Pascal Müller

992 total citations
8 papers, 780 citations indexed

About

Pascal Müller is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Pascal Müller has authored 8 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Materials Chemistry. Recurrent topics in Pascal Müller's work include Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers) and Enzyme Structure and Function (2 papers). Pascal Müller is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Protein Structure and Dynamics (3 papers) and Enzyme Structure and Function (2 papers). Pascal Müller collaborates with scholars based in Switzerland, France and Estonia. Pascal Müller's co-authors include Didier Rognan, Esther Kellenberger, Jordi Rodrigo, Nicodème Paul, Guillaume Bret, Gérard Lambeau, Éric Boilard, Gilles Guichard, Sofiane Bezzine and Christian R. Kahlert and has published in prestigious journals such as Journal of Medicinal Chemistry, Proteins Structure Function and Bioinformatics and Journal of Chemical Information and Modeling.

In The Last Decade

Pascal Müller

7 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pascal Müller Switzerland	5	566	510	132	113	96	8	780
Tuomo Kalliokoski Finland	14	509 0.9×	470 0.9×	208 1.6×	109 1.0×	118 1.2×	23	803
Sam Z. Grinter United States	10	474 0.8×	424 0.8×	89 0.7×	64 0.6×	102 1.1×	10	658
Paulette A. Greenidge Switzerland	14	485 0.9×	318 0.6×	162 1.2×	117 1.0×	74 0.8×	19	855
Matthew P. Baumgartner United States	9	564 1.0×	475 0.9×	142 1.1×	99 0.9×	180 1.9×	13	887
Tom Oldfield United Kingdom	6	741 1.3×	431 0.8×	189 1.4×	106 0.9×	178 1.9×	8	1.0k
Sai Chetan K. Sukuru Switzerland	9	432 0.8×	471 0.9×	89 0.7×	130 1.2×	81 0.8×	11	686
Peter Monecke Germany	12	433 0.8×	345 0.7×	104 0.8×	75 0.7×	139 1.4×	19	726
Veronica Salmaso Italy	16	660 1.2×	319 0.6×	228 1.7×	77 0.7×	79 0.8×	50	1.0k
Nicolas Bosc United Kingdom	9	424 0.7×	419 0.8×	57 0.4×	73 0.6×	124 1.3×	13	715
Britta Nisius Germany	11	428 0.8×	467 0.9×	85 0.6×	76 0.7×	84 0.9×	18	613

Countries citing papers authored by Pascal Müller

Since Specialization

Citations

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

Fields of papers citing papers by Pascal Müller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Müller

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Müller, Pascal. (2020). Vegan Diet in Young Children. Nestlé Nutrition Institute Workshop series. 93. 103–110. 27 indexed citations

2.

Müller, Pascal, et al.. (2018). Familiäre Hypercholesterinämie – Diagnose und Therapie. Praxis. 107(24). 1345–1353. 3 indexed citations

3.

Kahlert, Christian R. & Pascal Müller. (2014). Microbiome – découverte d’un organe. Forum Médical Suisse ‒ Swiss Medical Forum. 14(1617). 1 indexed citations

4.

Kahlert, Christian R. & Pascal Müller. (2014). Mikrobiom – die Entdeckung eines Organs. Swiss Medical Forum ‒ Schweizerisches Medizin-Forum. 14(1617). 1 indexed citations

5.

Müller, Pascal, Éric Boilard, Sofiane Bezzine, et al.. (2006). In Silico-Guided Target Identification of a Scaffold-Focused Library: 1,3,5-Triazepan-2,6-diones as Novel Phospholipase A2 Inhibitors. Journal of Medicinal Chemistry. 49(23). 6768–6778. 54 indexed citations

6.

Kellenberger, Esther, et al.. (2006). sc-PDB: an Annotated Database of Druggable Binding Sites from the Protein Data Bank. Journal of Chemical Information and Modeling. 46(2). 717–727. 156 indexed citations

7.

Kellenberger, Esther, Jordi Rodrigo, Pascal Müller, & Didier Rognan. (2004). Comparative evaluation of eight docking tools for docking and virtual screening accuracy. Proteins Structure Function and Bioinformatics. 57(2). 225–242. 453 indexed citations

8.

Paul, Nicodème, Esther Kellenberger, Guillaume Bret, Pascal Müller, & Didier Rognan. (2004). Recovering the true targets of specific ligands by virtual screening of the protein data bank. Proteins Structure Function and Bioinformatics. 54(4). 671–680. 85 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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