Margit S. Müller

12 total papers · 516 total citations
12 papers, 433 citations indexed

About

Margit S. Müller is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Rheumatology. According to data from OpenAlex, Margit S. Müller has authored 12 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Rheumatology. Recurrent topics in Margit S. Müller's work include Neuroscience and Neuropharmacology Research (6 papers), Glycosylation and Glycoproteins Research (3 papers) and Proteoglycans and glycosaminoglycans research (3 papers). Margit S. Müller is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Glycosylation and Glycoproteins Research (3 papers) and Proteoglycans and glycosaminoglycans research (3 papers). Margit S. Müller collaborates with scholars based in Denmark, United Kingdom and United States. Margit S. Müller's co-authors include Lasse K. Bak, Helle S. Waagepetersen, Arne Schousboe, Anne B. Walls, Helle M. Sickmann, Colin W. Taylor, Maxime Fouyssac, Rebecca Fox, Hans Kresse and Heinz Hausser and has published in prestigious journals such as Journal of Biological Chemistry, Current Biology and Nature Chemistry.

In The Last Decade

Margit S. Müller

12 papers receiving 428 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Margit S. Müller 171 165 80 69 64 12 433
David Langer 184 1.1× 113 0.7× 55 0.7× 55 0.8× 36 0.6× 12 470
B. I. Roots 194 1.1× 172 1.0× 48 0.6× 53 0.8× 49 0.8× 15 464
Christopher Sinadinos 159 0.9× 152 0.9× 110 1.4× 31 0.4× 37 0.6× 9 379
Robert E. McAlhany 128 0.7× 111 0.7× 34 0.4× 41 0.6× 22 0.3× 8 400
Audrey Rousseaud 188 1.1× 80 0.5× 109 1.4× 56 0.8× 46 0.7× 8 470
Stella Markosyan 219 1.3× 102 0.6× 109 1.4× 47 0.7× 33 0.5× 13 473
Annalisa Nicotra 168 1.0× 132 0.8× 70 0.9× 48 0.7× 43 0.7× 21 489
Chuanxi Xiang 159 0.9× 124 0.8× 121 1.5× 73 1.1× 24 0.4× 17 473
Claire Benetollo 120 0.7× 106 0.6× 29 0.4× 46 0.7× 30 0.5× 18 391
N.B. Bahuth 114 0.7× 123 0.7× 111 1.4× 28 0.4× 52 0.8× 17 417

Countries citing papers authored by Margit S. Müller

Since Specialization
Citations

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

Fields of papers citing papers by Margit S. Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margit S. Müller

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

All Works

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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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