Julie Bernauer

1.2k total citations
24 papers, 464 citations indexed

About

Julie Bernauer is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Julie Bernauer has authored 24 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 6 papers in Materials Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Julie Bernauer's work include Protein Structure and Dynamics (10 papers), RNA and protein synthesis mechanisms (9 papers) and RNA modifications and cancer (7 papers). Julie Bernauer is often cited by papers focused on Protein Structure and Dynamics (10 papers), RNA and protein synthesis mechanisms (9 papers) and RNA modifications and cancer (7 papers). Julie Bernauer collaborates with scholars based in France, United States and Hong Kong. Julie Bernauer's co-authors include Anne Poupon, Xuhui Huang, Jérôme Azé, Joël Janin, Michael Levitt, Adelene Y. L. Sim, Françis Rodier, Ranjit Prasad Bahadur, J. Janin and Fu Kit Sheong and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Julie Bernauer

23 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julie Bernauer France 11 422 132 77 35 23 24 464
Zeynep Kurkcuoglu Türkiye 11 337 0.8× 111 0.8× 72 0.9× 30 0.9× 18 0.8× 15 414
Guang Qiang Dong Canada 7 304 0.7× 58 0.4× 62 0.8× 18 0.5× 17 0.7× 9 411
Stéphanie Monaco France 7 325 0.8× 226 1.7× 24 0.3× 32 0.9× 21 0.9× 13 454
Yanzhao Huang China 11 290 0.7× 47 0.4× 26 0.3× 33 0.9× 12 0.5× 34 367
Carles Corbi‐Verge Canada 13 420 1.0× 66 0.5× 62 0.8× 12 0.3× 13 0.6× 21 530
Agnieszka Karczyńska Poland 12 275 0.7× 162 1.2× 24 0.3× 69 2.0× 34 1.5× 18 358
Fanchi Meng United States 11 443 1.0× 132 1.0× 35 0.5× 37 1.1× 25 1.1× 11 515
M. Grabowski United States 12 315 0.7× 217 1.6× 38 0.5× 30 0.9× 13 0.6× 25 449
Tamotsu Noguchi Japan 12 533 1.3× 156 1.2× 43 0.6× 36 1.0× 12 0.5× 29 600
Noelia Ferruz Spain 12 652 1.5× 131 1.0× 117 1.5× 35 1.0× 22 1.0× 20 818

Countries citing papers authored by Julie Bernauer

Since Specialization
Citations

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

Fields of papers citing papers by Julie Bernauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julie Bernauer

This figure shows the co-authorship network connecting the top 25 collaborators of Julie Bernauer. A scholar is included among the top collaborators of Julie Bernauer 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 Julie Bernauer. Julie Bernauer 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.
Syrivelis, Dimitris, Paraskevas Bakopoulos, N. Argyris, et al.. (2023). Software-defined, programmable L1 dataplane: demonstration of fabric hardware resilience using optical switches. Th2A.15–Th2A.15.
2.
Barth, Dominique, et al.. (2017). GARN2: coarse-grained prediction of 3D structure of large RNA molecules by regret minimization. Bioinformatics. 33(16). 2479–2486. 7 indexed citations
3.
Bernauer, Julie. (2017). NVIDIA Deep Learning Tutorial. 491–491. 1 indexed citations
4.
Zhu, Lizhe, et al.. (2016). Elucidating Mechanisms of Molecular Recognition Between Human Argonaute and miRNA Using Computational Approaches. Methods in molecular biology. 1517. 251–275. 1 indexed citations
5.
Fonseca, Rasmus, Henry van den Bedem, & Julie Bernauer. (2016). Probing RNA Native Conformational Ensembles with Structural Constraints. Journal of Computational Biology. 23(5). 362–371. 3 indexed citations
6.
Sheong, Fu Kit, et al.. (2015). Markov State Models Reveal a Two-Step Mechanism of miRNA Loading into the Human Argonaute Protein: Selective Binding followed by Structural Re-arrangement. PLoS Computational Biology. 11(7). e1004404–e1004404. 55 indexed citations
7.
Bernauer, Julie, et al.. (2015). GARN: Sampling RNA 3D Structure Space with Game Theory and Knowledge-Based Scoring Strategies. PLoS ONE. 10(8). e0136444–e0136444. 7 indexed citations
8.
Seijo, Bili, Luc Ponchon, Jean‐Michel Saliou, et al.. (2014). In vivo tmRNA protection by SmpB and pre-ribosome binding conformation in solution. RNA. 20(10). 1607–1620. 4 indexed citations
9.
Froidevaux, Christine, et al.. (2014). Protein-RNA Complexes and Efficient Automatic Docking: Expanding RosettaDock Possibilities. PLoS ONE. 9(9). e108928–e108928. 27 indexed citations
10.
Fonseca, Rasmus, et al.. (2014). Characterizing RNA ensembles from NMR data with kinematic models. Nucleic Acids Research. 42(15). 9562–9572. 20 indexed citations
11.
Flores, Samuel Coulbourn, Julie Bernauer, Sue Shin, Ruhong Zhou, & Xuhui Huang. (2012). Multiscale modeling of macromolecular biosystems. Briefings in Bioinformatics. 13(4). 395–405. 24 indexed citations
12.
Sim, Adelene Y. L., et al.. (2012). EVALUATING MIXTURE MODELS FOR BUILDING RNA KNOWLEDGE-BASED POTENTIALS. Journal of Bioinformatics and Computational Biology. 10(2). 1241010–1241010. 3 indexed citations
13.
Bourquard, Thomas, Julie Bernauer, Jérôme Azé, & Anne Poupon. (2011). A Collaborative Filtering Approach for Protein-Protein Docking Scoring Functions. PLoS ONE. 6(4). e18541–e18541. 24 indexed citations
14.
Bernauer, Julie, Xuhui Huang, Adelene Y. L. Sim, & Michael Levitt. (2011). Fully differentiable coarse-grained and all-atom knowledge-based potentials for RNA structure evaluation. RNA. 17(6). 1066–1075. 70 indexed citations
15.
Cazals, Frédéric, et al.. (2010). ESBTL: efficient PDB parser and data structure for the structural and geometric analysis of biological macromolecules. Bioinformatics. 26(8). 1127–1128. 6 indexed citations
16.
Cazals, Frédéric, et al.. (2009). A geometric knowledge-based coarse-grained scoring potential for structure prediction evaluation. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
17.
Bernauer, Julie, Jérôme Azé, J. Janin, & Anne Poupon. (2007). A new protein–protein docking scoring function based on interface residue properties. Bioinformatics. 23(5). 555–562. 41 indexed citations
18.
Bernauer, Julie, Stéphane Skouloubris, Marc Graille, et al.. (2006). Catalytic Mechanism and Structure of Viral Flavin-dependent Thymidylate Synthase ThyX. Journal of Biological Chemistry. 281(33). 24048–24057. 50 indexed citations
19.
Prilusky, Jaime, Nathalie Ulryck, Anne Pajon, et al.. (2005). HalX: an open-source LIMS (Laboratory Information Management System) for small- to large-scale laboratories. Acta Crystallographica Section D Biological Crystallography. 61(6). 671–678. 19 indexed citations
20.
Bernauer, Julie, Anne Poupon, Jérôme Azé, & Joël Janin. (2005). A docking analysis of the statistical physics of protein–protein recognition. Physical Biology. 2(2). S17–S23. 11 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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