Katy Eichinger

2.3k citations
48 papers · 1.2k · h-index 19

Impact in

Papers in

Katy Eichinger

47 papers receiving 1.2k citations

Peers

Katy Eichinger
Comparison fields: 5 of 67
  • Cellular and Molecular Neuroscience 632
  • Genetics 216
  • Neurology 170
  • Molecular Biology 770
  • Cardiology and Cardiovascular Medicine 124
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Nuran Dilek United States
Gerardo Nigro Italy
Barbara Ryniewicz Poland
Anna Łusakowska Poland
Johanna C.W. Deenen Netherlands
Tracey Willis United Kingdom
Satoshi Kuru Japan
Raffaella Willmann Switzerland
Kiran Polavarapu India
Matthew Wicklund United States
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Citations per field
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Citations per year

Countries citing papers authored by Katy Eichinger

Since Specialization
Citations

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

Fields of papers citing papers by Katy Eichinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Katy Eichinger, 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 Katy Eichinger Line = papers co-authored together Katy Eichinger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013201
2 2011150
3 201894
4 201679
5 202051
6 201948
7 201041
8 202041
9 201537
10 201934
11 201634
12 201933
13 201430
14 202130
15 201830
16 201829
17 201827
18 201622
19 201419
20 201817

About Katy Eichinger

Katy Eichinger is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Neurology and Cardiology and Cardiovascular Medicine, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (16 papers), Genetic Neurodegenerative Diseases (11 papers), Neurogenetic and Muscular Disorders Research (10 papers), Hereditary Neurological Disorders (9 papers), Cerebral Palsy and Movement Disorders (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Myasthenia Gravis and Thymoma (2 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (632 citations), Genetics (216 citations), Neurology (170 citations), Molecular Biology (770 citations) and Cardiology and Cardiovascular Medicine (124 citations). Katy Eichinger has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Charles A. Thornton, Rabi Tawil, Richard T. Moxley, Chad Heatwole, Krzysztof Sobczak, Masayuki Nakamori, Michael McDermott, Jeffrey Statland, Emma Ciafaloni and Robert T. Dirksen. Their work appears in journals such as Muscle & Nerve, Neurology, Journal of the Peripheral Nervous System, Neuromuscular Disorders and Human Molecular 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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