non-Myocyte Cells into the Cardiomyocyte Fate. Journal of Cardiovascular Development and Disease. 9(4). 111–111. 5 indexed citations
3.
Berezowska, Sabina, Karine Lefort, Kalliopi Ioannidou, et al.. (2021). Postmortem Cardiopulmonary Pathology in Patients with COVID-19 Infection: Single-Center Report of 12 Autopsies from Lausanne, Switzerland. Diagnostics. 11(8). 1357–1357. 9 indexed citations
4.
Micheletti, Rudi, Isabelle Plaisance, Brian J. Abraham, et al.. (2017). The long noncoding RNA Wisper controls cardiac fibrosis and remodeling. Science Translational Medicine. 9(395). 249 indexed citations
5.
Micheletti, Rudi, Isabelle Plaisance, Brian J. Abraham, et al.. (2017). The long noncoding RNA Wisper controls cardiac fibrosis and remodeling. DSpace@MIT (Massachusetts Institute of Technology). 24 indexed citations
6.
Alexanian, Michael, Marco Mina, Clayton E. Friedman, et al.. (2017). A transcribed enhancer dictates mesendoderm specification in pluripotency. Nature Communications. 8(1). 1806–1806. 47 indexed citations
7.
Crippa, Stefania, Mohamed Nemir, Samir Ounzain, et al.. (2016). Comparative transcriptome profiling of the injured zebrafish and mouse hearts identifies miRNA-dependent repair pathways. Cardiovascular Research. 110(1). 73–84. 38 indexed citations
8.
Heumann, Rolf, et al.. (1977). Influence of the time in culture on cellular and neuronal properties of neuroblastoma X glioma hybrid cells. Journal of Cell Science. 27(1). 141–155. 19 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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