Thibault Viennet

896 total citations
28 papers, 580 citations indexed

About

Thibault Viennet is a scholar working on Molecular Biology, Spectroscopy and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thibault Viennet has authored 28 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Spectroscopy and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thibault Viennet's work include Advanced NMR Techniques and Applications (7 papers), Protein Structure and Dynamics (6 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Thibault Viennet is often cited by papers focused on Advanced NMR Techniques and Applications (7 papers), Protein Structure and Dynamics (6 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Thibault Viennet collaborates with scholars based in United States, Germany and Denmark. Thibault Viennet's co-authors include Manuel Etzkorn, Haribabu Arthanari, Aldino Viegas, Henrike Heise, Philip A. Cole, Birgit Strodel, Hamed Shaykhalishahi, Wolfgang Hoyer, Ognyan Petrov and Vladimir Gelev and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Thibault Viennet

26 papers receiving 576 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thibault Viennet United States 14 355 152 89 75 64 28 580
Constantin Job United States 15 433 1.2× 178 1.2× 40 0.4× 33 0.4× 54 0.8× 26 707
Jennifer C. Boatz United States 11 388 1.1× 107 0.7× 133 1.5× 56 0.7× 62 1.0× 12 621
ShengQi Xiang China 17 452 1.3× 252 1.7× 161 1.8× 26 0.3× 48 0.8× 42 735
Thomas C. Schwarz Austria 11 254 0.7× 72 0.5× 95 1.1× 39 0.5× 31 0.5× 14 348
Kristin M. Slade United States 11 411 1.2× 63 0.4× 137 1.5× 38 0.5× 27 0.4× 16 533
Miguel Mompeán Spain 13 594 1.7× 65 0.4× 59 0.7× 283 3.8× 143 2.2× 31 828
Alexander Jussupow Germany 16 681 1.9× 49 0.3× 128 1.4× 18 0.2× 86 1.3× 25 843
Erik Walinda Japan 12 334 0.9× 43 0.3× 89 1.0× 29 0.4× 38 0.6× 36 481
Daichi Morimoto Japan 11 353 1.0× 46 0.3× 51 0.6× 39 0.5× 42 0.7× 37 482
Cody L. Hoop United States 15 649 1.8× 106 0.7× 80 0.9× 109 1.5× 120 1.9× 26 904

Countries citing papers authored by Thibault Viennet

Since Specialization
Citations

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

Fields of papers citing papers by Thibault Viennet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thibault Viennet

This figure shows the co-authorship network connecting the top 25 collaborators of Thibault Viennet. A scholar is included among the top collaborators of Thibault Viennet 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 Thibault Viennet. Thibault Viennet 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.
Wang, Fang, Frank Hansen, Toby G. Johnson, et al.. (2025). Biosynthesis, Structure, and Antibiotic Properties of Gelatinamin A, a Triculamin-like Lasso Peptide. bioRxiv (Cold Spring Harbor Laboratory).
2.
Reis, Joana, et al.. (2025). A composite motif in calcimembrin/C16orf74 dictates multimeric dephosphorylation by calcineurin. Nature Communications. 16(1). 9941–9941.
3.
Viennet, Thibault, S. M. Schindler, Zhenyu Sun, et al.. (2024). Protein NMR assignment by isotope pattern recognition. Science Advances. 10(36). eado0403–eado0403. 4 indexed citations
4.
Viennet, Thibault, Maolu Yin, Abhilash Jayaraj, et al.. (2024). Structural insights into the DNA-binding mechanism of BCL11A: The integral role of ZnF6. Structure. 32(12). 2276–2286.e4. 2 indexed citations
5.
Jiang, Hanjie, et al.. (2024). Protein semisynthesis reveals plasticity in HECT E3 ubiquitin ligase mechanisms. Nature Chemistry. 16(11). 1894–1905. 5 indexed citations
6.
Reis, Joana, Christoph Gorgulla, Sérgio Valente, et al.. (2023). Targeting ROS production through inhibition of NADPH oxidases. Nature Chemical Biology. 19(12). 1540–1550. 35 indexed citations
7.
Yin, Maolu, Thibault Viennet, Liting Zhai, et al.. (2023). Evolution of nanobodies specific for BCL11A. Proceedings of the National Academy of Sciences. 120(3). e2218959120–e2218959120. 16 indexed citations
8.
Wang, Longfei, Radosław P. Nowak, Thibault Viennet, et al.. (2023). Structural basis of regulated m7G tRNA modification by METTL1–WDR4. Nature. 613(7943). 391–397. 63 indexed citations
9.
Viennet, Thibault, Eunyoung Park, Nam Chu, et al.. (2022). PH domain-mediated autoinhibition and oncogenic activation of Akt. eLife. 11. 17 indexed citations
10.
Dubey, Abhinav, Thibault Viennet, Sandeep Chhabra, et al.. (2021). Local Deuteration Enables NMR Observation of Methyl Groups in Proteins from Eukaryotic and Cell‐Free Expression Systems. Angewandte Chemie International Edition. 60(25). 13783–13787. 9 indexed citations
11.
Fonseca‐Ornelas, Luis, Thibault Viennet, Matteo Rovere, et al.. (2021). Altered conformation of α-synuclein drives dysfunction of synaptic vesicles in a synaptosomal model of Parkinson’s disease. Cell Reports. 36(1). 109333–109333. 23 indexed citations
13.
Viegas, Aldino, Neha Verma, Thibault Viennet, et al.. (2020). Structural and dynamic insights revealing how lipase binding domain MD1 of Pseudomonas aeruginosa foldase affects lipase activation. Scientific Reports. 10(1). 3578–3578. 10 indexed citations
14.
Viennet, Thibault, et al.. (2019). Reconstitution and NMR Characterization of the Ion-Channel Accessory Subunit Barttin in Detergents and Lipid-Bilayer Nanodiscs. Frontiers in Molecular Biosciences. 6. 13–13. 3 indexed citations
15.
König, Anna, et al.. (2019). Hyperpolarized MAS NMR of unfolded and misfolded proteins. Solid State Nuclear Magnetic Resonance. 98. 1–11. 20 indexed citations
16.
Viennet, Thibault, Michael M. Wördehoff, Chetan Poojari, et al.. (2018). Structural insights from lipid-bilayer nanodiscs link α-Synuclein membrane-binding modes to amyloid fibril formation. Communications Biology. 1(1). 44–44. 86 indexed citations
17.
Viennet, Thibault, Aldino Viegas, Vladimir Gelev, et al.. (2016). Selective Protein Hyperpolarization in Cell Lysates Using Targeted Dynamic Nuclear Polarization. Angewandte Chemie. 128(36). 10904–10908. 19 indexed citations
18.
Viennet, Thibault, Aldino Viegas, Vladimir Gelev, et al.. (2016). Selective Protein Hyperpolarization in Cell Lysates Using Targeted Dynamic Nuclear Polarization. Angewandte Chemie International Edition. 55(36). 10746–10750. 62 indexed citations
19.
Viegas, Aldino, Thibault Viennet, & Manuel Etzkorn. (2016). The power, pitfalls and potential of the nanodisc system for NMR-based studies. Biological Chemistry. 397(12). 1335–1354. 39 indexed citations
20.
Viegas, Aldino, Thibault Viennet, Tsyr‐Yan Yu, et al.. (2016). UTOPIA NMR: activating unexploited magnetization using interleaved low-gamma detection. Journal of Biomolecular NMR. 64(1). 9–15. 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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