Marianne Renner

3.1k total citations
40 papers, 2.3k citations indexed

About

Marianne Renner is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Marianne Renner has authored 40 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 12 papers in Cell Biology. Recurrent topics in Marianne Renner's work include Neuroscience and Neuropharmacology Research (17 papers), Lipid Membrane Structure and Behavior (12 papers) and Cellular transport and secretion (9 papers). Marianne Renner is often cited by papers focused on Neuroscience and Neuropharmacology Research (17 papers), Lipid Membrane Structure and Behavior (12 papers) and Cellular transport and secretion (9 papers). Marianne Renner collaborates with scholars based in France, Argentina and United States. Marianne Renner's co-authors include Antoine Triller, Daniel Choquet, Jian Xu, Pauline T. Velasco, William L. Klein, Anis Contractor, Pascale N. Lacor, Christian G. Specht, Ronald Melki and Amulya Nidhi Shrivastava and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Marianne Renner

40 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marianne Renner France 26 1.2k 1.2k 577 351 293 40 2.3k
Jakub Włodarczyk Poland 29 1.2k 1.0× 933 0.8× 366 0.6× 345 1.0× 365 1.2× 74 2.8k
Jyothi Arikkath United States 19 1.6k 1.3× 1.4k 1.2× 344 0.6× 373 1.1× 221 0.8× 39 2.6k
Hiroto Takahashi Japan 26 1.4k 1.1× 1.3k 1.1× 286 0.5× 238 0.7× 178 0.6× 117 3.2k
Sunghoe Chang South Korea 32 1.7k 1.4× 1.0k 0.9× 464 0.8× 1.5k 4.2× 212 0.7× 97 3.3k
Da‐Ting Lin United States 23 1.1k 0.9× 1.5k 1.3× 216 0.4× 281 0.8× 248 0.8× 60 2.5k
Marina Mikhaylova Germany 29 1.7k 1.4× 1.2k 1.0× 423 0.7× 1.0k 2.9× 170 0.6× 71 2.8k
Harold D. MacGillavry Netherlands 21 1.4k 1.2× 1.3k 1.1× 191 0.3× 364 1.0× 283 1.0× 40 2.6k
Serguei N. Skatchkov Puerto Rico 28 2.5k 2.1× 1.6k 1.3× 281 0.5× 194 0.6× 586 2.0× 77 3.7k
Matthew G. Holt Belgium 29 1.8k 1.5× 1.3k 1.1× 599 1.0× 1.1k 3.2× 651 2.2× 56 3.1k
Werner Zuschratter Germany 38 2.2k 1.8× 2.2k 1.9× 371 0.6× 589 1.7× 431 1.5× 101 4.5k

Countries citing papers authored by Marianne Renner

Since Specialization
Citations

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

Fields of papers citing papers by Marianne Renner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marianne Renner

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

All Works

20 of 20 papers shown
1.
Russeau, Marion, et al.. (2023). Introducing Diinamic, a flexible and robust method for clustering analysis in single-molecule localization microscopy. SHILAP Revista de lepidopterología. 3. e14–e14. 1 indexed citations
2.
Shrivastava, Amulya Nidhi, Luc Bousset, Marianne Renner, et al.. (2020). Differential Membrane Binding and Seeding of Distinct α-Synuclein Fibrillar Polymorphs. Biophysical Journal. 118(6). 1301–1320. 54 indexed citations
3.
Renner, Marianne, et al.. (2020). Molecular Crowding and Diffusion-Capture in Synapses. iScience. 23(8). 101382–101382. 9 indexed citations
4.
Renner, Marianne, et al.. (2018). Activity-Dependent Inhibitory Synapse Scaling Is Determined by Gephyrin Phosphorylation and Subsequent Regulation of GABAAReceptor Diffusion. eNeuro. 5(1). ENEURO.0203–17.2017. 44 indexed citations
5.
Renner, Marianne, et al.. (2018). Sequences Flanking the Gephyrin-Binding Site of GlyRβ Tune Receptor Stabilization at Synapses. eNeuro. 5(1). ENEURO.0042–17.2018. 15 indexed citations
6.
Zhang, Jinwei, Jessica C. Pressey, Sana Al Awabdh, et al.. (2017). GABAA receptor dependent synaptic inhibition rapidly tunes KCC2 activity via the Cl−-sensitive WNK1 kinase. Nature Communications. 8(1). 1776–1776. 74 indexed citations
7.
Renner, Marianne, et al.. (2017). Alpha subunit-dependent glycine receptor clustering and regulation of synaptic receptor numbers. Scientific Reports. 7(1). 10899–10899. 43 indexed citations
8.
Renner, Marianne, et al.. (2017). A Simple and Powerful Analysis of Lateral Subdiffusion Using Single Particle Tracking. Biophysical Journal. 113(11). 2452–2463. 26 indexed citations
9.
Shrivastava, Amulya Nidhi, Virginie Redeker, Nicolas Fritz, et al.. (2016). Data in support of the identification of neuronal and astrocyte proteins interacting with extracellularly applied oligomeric and fibrillar α-synuclein assemblies by mass spectrometry. Data in Brief. 7. 221–228. 11 indexed citations
10.
Shrivastava, Amulya Nidhi, Virginie Redeker, Nicolas Fritz, et al.. (2015). α‐synuclein assemblies sequester neuronal α3‐Na + /K + ‐ ATP ase and impair Na + gradient. The EMBO Journal. 34(19). 2408–2423. 159 indexed citations
11.
Gizzi, Andrés M. Cardozo, et al.. (2015). The Catalytic Efficiency of Lipin 1β Increases by Physically Interacting with the Proto-oncoprotein c-Fos. Journal of Biological Chemistry. 290(49). 29578–29592. 5 indexed citations
12.
13.
Colasse, Sabrina, et al.. (2013). Differential Control of Thrombospondin over Synaptic Glycine and AMPA Receptors in Spinal Cord Neurons. Journal of Neuroscience. 33(28). 11432–11439. 42 indexed citations
14.
Renner, Marianne, Claude Schweizer, Hiroko Bannai, Antoine Triller, & Sabine Lévi. (2012). Diffusion Barriers Constrain Receptors at Synapses. PLoS ONE. 7(8). e43032–e43032. 43 indexed citations
15.
Machado, Patricia, Philippe Rostaing, Jean‐Marie Guigonis, et al.. (2011). Heat Shock Cognate Protein 70 Regulates Gephyrin Clustering. Journal of Neuroscience. 31(1). 3–14. 28 indexed citations
16.
Gizzi, Andrés M. Cardozo, et al.. (2011). c-Fos activates and physically interacts with specific enzymes of the pathway of synthesis of polyphosphoinositides. Molecular Biology of the Cell. 22(24). 4716–4725. 28 indexed citations
17.
Renner, Marianne, Pascale N. Lacor, Pauline T. Velasco, et al.. (2010). Deleterious Effects of Amyloid β Oligomers Acting as an Extracellular Scaffold for mGluR5. Neuron. 66(5). 739–754. 366 indexed citations
18.
Renner, Marianne, Christian G. Specht, & Antoine Triller. (2008). Molecular dynamics of postsynaptic receptors and scaffold proteins. Current Opinion in Neurobiology. 18(5). 532–540. 68 indexed citations
19.
Gil, Germán A., Daniela F. Bussolino, Maximiliano M. Portal, et al.. (2004). c-Fos Activated Phospholipid Synthesis Is Required for Neurite Elongation in Differentiating PC12 Cells. Molecular Biology of the Cell. 15(4). 1881–1894. 63 indexed citations
20.

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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