Alexandre Masselot

1.9k total citations
28 papers, 1.3k citations indexed

About

Alexandre Masselot is a scholar working on Molecular Biology, Spectroscopy and Computational Mechanics. According to data from OpenAlex, Alexandre Masselot has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Spectroscopy and 7 papers in Computational Mechanics. Recurrent topics in Alexandre Masselot's work include Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (10 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Alexandre Masselot is often cited by papers focused on Advanced Proteomics Techniques and Applications (11 papers), Mass Spectrometry Techniques and Applications (10 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). Alexandre Masselot collaborates with scholars based in Switzerland, United States and Canada. Alexandre Masselot's co-authors include Bastien Chopard, Jacques Colinge, Alexandre Dupuis, Pascal O. Luthi, Pierre‐Alain Binz, Isabelle Cusin, Anne Gleizes, Ghislaine Argoud‐Puy, Frédérique Lisacek and Darin Smith and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Alexandre Masselot

27 papers receiving 1.3k citations

Peers

Alexandre Masselot

SPECT

CTM

EEE

Jing Yan United States

Iain B. Styles United Kingdom

Guozhong Li China

Daniel Russel United States

Lars J. Kangas United States

Yassene Mohammed Netherlands

Xiaolei Zhu China

Michael Borys United States

Anwei Chai United States

Zi Liu China

Jing Yan United States

Alexandre Masselot

940 ×1.0

333 ×0.6

SPECT

81 ×0.5

78 ×0.8

CTM

99 ×1.1

EEE

Citations per year, relative to Alexandre Masselot Alexandre Masselot (= 1×) peers Jing Yan

Countries citing papers authored by Alexandre Masselot

Since Specialization

Citations

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

Fields of papers citing papers by Alexandre Masselot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandre Masselot

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

All Works

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20 of 20 papers shown

Pham, Victoria C., Robert Pitti, Charles Tindell, et al.. (2020). Proteomic Analyses Identify a Novel Role for EZH2 in the Initiation of Cancer Cell Drug Tolerance. Journal of Proteome Research. 19(4). 1533–1547. 16 indexed citations

Masselot, Alexandre, et al.. (2017). MsViz: A Graphical Software Tool for In-Depth Manual Validation and Quantitation of Post-translational Modifications. Journal of Proteome Research. 16(8). 3092–3101. 8 indexed citations

Maile, Tobias M, Anita Izrael-Tomasevic, Tommy K. Cheung, et al.. (2015). Mass Spectrometric Quantification of Histone Post-translational Modifications by a Hybrid Chemical Labeling Method. Molecular & Cellular Proteomics. 14(4). 1148–1158. 77 indexed citations

Haling, Jacob R., Jawahar Sudhamsu, Ivana Yen, et al.. (2014). Structure of the BRAF-MEK Complex Reveals a Kinase Activity Independent Role for BRAF in MAPK Signaling. Cancer Cell. 26(3). 402–413. 176 indexed citations

Mukhyala, Kiran & Alexandre Masselot. (2014). Visualization of protein sequence features using JavaScript and SVG with pViz.js. Bioinformatics. 30(23). 3408–3409. 13 indexed citations

Anania, Veronica G., Victoria C. Pham, Xiaodong Huang, et al.. (2013). Peptide Level Immunoaffinity Enrichment Enhances Ubiquitination Site Identification on Individual Proteins. Molecular & Cellular Proteomics. 13(1). 145–156. 22 indexed citations

Lane, Lydie, Ghislaine Argoud‐Puy, Aurore Britan, et al.. (2011). neXtProt: a knowledge platform for human proteins. Nucleic Acids Research. 40(D1). D76–D83. 134 indexed citations

Quandt, Andreas, Alexandre Masselot, Patricia Hernandez, et al.. (2009). SwissPIT: An workflow‐based platform for analyzing tandem‐MS spectra using the Grid. PROTEOMICS. 9(10). 2648–2655. 10 indexed citations

Couté, Yohann, Domitille Schvartz, Céline Hernandez, et al.. (2009). Early activation of the fatty acid metabolism pathway by chronic high glucose exposure in rat insulin secretory β‐cells. PROTEOMICS. 10(1). 59–71. 13 indexed citations

10.

Ahrné, Erik, Alexandre Masselot, Pierre‐Alain Binz, Markus Müller, & Frédérique Lisacek. (2009). A simple workflow to increase MS2 identification rate by subsequent spectral library search. PROTEOMICS. 9(6). 1731–1736. 25 indexed citations

11.

Pitzer, Erik, Alexandre Masselot, & Jacques Colinge. (2007). Assessing peptide de novo sequencing algorithms performance on large and diverse data sets. PROTEOMICS. 7(17). 3051–3054. 31 indexed citations

12.

Scherl, Alexander, Patrice François, Yvan Charbonnier, et al.. (2006). Exploring glycopeptide-resistance in Staphylococcus aureus: a combined proteomics and transcriptomics approach for the identification of resistance-related markers. BMC Genomics. 7(1). 296–296. 108 indexed citations

13.

Colinge, Jacques, Alexandre Masselot, Isabelle Cusin, et al.. (2004). High‐performance peptide identification by tandem mass spectrometry allows reliable automatic data processing in proteomics. PROTEOMICS. 4(7). 1977–1984. 54 indexed citations

14.

Colinge, Jacques, et al.. (2003). OLAV: Towards high‐throughput tandem mass spectrometry data identification. PROTEOMICS. 3(8). 1454–1463. 231 indexed citations

15.

Colinge, Jacques, et al.. (2003). Improved peptide charge state assignment. PROTEOMICS. 3(8). 1434–1440. 18 indexed citations

16.

Chopard, Bastien, Alexandre Masselot, & Alexandre Dupuis. (2000). A lattice gas model for erosion and particles transport in a fluid. Computer Physics Communications. 129(1-3). 167–176. 35 indexed citations

17.

Droz, Michel, Bastien Chopard, & Alexandre Masselot. (1999). Kinetics of two-dimensional ballistic annihilation: A multiparticle lattice gas study. Computer Physics Communications. 121-122. 366–370.

18.

Masselot, Alexandre & Bastien Chopard. (1998). A Multiparticle Lattice-Gas Model for Hydrodynamics. International Journal of Modern Physics C. 9(8). 1221–1230. 5 indexed citations

19.

Chopard, Bastien, Alexandre Masselot, & Michel Droz. (1998). Multiparticle Lattice Gas Model for a Fluid: Application to Ballistic Annihilation. Physical Review Letters. 81(9). 1845–1848. 16 indexed citations

20.

Masselot, Alexandre & Bastien Chopard. (1998). A lattice Boltzmann model for particle transport and deposition. Europhysics Letters (EPL). 42(3). 259–264. 55 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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