David Marcellin

697 total citations
9 papers, 407 citations indexed

About

David Marcellin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, David Marcellin has authored 9 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in David Marcellin's work include Mitochondrial Function and Pathology (5 papers), Muscle Physiology and Disorders (3 papers) and Genetic Neurodegenerative Diseases (3 papers). David Marcellin is often cited by papers focused on Mitochondrial Function and Pathology (5 papers), Muscle Physiology and Disorders (3 papers) and Genetic Neurodegenerative Diseases (3 papers). David Marcellin collaborates with scholars based in Switzerland, United Kingdom and Germany. David Marcellin's co-authors include Paolo Paganetti, Barbara Baldo, Christophe Crochemore, Ana Roscic, Gregor P. Lotz, Andreas Weiss, Estelle Lach‐Trifilieff, Jérôme N. Feige, Gillian P. Bates and Brigitte Fournier and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

David Marcellin

9 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Marcellin Switzerland 8 258 158 113 77 72 9 407
Gloria M. Palomo Spain 8 300 1.2× 107 0.7× 93 0.8× 205 2.7× 143 2.0× 11 537
Ismini Kloukina Greece 12 272 1.1× 88 0.6× 80 0.7× 148 1.9× 96 1.3× 19 572
Bavo Heeman Belgium 9 262 1.0× 118 0.7× 145 1.3× 193 2.5× 72 1.0× 10 492
Ndidi-Ese Uzor United States 9 246 1.0× 53 0.3× 86 0.8× 34 0.4× 114 1.6× 11 439
Hsiu-Chuan Wu Taiwan 10 245 0.9× 67 0.4× 116 1.0× 167 2.2× 118 1.6× 20 464
Dina Ivanyuk Germany 5 249 1.0× 92 0.6× 125 1.1× 120 1.6× 63 0.9× 6 476
Andreas Dalski Germany 10 309 1.2× 249 1.6× 76 0.7× 84 1.1× 43 0.6× 16 457
Nicola Lax United Kingdom 5 268 1.0× 78 0.5× 73 0.6× 115 1.5× 33 0.5× 5 505
Vasiliki Panagiotakopoulou Germany 7 278 1.1× 109 0.7× 130 1.2× 125 1.6× 67 0.9× 7 558
Maya Ando Japan 7 213 0.8× 96 0.6× 71 0.6× 198 2.6× 163 2.3× 15 425

Countries citing papers authored by David Marcellin

Since Specialization
Citations

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

Fields of papers citing papers by David Marcellin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Marcellin

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

All Works

9 of 9 papers shown
1.
Russell, Oliver M., Isabelle Fruh, David Marcellin, et al.. (2018). Preferential amplification of a human mitochondrial DNA deletion in vitro and in vivo. Scientific Reports. 8(1). 1799–1799. 27 indexed citations
3.
Marcellin, David, Dorothée Abramowski, Douglas B. Young, et al.. (2012). Fragments of HdhQ150 Mutant Huntingtin Form a Soluble Oligomer Pool That Declines with Aggregate Deposition upon Aging. PLoS ONE. 7(9). e44457–e44457. 23 indexed citations
4.
Baldo, Barbara, Paolo Paganetti, Stephan Grueninger, et al.. (2012). TR-FRET-Based Duplex Immunoassay Reveals an Inverse Correlation of Soluble and Aggregated Mutant huntingtin in Huntington's Disease. Chemistry & Biology. 19(2). 264–275. 59 indexed citations
5.
Bidinosti, Michael, Derya R. Shimshek, Brit Mollenhauer, et al.. (2012). Novel One-step Immunoassays to Quantify α-Synuclein. Journal of Biological Chemistry. 287(40). 33691–33705. 39 indexed citations
6.
Gut, H., Debby Hynx, David Marcellin, et al.. (2012). Acyl Coenzyme A Thioesterase Them5/Acot15 Is Involved in Cardiolipin Remodeling and Fatty Liver Development. Molecular and Cellular Biology. 32(14). 2685–2697. 49 indexed citations
7.
Fournier, Brigitte, Ben J. Murray, Sabine Gutzwiller, et al.. (2012). Blockade of the Activin Receptor IIB Activates Functional Brown Adipogenesis and Thermogenesis by Inducing Mitochondrial Oxidative Metabolism. Molecular and Cellular Biology. 32(14). 2871–2879. 101 indexed citations
8.
Roscic, Ana, Barbara Baldo, Christophe Crochemore, David Marcellin, & Paolo Paganetti. (2011). Induction of autophagy with catalytic mTOR inhibitors reduces huntingtin aggregates in a neuronal cell model. Journal of Neurochemistry. 119(2). 398–407. 74 indexed citations
9.
Walmsley, Adrian R., Gregor McCombie, Ulf Neumann, et al.. (2004). Zinc metalloproteinase-mediated cleavage of the human Nogo-66 receptor. Journal of Cell Science. 117(19). 4591–4602. 33 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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