Dorothée Lebert

569 total citations
18 papers, 444 citations indexed

About

Dorothée Lebert is a scholar working on Molecular Biology, Spectroscopy and Immunology. According to data from OpenAlex, Dorothée Lebert has authored 18 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Spectroscopy and 6 papers in Immunology. Recurrent topics in Dorothée Lebert's work include Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (6 papers) and Biosimilars and Bioanalytical Methods (4 papers). Dorothée Lebert is often cited by papers focused on Advanced Proteomics Techniques and Applications (8 papers), Mass Spectrometry Techniques and Applications (6 papers) and Biosimilars and Bioanalytical Methods (4 papers). Dorothée Lebert collaborates with scholars based in France, United States and Switzerland. Dorothée Lebert's co-authors include Jérôme Garin, Christophe Bruley, Virginie Brun, Alain Dupuis, Michel Jaquinod, Mathilde Louwagie, Annie Adrait, Jérôme Guitton, Benoı̂t Blanchet and Nihel Khoudour and has published in prestigious journals such as Clinical Chemistry, Molecules and Molecular & Cellular Proteomics.

In The Last Decade

Dorothée Lebert

18 papers receiving 433 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dorothée Lebert France 13 263 225 76 74 45 18 444
Valegh Faid France 12 421 1.6× 175 0.8× 107 1.4× 102 1.4× 18 0.4× 17 539
Shuzhen Wu China 12 370 1.4× 274 1.2× 33 0.4× 76 1.0× 55 1.2× 26 584
Yan J Zhang United States 10 220 0.8× 79 0.4× 96 1.3× 112 1.5× 53 1.2× 20 354
Pey Yee Lee Malaysia 11 360 1.4× 193 0.9× 23 0.3× 43 0.6× 65 1.4× 18 542
Faye Vazvaei United States 11 237 0.9× 79 0.4× 97 1.3× 134 1.8× 110 2.4× 18 457
Barbora Šalovská Czechia 14 393 1.5× 161 0.7× 21 0.3× 29 0.4× 73 1.6× 34 515
Eszter Csánky Hungary 11 268 1.0× 56 0.2× 63 0.8× 86 1.2× 44 1.0× 29 459
Sibylle Pfammatter Switzerland 11 245 0.9× 211 0.9× 16 0.2× 36 0.5× 36 0.8× 17 361
Bojing Zhu China 12 395 1.5× 117 0.5× 45 0.6× 146 2.0× 41 0.9× 26 541
Н. В. Антипова Russia 11 163 0.6× 56 0.2× 17 0.2× 51 0.7× 42 0.9× 41 373

Countries citing papers authored by Dorothée Lebert

Since Specialization
Citations

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

Fields of papers citing papers by Dorothée Lebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dorothée Lebert

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

All Works

18 of 18 papers shown
1.
Lienhart, Anne, et al.. (2024). Multicenter evaluation of the hemostatic activity of emicizumab in patients with severe hemophilia A. Journal of Thrombosis and Haemostasis. 22(7). 1857–1866. 8 indexed citations
2.
Chhun, Stéphanie, Lucile Amrouche, Dorothée Lebert, et al.. (2023). A Validated LC-MS/MS Method for Performing Belatacept Drug Monitoring in Renal Transplantation. Biomedicines. 11(11). 2955–2955. 4 indexed citations
4.
Tron, Camille, F. Lemaı̂tre, Claire Goulvestre, et al.. (2022). Quantification of Infliximab and Adalimumab in Human Plasma by a Liquid Chromatography Tandem Mass Spectrometry Kit and Comparison with Two ELISA Methods. Bioanalysis. 14(11). 831–844. 12 indexed citations
5.
Khoudour, Nihel, Dorothée Lebert, Fabienne Thomas, et al.. (2021). Cross-Validation of a Multiplex LC-MS/MS Method for Assaying mAbs Plasma Levels in Patients with Cancer: A GPCO-UNICANCER Study. Pharmaceuticals. 14(8). 796–796. 19 indexed citations
6.
Khoudour, Nihel, Jérôme Guitton, Dorothée Lebert, et al.. (2021). Analysis of Pembrolizumab in Human Plasma by LC-MS/HRMS. Method Validation and Comparison with Elisa. Biomedicines. 9(6). 621–621. 13 indexed citations
7.
Khoudour, Nihel, Dorothée Lebert, Christelle Machon, et al.. (2021). Development, Validation, and Comparison of Two Mass Spectrometry Methods (LC-MS/HRMS and LC-MS/MS) for the Quantification of Rituximab in Human Plasma. Molecules. 26(5). 1383–1383. 13 indexed citations
8.
Khoudour, Nihel, Dorothée Lebert, Christelle Machon, et al.. (2020). Quantification of nivolumab in human plasma by LC-MS/HRMS and LC-MS/MS, comparison with ELISA. Talanta. 224. 121889–121889. 30 indexed citations
10.
Lebert, Dorothée, Elodie Gautier‐Veyret, F. Lemaı̂tre, et al.. (2016). Infliximab quantitation in human plasma by liquid chromatography-tandem mass spectrometry: towards a standardization of the methods?. Analytical and Bioanalytical Chemistry. 409(5). 1195–1205. 27 indexed citations
11.
Lebert, Dorothée, Walter C. Low, Nicolas Mouz, et al.. (2015). Absolute and Multiplex Quantification of Antibodies in Serum Using Psaq™ Standards and LC-MS/MS. Bioanalysis. 7(10). 1237–1251. 19 indexed citations
12.
Lebert, Dorothée, Mathilde Louwagie, Sandra Goetze, et al.. (2014). DIGESTIF: A Universal Quality Standard for the Control of Bottom-Up Proteomics Experiments. Journal of Proteome Research. 14(2). 787–803. 20 indexed citations
13.
Jaquinod, Michel, Mathilde Louwagie, Dorothée Lebert, et al.. (2012). Mass spectrometry‐based absolute protein quantification: PSAQ™ strategy makes use of “noncanonical” proteotypic peptides. PROTEOMICS. 12(8). 1217–1221. 22 indexed citations
14.
Lebert, Dorothée, Mathilde Louwagie, Annie Adrait, et al.. (2012). PSAQ™ standards for accurate MS–based quantification of proteins: from the concept to biomedical applications. Journal of Mass Spectrometry. 47(10). 1353–1363. 59 indexed citations
15.
Lebert, Dorothée, Alain Dupuis, Jérôme Garin, Christophe Bruley, & Virginie Brun. (2011). Production and Use of Stable Isotope-Labeled Proteins for Absolute Quantitative Proteomics. Methods in molecular biology. 753. 93–115. 43 indexed citations
16.
Adrait, Annie, Dorothée Lebert, Mathilde Louwagie, et al.. (2011). Accurate Quantification of Cardiovascular Biomarkers in Serum Using Protein Standard Absolute Quantification (PSAQ™) and Selected Reaction Monitoring. Molecular & Cellular Proteomics. 11(2). M111.008235–M111.008235. 67 indexed citations
17.
Adrait, Annie, Dorothée Lebert, Alain Dupuis, et al.. (2011). Development of a Protein Standard Absolute Quantification (PSAQ™) assay for the quantification of Staphylococcus aureus enterotoxin A in serum. Journal of Proteomics. 75(10). 3041–3049. 32 indexed citations
18.
Kraut, Alexandra, Marlène Marcellin, Annie Adrait, et al.. (2009). Peptide Storage: Are You Getting the Best Return on Your Investment? Defining Optimal Storage Conditions for Proteomics Samples. Journal of Proteome Research. 8(7). 3778–3785. 48 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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