Nicolas Majeux

516 total citations
12 papers, 421 citations indexed

About

Nicolas Majeux is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Nicolas Majeux has authored 12 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 3 papers in Materials Chemistry. Recurrent topics in Nicolas Majeux's work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (6 papers) and Biochemical and Structural Characterization (3 papers). Nicolas Majeux is often cited by papers focused on Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (6 papers) and Biochemical and Structural Characterization (3 papers). Nicolas Majeux collaborates with scholars based in Switzerland, Spain and Japan. Nicolas Majeux's co-authors include Amedeo Caflisch, Marco Scarsi, Claus Ehrhardt, Joannis Apostolakis, Marco Cecchini, Peter Kolb, Shaheen Ahmed, Philipp Werner, Keiko Udaka and Hiroshi Mamitsuka and has published in prestigious journals such as Journal of Computational Chemistry, Proteins Structure Function and Bioinformatics and Biological Chemistry.

In The Last Decade

Nicolas Majeux

12 papers receiving 416 citations

Peers

Nicolas Majeux

MB

CTM

OC

MC

RNMI

Marco Scarsi Switzerland

Martin Almlöf Sweden

Sara E. Nichols United States

Maria G. Carr United Kingdom

Oranit Dror Israel

Jürgen Dinges United States

Johan Åqvist Sweden

Flavio Ballante United States

A. C. Good United States

Gerhard Klebe Germany

Marco Scarsi Switzerland

Nicolas Majeux

475 ×1.4

MB

237 ×1.0

CTM

71 ×1.0

OC

83 ×1.3

MC

29 ×0.8

RNMI

Citations per year, relative to Nicolas Majeux Nicolas Majeux (= 1×) peers Marco Scarsi

Countries citing papers authored by Nicolas Majeux

Since Specialization

Citations

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

Fields of papers citing papers by Nicolas Majeux

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicolas Majeux

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

All Works

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12 of 12 papers shown

1.

Majeux, Nicolas, Keiko Udaka, & Hiroshi Mamitsuka. (2003). Prediction of MHC Class I Binding Peptides Using an Ensemble Learning Approach. Proceedings Genome Informatics Workshop/Genome informatics. 14. 687–688. 3 indexed citations

2.

Majeux, Nicolas, et al.. (2003). Efficient evaluation of the effective dielectric function of a macromolecule in aqueous solution. Journal of Computational Chemistry. 24(15). 1936–1949. 8 indexed citations

3.

Cecchini, Marco, Peter Kolb, Nicolas Majeux, & Amedeo Caflisch. (2003). Automated docking of highly flexible ligands by genetic algorithms: A critical assessment. Journal of Computational Chemistry. 25(3). 412–422. 47 indexed citations

4.

Majeux, Nicolas, et al.. (2001). Fragment-Based Flexible Ligand Docking by Evolutionary Optimization. Biological Chemistry. 382(9). 1365–1372. 58 indexed citations

5.

Ahmed, Shaheen, Nicolas Majeux, & Amedeo Caflisch. (2001). Hydrophobicity and functionality maps of farnesyltransferase. Journal of Molecular Graphics and Modelling. 19(3-4). 307–317. 3 indexed citations

6.

Ahmed, Shaheen, et al.. (2001). An Evolutionary Approach for Structure-based Design of Natural and Non-natural Peptidic Ligands. Combinatorial Chemistry & High Throughput Screening. 4(8). 661–673. 9 indexed citations

7.

Majeux, Nicolas, et al.. (2001). Structure‐based ligand design by a build‐up approach and genetic algorithm search in conformational space. Journal of Computational Chemistry. 22(16). 1956–1970. 18 indexed citations

8.

Majeux, Nicolas, Marco Scarsi, & Amedeo Caflisch. (2000). Efficient electrostatic solvation model for protein-fragment docking. Proteins Structure Function and Bioinformatics. 42(2). 256–268. 83 indexed citations

9.

Majeux, Nicolas, et al.. (2000). Hydrophobicity maps and docking of molecular fragments with solvation. Perspectives in Drug Discovery and Design. 20(1). 145–169. 6 indexed citations

10.

Scarsi, Marco, Nicolas Majeux, & Amedeo Caflisch. (1999). Hydrophobicity at the surface of proteins. Proteins Structure Function and Bioinformatics. 37(4). 565–575. 36 indexed citations

11.

Majeux, Nicolas, Marco Scarsi, Joannis Apostolakis, Claus Ehrhardt, & Amedeo Caflisch. (1999). Exhaustive docking of molecular fragments with electrostatic solvation. Proteins Structure Function and Bioinformatics. 37(1). 88–105. 140 indexed citations

12.

Majeux, Nicolas, Marco Scarsi, Joannis Apostolakis, Claus Ehrhardt, & Amedeo Caflisch. (1999). Exhaustive docking of molecular fragments with electrostatic solvation. Proteins Structure Function and Bioinformatics. 37(1). 88–105. 10 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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