Miriam Müller

26 total papers · 876 total citations
16 papers, 674 citations indexed

About

Miriam Müller is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Miriam Müller has authored 16 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pathology and Forensic Medicine, 5 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Miriam Müller's work include Vitamin D Research Studies (6 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Vitamin C and Antioxidants Research (2 papers). Miriam Müller is often cited by papers focused on Vitamin D Research Studies (6 papers), Pharmacological Effects and Toxicity Studies (3 papers) and Vitamin C and Antioxidants Research (2 papers). Miriam Müller collaborates with scholars based in Germany and Switzerland. Miriam Müller's co-authors include Dietrich A. Volmer, Ute Hennrich, Michael Eisenhut, Martin Schäfer, Ali Afshar‐Oromieh, Uwe Haberkorn, Klaus Kopka, Ulrike Bauder‐Wüst, Yvonne Remde and Oliver Neels and has published in prestigious journals such as Circulation Research, Scientific Reports and Genetics.

In The Last Decade

Miriam Müller

16 papers receiving 666 citations

Hit Papers

Novel Preclinical and Rad... 2014 2026 2018 2022 2014 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Miriam Müller 266 262 105 104 100 16 674
Stanley J. Grossman 229 0.9× 111 0.4× 33 0.3× 92 0.9× 92 0.9× 16 739
Wingfield Rehmus 70 0.3× 44 0.2× 113 1.1× 44 0.4× 88 0.9× 29 741
Gerald W. King 60 0.2× 103 0.4× 78 0.7× 148 1.4× 187 1.9× 16 675
Sung Koo Han 48 0.2× 296 1.1× 34 0.3× 92 0.9× 225 2.3× 17 719
Ruth L. Goodland 201 0.8× 153 0.6× 19 0.2× 45 0.4× 220 2.2× 22 765
Michael H.L. Green 104 0.4× 54 0.2× 41 0.4× 112 1.1× 447 4.5× 14 755
Jean M. Decker 36 0.1× 99 0.4× 33 0.3× 137 1.3× 234 2.3× 10 679
Aparna Vidyasagar 76 0.3× 92 0.4× 33 0.3× 40 0.4× 292 2.9× 10 680
R Bohman 42 0.2× 76 0.3× 52 0.5× 74 0.7× 293 2.9× 19 658
Curtis P. Sigdestad 313 1.2× 203 0.8× 28 0.3× 139 1.3× 166 1.7× 26 693

Countries citing papers authored by Miriam Müller

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miriam Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Müller. A scholar is included among the top collaborators of Miriam 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 Miriam Müller. Miriam 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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