R. Mein

52 total papers · 1.9k total citations
23 papers, 700 citations indexed

About

R. Mein is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Genetics. According to data from OpenAlex, R. Mein has authored 23 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Cardiology and Cardiovascular Medicine and 6 papers in Genetics. Recurrent topics in R. Mein's work include Muscle Physiology and Disorders (15 papers), Cardiomyopathy and Myosin Studies (7 papers) and Neurogenetic and Muscular Disorders Research (6 papers). R. Mein is often cited by papers focused on Muscle Physiology and Disorders (15 papers), Cardiomyopathy and Myosin Studies (7 papers) and Neurogenetic and Muscular Disorders Research (6 papers). R. Mein collaborates with scholars based in United Kingdom, United States and Italy. R. Mein's co-authors include Stephen Abbs, Caroline A. Sewry, Lucy Feng, Emma Clement, Francesco Muntoni, C. Jimenez‐Mallebrera, Silvia Torelli, Caroline Godfrey, S. Brown and Martin Brockington and has published in prestigious journals such as Neurology, Annals of Neurology and Journal of Medical Genetics.

In The Last Decade

R. Mein

21 papers receiving 687 citations

Author Peers

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

Author Last Decade Papers Cites
R. Mein 615 169 152 107 98 23 700
L. Feng 675 1.1× 255 1.5× 187 1.2× 51 0.5× 107 1.1× 19 793
Oscar Suzuki 539 0.9× 140 0.8× 54 0.4× 124 1.2× 129 1.3× 25 815
Andoni Urtizberea 553 0.9× 128 0.8× 155 1.0× 39 0.4× 202 2.1× 27 794
J. Philpot 624 1.0× 140 0.8× 112 0.7× 164 1.5× 116 1.2× 15 698
Anna Zanellato 495 0.8× 139 0.8× 23 0.2× 116 1.1× 217 2.2× 19 860
Frances Kern 370 0.6× 96 0.6× 25 0.2× 129 1.2× 98 1.0× 20 691
I. Courdier-Fruh 682 1.1× 104 0.6× 129 0.8× 28 0.3× 114 1.2× 13 825
Mitsuru Horiba 439 0.7× 245 1.4× 36 0.2× 58 0.5× 92 0.9× 18 752
Ina Thielmann 221 0.4× 119 0.7× 115 0.8× 51 0.5× 21 0.2× 14 780
Arpana Sali 690 1.1× 162 1.0× 97 0.6× 17 0.2× 78 0.8× 19 805

Countries citing papers authored by R. Mein

Since Specialization
Citations

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

Fields of papers citing papers by R. Mein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Mein

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