A. Maerkens

449 total citations
8 papers, 275 citations indexed

About

A. Maerkens is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, A. Maerkens has authored 8 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in A. Maerkens's work include Muscle Physiology and Disorders (7 papers), Cardiomyopathy and Myosin Studies (5 papers) and Genetic Neurodegenerative Diseases (4 papers). A. Maerkens is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Cardiomyopathy and Myosin Studies (5 papers) and Genetic Neurodegenerative Diseases (4 papers). A. Maerkens collaborates with scholars based in Germany, United Kingdom and United States. A. Maerkens's co-authors include Katrin Marcus, Julian Uszkoreit, Matthias Vorgerd, Martin Eisenacher, Rudolf A. Kley, Helmut E. Meyer, Martin Tegenthoff, Christoph Stephan, Dieter O. Fürst and Peter F. M. van der Ven and has published in prestigious journals such as Annals of Neurology, Human Molecular Genetics and Molecular & Cellular Proteomics.

In The Last Decade

A. Maerkens

7 papers receiving 270 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
A. Maerkens Germany	5	202	83	69	62	61	8	275
Clara Türk Germany	11	209 1.0×	31 0.4×	30 0.4×	100 1.6×	40 0.7×	13	295
Lenka Mrázová Czechia	12	181 0.9×	56 0.7×	45 0.7×	81 1.3×	34 0.6×	33	308
Giuseppina Di Fruscio Italy	9	177 0.9×	53 0.6×	35 0.5×	70 1.1×	32 0.5×	13	282
Mridul Johari Finland	9	133 0.7×	63 0.8×	54 0.8×	18 0.3×	30 0.5×	28	194
A. Ya. Gudkova Russia	10	184 0.9×	169 2.0×	21 0.3×	57 0.9×	16 0.3×	46	299
Ghislaine Dell United Kingdom	7	341 1.7×	76 0.9×	47 0.7×	76 1.2×	30 0.5×	8	416
H. Luque Finland	6	231 1.1×	129 1.6×	50 0.7×	39 0.6×	24 0.4×	11	265
Laura Rufibach United States	7	185 0.9×	49 0.6×	49 0.7×	15 0.2×	15 0.2×	17	218
Mark Screen Finland	6	199 1.0×	83 1.0×	52 0.8×	29 0.5×	19 0.3×	7	252
Jonathan Volpatti Canada	7	139 0.7×	43 0.5×	35 0.5×	90 1.5×	11 0.2×	9	190

Countries citing papers authored by A. Maerkens

Since Specialization

Citations

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

Fields of papers citing papers by A. Maerkens

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Maerkens

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

All Works

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8 of 8 papers shown

1.

Maerkens, A., Montse Olivé, Joachim Schessl, et al.. (2016). New insights into the protein aggregation pathology in myotilinopathy by combined proteomic and immunolocalization analyses. Acta Neuropathologica Communications. 4(1). 8–8. 47 indexed citations

2.

Güttsches, Anne‐Katrin, Stefen Brady, A. Maerkens, et al.. (2016). Proteomics of rimmed vacuoles define new risk allele in inclusion body myositis. Annals of Neurology. 81(2). 227–239. 62 indexed citations

3.

Chevessier, Frédéric, Zacharias Orfanos, A. Maerkens, et al.. (2015). Myofibrillar instability exacerbated by acute exercise in filaminopathy. Human Molecular Genetics. 24(25). 7207–7220. 45 indexed citations

4.

Uszkoreit, Julian, A. Maerkens, Yasset Pérez‐Riverol, et al.. (2015). PIA: An Intuitive Protein Inference Engine with a Web-Based User Interface. Journal of Proteome Research. 14(7). 2988–2997. 53 indexed citations

5.

Maerkens, A., Giorgio Tasca, Gerald Pfeffer, et al.. (2014). A.P.2. Neuromuscular Disorders. 24(9-10). 830–831.

6.

Maerkens, A., Anna Sárközy, Rita Barresi, et al.. (2013). P.15.6 Desminopathy or myotilinopathy? An integrated proteomics approach for diagnosis. Neuromuscular Disorders. 23(9-10). 820–820. 1 indexed citations

7.

Maerkens, A., Gerald Pfeffer, Anna Sárközy, et al.. (2013). O.4 Proteomic analysis confirms that HMERF associated with mutations in A-band titin is a new subtype of myofibrillar myopathies. Neuromuscular Disorders. 23(9-10). 740–740. 1 indexed citations

8.

Kley, Rudolf A., A. Maerkens, Verena Theis, et al.. (2012). A Combined Laser Microdissection and Mass Spectrometry Approach Reveals New Disease Relevant Proteins Accumulating in Aggregates of Filaminopathy Patients. Molecular & Cellular Proteomics. 12(1). 215–227. 66 indexed citations

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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