Katy J. Eichinger

2.4k citations
68 papers · 1.8k · h-index 23

Impact in

Papers in

Katy J. Eichinger

61 papers receiving 1.7k citations

Peers

Katy J. Eichinger
Comparison fields: 5 of 81
  • Cellular and Molecular Neuroscience 988
  • Genetics 278
  • Neurology 271
  • Molecular Biology 943
  • Neurology 60
Replace Matthew Wicklund with:
Matthew Wicklund United States
Nuran Dilek United States
Seena Vengalil India
Tracey Anne Willis United Kingdom
Anna Potulska‐Chromik Poland
E.L. van der Kooi Netherlands
David O. Hutchinson New Zealand
Veeramani Preethish‐Kumar India
Satoshi Kuru Japan
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Citations per field
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Citations per year

Countries citing papers authored by Katy J. Eichinger

Since Specialization
Citations

This map shows the geographic impact of Katy J. 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 J. 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 J. Eichinger more than expected).

Fields of papers citing papers by Katy J. Eichinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013211
2 2011153
3 2018133
4 2018101
5 201684
6 201674
7 202065
8 201957
9 202054
10 201749
11 202047
12 201044
13 201943
14 201540
15 202340
16 201939
17 201636
18 201835
19 201835
20 202134

About Katy J. Eichinger

Katy J. Eichinger is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Neurology and Psychiatry and Mental health, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (22 papers), Genetic Neurodegenerative Diseases (18 papers), Hereditary Neurological Disorders (15 papers), Neurogenetic and Muscular Disorders Research (14 papers), Cardiomyopathy and Myosin Studies (5 papers), Cerebral Palsy and Movement Disorders (4 papers), Muscle activation and electromyography studies (3 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (988 citations), Genetics (278 citations), Neurology (271 citations), Molecular Biology (943 citations) and Neurology (60 citations). Katy J. Eichinger has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Charles A. Thornton, Rabi Tawil, Richard T. Moxley, Chad Rydel Heatwole, Michael McDermott, Masayuki Nakamori, Krzysztof Sobczak, Jeffrey M. Statland, Emma Ciafaloni and William B. Martens. Their work appears in journals such as Neurology, Muscle & Nerve, Neuromuscular Disorders, Journal of the Peripheral Nervous System and Journal of Neuromuscular Diseases.

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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