K. Ricker

7.7k citations
112 papers · 5.5k indexed · 2 hit papers · h-index 37

K. Ricker

110 papers receiving 5.3k citations

Hit Papers

Myotonic Dystrophy Type 2 Caused by a CCTG Expansion in I...9181992202620032014250500750

Peers

K. Ricker
Comparison fields: 5 of 103
  • Cellular and Molecular Neuroscience 3.6k
  • Neurology 1.5k
  • Cardiology and Cardiovascular Medicine 1.7k
  • Molecular Biology 4.3k
  • Cell Biology 406
Replace Matthias Vorgerd with:
Matthias Vorgerd Germany
Heinz Jungbluth United Kingdom
Jaap J. Plomp Netherlands
Emmanuel Fournier France
Gabriella Silvestri Italy
Federico Zara Italy
L. W. Duchen United Kingdom
Makiko Ōsawa Japan
Mary E. Stevens United States
G. Salviati Italy
K. Ricker relative to Matthias Vorgerd Germany Matthias Vorgerd's profile →
Citations per field
00.5×2.6×
Matthias Vorgerd · 1×
Citations per year

Countries citing papers authored by K. Ricker

Since Specialization
Citations

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

Fields of papers citing papers by K. Ricker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside K. Ricker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with K. Ricker Line = papers co-authored together K. Ricker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200455
2 200322
3 200353
4
Myotonic Dystrophy Type 2 Caused by a CCTG Expansion in Intron 1 of ZNF9breakdown →
2001918
5 20011
6 2001143
7 20009
8 199760
9 199620
10 1995107
11 199531
12 199425
13 1994106
14 199373
15 199132
16 199117
17 199147
18 198784
19 19814
20
Seltenere Formen von Tetanuserkrankung: Klinische und elektromyographische Untersuchung
19717

About K. Ricker

K. Ricker is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cardiology and Cardiovascular Medicine, having authored 112 papers that have together received 5.5k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (50 papers), Ion channel regulation and function (40 papers), Cardiac electrophysiology and arrhythmias (16 papers), Mitochondrial Function and Pathology (14 papers), Neuroscience and Neural Engineering (11 papers), Cardiomyopathy and Myosin Studies (11 papers), Muscle Physiology and Disorders (10 papers) and Myasthenia Gravis and Thymoma (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.6k citations), Neurology (1.5k citations) and Cardiology and Cardiovascular Medicine (1.7k citations). K. Ricker has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Frank Lehmann‐Horn, Reinhardt Rüdel, Manuela C. Koch, John Day, Laura P.W. Ranum, Christina L. Liquori, Wolfram Kreß, Melinda L. Moseley, Susan L. Naylor and Michaël Otto. Their work appears in journals such as Journal of Neurology, Neurology, Muscle & Nerve, Neuromuscular Disorders and Human Genetics.

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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