Renaud Wagner

1.5k total citations
54 papers, 1.1k citations indexed

About

Renaud Wagner is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Renaud Wagner has authored 54 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 19 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Renaud Wagner's work include Receptor Mechanisms and Signaling (21 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and Fungal and yeast genetics research (10 papers). Renaud Wagner is often cited by papers focused on Receptor Mechanisms and Signaling (21 papers), Monoclonal and Polyclonal Antibodies Research (19 papers) and Fungal and yeast genetics research (10 papers). Renaud Wagner collaborates with scholars based in France, United Kingdom and Germany. Renaud Wagner's co-authors include Franc Pattus, Thierry Magnin, Christoph Reinhart, Nicolás André, Gabrielle Zeder‐Lutz, Hartmut Michel, Fatima Alkhalfioui, Aline Desmyter, Christian Cambillau and Kenneth Lundström and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemistry.

In The Last Decade

Renaud Wagner

54 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Renaud Wagner France 20 897 245 205 123 89 54 1.1k
Dianne Alewood Australia 20 1.5k 1.7× 267 1.1× 157 0.8× 208 1.7× 79 0.9× 30 1.9k
Steven J. Bark United States 18 786 0.9× 192 0.8× 80 0.4× 71 0.6× 156 1.8× 38 1.2k
Christoph Klenk Germany 16 777 0.9× 297 1.2× 165 0.8× 69 0.6× 62 0.7× 24 960
Carol M. Beach United States 16 1.0k 1.1× 168 0.7× 287 1.4× 103 0.8× 27 0.3× 25 1.7k
Arnaud Leroy France 23 1.0k 1.1× 175 0.7× 70 0.3× 60 0.5× 112 1.3× 38 1.6k
Tomomi Kimura‐Someya Japan 17 486 0.5× 186 0.8× 60 0.3× 110 0.9× 30 0.3× 28 869
Pau-Miau Yuan United States 12 776 0.9× 148 0.6× 66 0.3× 206 1.7× 96 1.1× 18 1.3k
Sanduo Zheng China 20 1.4k 1.6× 297 1.2× 260 1.3× 179 1.5× 29 0.3× 35 1.8k
Daniel Chelsky United States 20 1.1k 1.3× 94 0.4× 79 0.4× 193 1.6× 93 1.0× 36 1.5k
Jeffrey Tarrasch United States 10 1.6k 1.8× 769 3.1× 214 1.0× 40 0.3× 130 1.5× 11 2.0k

Countries citing papers authored by Renaud Wagner

Since Specialization
Citations

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

Fields of papers citing papers by Renaud Wagner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renaud Wagner

This figure shows the co-authorship network connecting the top 25 collaborators of Renaud Wagner. A scholar is included among the top collaborators of Renaud Wagner 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 Renaud Wagner. Renaud Wagner 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.
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Vénien‐Bryan, Catherine, et al.. (2024). Cryo–electron microscopy unveils the gating mechanism of the human Kir2.1 channel. SHILAP Revista de lepidopterología. 129. 21006–21006. 1 indexed citations
3.
Pozza, Alexandre, Valérie Kugler, Françoise Bonneté, et al.. (2024). Biochemical, biophysical, and structural investigations of two mutants ( C154Y and R312H ) of the human Kir2.1 channel involved in the Andersen‐Tawil syndrome. The FASEB Journal. 38(21). e70146–e70146. 3 indexed citations
4.
Fernandes, Carlos A. H., et al.. (2024). Cryo-electron microscopy structure of human Kir2.1 potassium channel bound to the activator PIP2 reveals its gating mechanism. Biophysical Journal. 123(3). 28a–28a. 1 indexed citations
5.
Zeder‐Lutz, Gabrielle, Jean‐Marc Strub, Adilya Dagkesamanskaya, et al.. (2023). Genetic Incorporation of Non-canonical Amino Acids in Anti-HER2 VHH: Expression and Characterization. HAL (Le Centre pour la Communication Scientifique Directe). 24–42. 1 indexed citations
6.
Wagner, Renaud, et al.. (2023). Extending the Affinity Range of Weak Affinity Chromatography for the Identification of Weak Ligands Targeting Membrane Proteins. Molecules. 28(20). 7113–7113. 1 indexed citations
7.
Zeder‐Lutz, Gabrielle, Olivier Bornert, Pascal Villa, et al.. (2023). Characterization of anti-GASP motif antibodies that inhibit the interaction between GPRASP1 and G protein-coupled receptors. Analytical Biochemistry. 665. 115062–115062. 1 indexed citations
8.
Fernandes, Carlos A. H., Valérie Kugler, Gérard Péhau‐Arnaudet, et al.. (2022). Cryo–electron microscopy unveils unique structural features of the human Kir2.1 channel. Science Advances. 8(38). eabq8489–eabq8489. 22 indexed citations
9.
Botzanowski, Thomas, Mathieu Galibert, E Chabrol, et al.. (2019). VHH characterization. Comparison of recombinant with chemically synthesized anti‐HER2 VHH. Protein Science. 28(10). 1865–1879. 15 indexed citations
10.
Wagner, Renaud, et al.. (2017). Direct Extraction and Purification of Recombinant Membrane Proteins from Pichia pastoris Protoplasts. Methods in molecular biology. 1635. 45–56. 8 indexed citations
11.
Chaptal, Vincent, Frédéric Delolme, Cédric Montigny, et al.. (2017). Quantification of Detergents Complexed with Membrane Proteins. Scientific Reports. 7(1). 41751–41751. 54 indexed citations
12.
13.
Kugler, Valérie, et al.. (2016). Expression of Eukaryotic Membrane Proteins in Pichia pastoris. Methods in molecular biology. 1432. 143–162. 14 indexed citations
14.
Jorge, Soraia Attie Calil, et al.. (2013). Quantitative RT-PCR for titration of replication-defective recombinant Semliki Forest virus. Journal of Virological Methods. 193(2). 647–652. 15 indexed citations
15.
Singh, Shweta, et al.. (2012). Screening for High-Yielding Pichia pastoris Clones: The Production of G Protein-Coupled Receptors as a Case Study. Methods in molecular biology. 866. 65–73. 6 indexed citations
16.
Astray, Renato Mancini, et al.. (2008). High-level expression of rabies virus glycoprotein with the RNA-based Semliki Forest Virus expression vector. Journal of Biotechnology. 139(4). 283–290. 16 indexed citations
17.
Wagner, Renaud, Jacky de Montigny, P de Wergifosse, Jean‐Luc Souciet, & Serge Potier. (1998). The ORFYBL042ofSaccharomyces cerevisiaeencodes a uridine permease. FEMS Microbiology Letters. 159(1). 69–75. 25 indexed citations
18.
Wagner, Renaud. (1998). The ORF YBL042 of Saccharomyces cerevisiae encodes a uridine permease. FEMS Microbiology Letters. 159(1). 69–75. 1 indexed citations
19.
Montigny, Jacky de, Marie‐Laure Straub, Renaud Wagner, Marie-Louise Bach, & M. R. Chevallier. (1998). The uracil permease ofSchizosaccharomyces pombe: A representative of a family of 10 transmembrane helix transporter proteins of yeasts. Yeast. 14(11). 1051–1059. 10 indexed citations
20.
Tricarico, Domenico, Renaud Wagner, Rosanna Mallamaci, & Diana Conte Camerino. (1994). Cysteine Restores the Activity of ATP‐Sensitive Potassium Channels of Skeletal Muscle Fibers of Aged Ratsa. Annals of the New York Academy of Sciences. 717(1). 244–252. 4 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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