Lionel Muller

564 total citations
11 papers, 341 citations indexed

About

Lionel Muller is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lionel Muller has authored 11 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lionel Muller's work include Cancer-related Molecular Pathways (3 papers), Epigenetics and DNA Methylation (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Lionel Muller is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Epigenetics and DNA Methylation (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Lionel Muller collaborates with scholars based in Switzerland, United States and Germany. Lionel Muller's co-authors include Bhabatosh Chaudhuri, Joseph Schoepfer, Heinz Fretz, Pascal Furet, Rajeev Soni, Sabine Zumstein-Mecker, Christine Stephan, Laurent Meijer, Olivier Lozach and Eric Vangrevelinghe and has published in prestigious journals such as Scientific Reports, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Lionel Muller

10 papers receiving 329 citations

Peers

Lionel Muller
Tanya L. Wallace United States
Eva J. van Rooden Netherlands
Ming Guo China
Tina Morgan Ross United States
Lawrence W. Hartley United States
H. Y. Xu China
Tanya L. Wallace United States
Lionel Muller
Citations per year, relative to Lionel Muller Lionel Muller (= 1×) peers Tanya L. Wallace

Countries citing papers authored by Lionel Muller

Since Specialization
Citations

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

Fields of papers citing papers by Lionel Muller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lionel Muller

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

All Works

11 of 11 papers shown
1.
Chopra, Rajiv, Ruth E. Caughlan, Doriano Fabbro, et al.. (2018). Acylated-acyl carrier protein stabilizes the Pseudomonas aeruginosa WaaP lipopolysaccharide heptose kinase. Scientific Reports. 8(1). 14124–14124. 7 indexed citations
2.
Sauter, Alexander, Rosalba Mansi, Ulrich Hassiepen, et al.. (2018). Targeting of the Cholecystokinin-2 Receptor with the Minigastrin Analog177Lu-DOTA-PP-F11N: Does the Use of Protease Inhibitors Further Improve In Vivo Distribution?. Journal of Nuclear Medicine. 60(3). 393–399. 45 indexed citations
3.
Hassiepen, Ulrich, et al.. (2016). The Intrinsic Pepsin Resistance of Interleukin-8 Can Be Explained from a Combined Bioinformatical and Experimental Approach. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(1). 300–308.
4.
Krumova, Petranka, Marc De Meyer, Evy Lobbestael, et al.. (2015). Chemical genetic approach identifies microtubule affinity‐regulating kinase 1 as a leucine‐rich repeat kinase 2 substrate. The FASEB Journal. 29(7). 2980–2992. 19 indexed citations
5.
Canta, A, Francesca Lanzani, Sara Galbiati, et al.. (2004). RAT in vivo models of taxanes’ peripheral neurotoxicity following chronic intravenous administration. Journal of the Peripheral Nervous System. 9(2). 104–104. 2 indexed citations
6.
Izquierdo, Iván, Mônica Ryff Moreira Roca Vianna, Luciana A. Izquierdo, et al.. (2002). Memory retrieval and its lasting consequences. Neurotoxicity Research. 4(5-6). 573–593. 21 indexed citations
7.
Schoepfer, Joseph, Heinz Fretz, Bhabatosh Chaudhuri, et al.. (2002). Structure-Based Design and Synthesis of 2-Benzylidene-benzofuran-3-ones as Flavopiridol Mimics. Journal of Medicinal Chemistry. 45(9). 1741–1747. 89 indexed citations
8.
Wu, Jinzi J., et al.. (2000). Measurement of Cdk4 Kinase Activity Using an Affinity Peptide-Tagging Technology. Combinatorial Chemistry & High Throughput Screening. 3(1). 27–36. 7 indexed citations
9.
Soni, Rajeev, Heinz Fretz, Lionel Muller, Joseph Schoepfer, & Bhabatosh Chaudhuri. (2000). Novel Cdk Inhibitors Restore TGF-β Sensitivity in Cdk4 Overexpressing Epithelial Cells. Biochemical and Biophysical Research Communications. 272(3). 794–800. 8 indexed citations
10.
Soni, Rajeev, Lionel Muller, Pascal Furet, et al.. (2000). Inhibition of Cyclin-Dependent Kinase 4 (Cdk4) by Fascaplysin, a Marine Natural Product. Biochemical and Biophysical Research Communications. 275(3). 877–884. 141 indexed citations
11.
Lehne, Gustav, Maren K. L. Winkler, I.A. Hauser, et al.. (1999). STEADY-STATE PHARMACOKINETICS AND TOLERABILITY OF RAD AND ITS INFLUENCE ON CYCLOSPORINE IN STABLE RENAL TRANSPLANT PATIENTS. Transplantation. 67(7). S160–S160. 2 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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