András Mühlrád

156 total papers · 3.8k total citations
145 papers, 3.3k citations indexed

About

András Mühlrád is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cell Biology. According to data from OpenAlex, András Mühlrád has authored 145 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 59 papers in Cardiology and Cardiovascular Medicine and 46 papers in Cell Biology. Recurrent topics in András Mühlrád's work include Cardiomyopathy and Myosin Studies (56 papers), Cellular Mechanics and Interactions (28 papers) and Muscle Physiology and Disorders (21 papers). András Mühlrád is often cited by papers focused on Cardiomyopathy and Myosin Studies (56 papers), Cellular Mechanics and Interactions (28 papers) and Muscle Physiology and Disorders (21 papers). András Mühlrád collaborates with scholars based in Israel, United States and Hungary. András Mühlrád's co-authors include Emil Reisler, Y. Michael Peyser, I. Bab, Itai Bab, Д. А. Павлов, J. Sela, A. Shteyer, Moshe M. Werber, Tetsu Hozumi and Manuel F. Morales and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

András Mühlrád

143 papers receiving 3.1k citations

Author Peers

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

Author Last Decade Papers Cites
András Mühlrád 1.6k 1.2k 1.1k 404 267 145 3.3k
Walter F. Stafford 3.9k 2.4× 944 0.8× 1.2k 1.1× 203 0.5× 126 0.5× 114 5.7k
Anne R. Bresnick 4.0k 2.5× 490 0.4× 2.2k 2.0× 165 0.4× 186 0.7× 88 6.4k
Jonas Emsley 2.0k 1.3× 266 0.2× 941 0.8× 246 0.6× 70 0.3× 108 5.6k
Lawrence B. Smillie 4.6k 2.9× 3.6k 3.0× 1.0k 0.9× 342 0.8× 103 0.4× 130 7.0k
Douglas J. Taatjes 2.4k 1.5× 413 0.3× 805 0.7× 102 0.3× 146 0.5× 181 5.8k
Marshall Elzinga 2.7k 1.7× 1.2k 1.0× 1.7k 1.5× 186 0.5× 215 0.8× 63 4.1k
Ewald Hannappel 1.4k 0.9× 190 0.2× 1.7k 1.5× 111 0.3× 166 0.6× 88 3.4k
Robert M. Ezzell 1.7k 1.0× 190 0.2× 1.5k 1.3× 320 0.8× 171 0.6× 55 4.1k
Akiko Fujita 2.1k 1.3× 271 0.2× 1.9k 1.7× 97 0.2× 168 0.6× 80 3.8k
Martin L. Phillips 1.9k 1.2× 278 0.2× 533 0.5× 109 0.3× 81 0.3× 72 3.2k

Countries citing papers authored by András Mühlrád

Since Specialization
Citations

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

Fields of papers citing papers by András Mühlrád

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of András Mühlrád

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