Aurélie Bornot

1.4k total citations
27 papers, 956 citations indexed

About

Aurélie Bornot is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Aurélie Bornot has authored 27 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 9 papers in Materials Chemistry and 6 papers in Computational Theory and Mathematics. Recurrent topics in Aurélie Bornot's work include Protein Structure and Dynamics (15 papers), Enzyme Structure and Function (9 papers) and RNA and protein synthesis mechanisms (7 papers). Aurélie Bornot is often cited by papers focused on Protein Structure and Dynamics (15 papers), Enzyme Structure and Function (9 papers) and RNA and protein synthesis mechanisms (7 papers). Aurélie Bornot collaborates with scholars based in France, United Kingdom and Sweden. Aurélie Bornot's co-authors include Alexandre G. de Brevern, Jean‐Christophe Gelly, Guilhem Faure, Bernard Offmann, Manoj Tyagi, Pierrick Craveur, Cristina Benros, Anne‐Claude Camproux, Agnel Praveen Joseph and Maryam Clausen and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Cancer Research.

In The Last Decade

Aurélie Bornot

26 papers receiving 942 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aurélie Bornot France 15 741 194 116 111 91 27 956
Ping-Chiang Lyu Taiwan 17 572 0.8× 75 0.4× 97 0.8× 31 0.3× 31 0.3× 25 907
Martin J. Valler Germany 17 660 0.9× 62 0.3× 64 0.6× 59 0.5× 99 1.1× 25 1.0k
David A. Scott United States 19 979 1.3× 121 0.6× 50 0.4× 76 0.7× 320 3.5× 50 1.5k
Stuart E. Builder United States 17 619 0.8× 133 0.7× 167 1.4× 52 0.5× 22 0.2× 26 1.1k
Giovanni Birolo Italy 17 634 0.9× 76 0.4× 41 0.4× 68 0.6× 23 0.3× 40 913
Haim Barr Israel 16 662 0.9× 63 0.3× 67 0.6× 25 0.2× 54 0.6× 35 953
Alan Dafforn Paraguay 5 386 0.5× 50 0.3× 120 1.0× 26 0.2× 32 0.4× 6 587
Xiuna Sun China 15 545 0.7× 141 0.7× 181 1.6× 11 0.1× 125 1.4× 26 881
Sanjay B. Hari United States 13 718 1.0× 105 0.5× 41 0.4× 46 0.4× 46 0.5× 17 965
Arthur C. Switchenko United States 10 384 0.5× 61 0.3× 115 1.0× 29 0.3× 28 0.3× 10 720

Countries citing papers authored by Aurélie Bornot

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie Bornot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Bornot

This figure shows the co-authorship network connecting the top 25 collaborators of Aurélie Bornot. A scholar is included among the top collaborators of Aurélie Bornot 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 Aurélie Bornot. Aurélie Bornot 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.
Gogleva, Anna, Dimitris Polychronopoulos, Matthias Pfeifer, et al.. (2022). Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer. Nature Communications. 13(1). 1667–1667. 48 indexed citations
2.
Kostrzewski, Tomasz, S Peel, Zahida Ahmad, et al.. (2021). Modelling human liver fibrosis in the context of non-alcoholic steatohepatitis using a microphysiological system. Communications Biology. 4(1). 1080–1080. 33 indexed citations
3.
Ross‐Thriepland, Douglas, Aurélie Bornot, Arpan S. Desai, et al.. (2020). Arrayed CRISPR Screening Identifies Novel Targets That Enhance the Productive Delivery of mRNA by MC3-Based Lipid Nanoparticles. SLAS DISCOVERY. 25(6). 605–617. 18 indexed citations
4.
Guerriero, Maria Luisa, Adam Corrigan, Aurélie Bornot, et al.. (2020). Delivering Robust Candidates to the Drug Pipeline through Computational Analysis of Arrayed CRISPR Screens. SLAS DISCOVERY. 25(6). 646–654. 5 indexed citations
5.
Gee, Sarah, Aurélie Bornot, Maria Emanuela Cuomo, et al.. (2020). Developing an Arrayed CRISPR-Cas9 Co-Culture Screen for Immuno-Oncology Target ID. SLAS DISCOVERY. 25(6). 581–590. 5 indexed citations
6.
Mills, Richard J., Benjamin L. Parker, Gregory A. Quaife-Ryan, et al.. (2019). Drug Screening in Human PSC-Cardiac Organoids Identifies Pro-proliferative Compounds Acting via the Mevalonate Pathway. Cell stem cell. 24(6). 895–907.e6. 205 indexed citations
7.
Bornot, Aurélie, et al.. (2014). The Role of Historical Bioactivity Data in the Deconvolution of Phenotypic Screens. SLAS DISCOVERY. 19(5). 696–706. 6 indexed citations
8.
Brevern, Alexandre G. de, et al.. (2012). PredyFlexy: flexibility and local structure prediction from sequence. Nucleic Acids Research. 40(W1). W317–W322. 83 indexed citations
9.
Joseph, Agnel Praveen, Garima Agarwal, Swapnil Mahajan, et al.. (2010). A short survey on protein blocks. Biophysical Reviews. 2(3). 137–145. 105 indexed citations
10.
Bornot, Aurélie, et al.. (2010). Influence of assignment on the prediction of transmembrane helices in protein structures. Amino Acids. 39(5). 1241–1254. 6 indexed citations
11.
Joseph, Agnel Praveen, et al.. (2009). Analysis of protein chameleon sequence characteristics. Bioinformation. 3(9). 367–369. 24 indexed citations
12.
Faure, Guilhem, Aurélie Bornot, & Alexandre G. de Brevern. (2009). Analysis of protein contacts into Protein Units. Biochimie. 91(7). 876–887. 14 indexed citations
13.
Bornot, Aurélie, et al.. (2009). A new prediction strategy for long local protein structures using an original description. Proteins Structure Function and Bioinformatics. 76(3). 570–587. 25 indexed citations
14.
Tyagi, Manoj, Aurélie Bornot, Bernard Offmann, & Alexandre G. de Brevern. (2009). Analysis of loop boundaries using different local structure assignment methods. Protein Science. 18(9). 1869–1881. 28 indexed citations
15.
Tyagi, Manoj, Aurélie Bornot, Bernard Offmann, & Alexandre G. de Brevern. (2009). Protein short loop prediction in terms of a structural alphabet. Computational Biology and Chemistry. 33(4). 329–333. 20 indexed citations
16.
Benros, Cristina, et al.. (2007). A reduced amino acid alphabet for understanding and designing protein adaptation to mutation. European Biophysics Journal. 36(8). 1059–1069. 75 indexed citations
17.
Bornot, Aurélie, et al.. (2007). Functional annotation strategy for protein structures. Bioinformation. 1(9). 357–359. 11 indexed citations
18.
Bornot, Aurélie, Bernard Offmann, & Alexandre G. de Brevern. (2007). How flexible protein structures are? New questions on the protein structure plasticity.. HAL (Le Centre pour la Communication Scientifique Directe). 24. 1 indexed citations
19.
Faure, Guilhem, Aurélie Bornot, & Alexandre G. de Brevern. (2007). Protein contacts, inter-residue interactions and side-chain modelling. Biochimie. 90(4). 626–639. 48 indexed citations
20.
Bornot, Aurélie & Alexandre G. de Brevern. (2006). Protein beta-turn assignments. Bioinformation. 1(5). 153–155. 27 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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