M Faßhauer

72 total papers · 1.1k total citations
33 papers, 750 citations indexed

About

M Faßhauer is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, M Faßhauer has authored 33 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cardiology and Cardiovascular Medicine, 13 papers in Epidemiology and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in M Faßhauer's work include Cardiac Imaging and Diagnostics (9 papers), Advanced MRI Techniques and Applications (8 papers) and Cardiovascular Function and Risk Factors (7 papers). M Faßhauer is often cited by papers focused on Cardiac Imaging and Diagnostics (9 papers), Advanced MRI Techniques and Applications (8 papers) and Cardiovascular Function and Risk Factors (7 papers). M Faßhauer collaborates with scholars based in Germany, United States and United Kingdom. M Faßhauer's co-authors include Jan M Sohns, Joachim Lotz, Johannes T. Kowallick, Wieland Staab, Christina Unterberg‐Buchwald, Michael Steinmetz, Andreas Schuster, Christoph Buettner, Claudia Lindtner and Thomas Scherer and has published in prestigious journals such as PLoS ONE, Cell Metabolism and Science Translational Medicine.

In The Last Decade

M Faßhauer

31 papers receiving 745 citations

Author Peers

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

Author						Papers	Cites
M Faßhauer	278	193	185	168	161	33	750
Helena Tuunanen	541 1.9×	193 1.0×	185 1.0×	231 1.4×	72 0.4×	21	891
Cher‐Rin Chong	322 1.2×	97 0.5×	189 1.0×	195 1.2×	77 0.5×	33	694
Angela Luciana Barilli	255 0.9×	96 0.5×	125 0.7×	93 0.6×	294 1.8×	31	900
H Fukuzaki	440 1.6×	75 0.4×	222 1.2×	172 1.0×	63 0.4×	50	854
Pietro Giudice	362 1.3×	129 0.7×	122 0.7×	130 0.8×	70 0.4×	33	816
Amanda J. Edgley	371 1.3×	59 0.3×	201 1.1×	214 1.3×	77 0.5×	38	767
Jussi P. Pärkkä	547 2.0×	204 1.1×	184 1.0×	109 0.6×	124 0.8×	33	828
H Henrich	176 0.6×	70 0.4×	191 1.0×	144 0.9×	101 0.6×	56	804
Claudia Agabiti-Rosei	513 1.8×	93 0.5×	149 0.8×	87 0.5×	108 0.7×	27	883
Edvardas Varnauskas	340 1.2×	139 0.7×	160 0.9×	71 0.4×	81 0.5×	28	704

Countries citing papers authored by M Faßhauer

Since Specialization

Citations

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

Fields of papers citing papers by M Faßhauer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Faßhauer

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