Jeffrey Statland

7.8k citations
131 papers · 2.8k · h-index 32

Impact in

Papers in

    • Muscle Physiology and Disorders 49
    • Ion channel regulation and function 10
    • Amyotrophic Lateral Sclerosis Research 31
    • Parkinson's Disease Mechanisms and Treatments 7
    • Myasthenia Gravis and Thymoma 6

Jeffrey Statland

125 papers receiving 2.7k citations

Peers

Jeffrey Statland
Comparison fields: 5 of 108
  • Neurology 699
  • Cellular and Molecular Neuroscience 809
  • Genetics 440
  • Cardiology and Cardiovascular Medicine 456
  • Molecular Biology 1.5k
Replace Valeria Sansone with:
Valeria Sansone Italy
H. J. ter Laak Netherlands
D J Dick United Kingdom
Hideaki Iizuka Japan
Johanna Palmio Finland
O.J.M. Vogels Netherlands
Yuishin Izumi Japan
Lawrence Korngut Canada
Ron Dabby Israel
Lundy Day Canada
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Citations per field
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Citations per year

Countries citing papers authored by Jeffrey Statland

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Statland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007145
2 2017144
3 2012138
4 2020130
5 2006121
6 200589
7 201888
8 201376
9 201573
10 201668
11 201366
12 200364
13 201358
14 200658
15 201456
16 201551
17 202049
18 202049
19 201548
20 201242

About Jeffrey Statland

Jeffrey Statland is a scholar working on Molecular Biology, Neurology, Cellular and Molecular Neuroscience, Genetics and Cardiology and Cardiovascular Medicine, having authored 131 papers that have together received 2.8k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (49 papers), Amyotrophic Lateral Sclerosis Research (31 papers), Genetic Neurodegenerative Diseases (22 papers), Neurogenetic and Muscular Disorders Research (16 papers), Cardiomyopathy and Myosin Studies (11 papers), Ion channel regulation and function (10 papers), Parkinson's Disease Mechanisms and Treatments (7 papers) and Myasthenia Gravis and Thymoma (6 papers). The work is most often cited by research in Neurology (699 citations), Cellular and Molecular Neuroscience (809 citations), Genetics (440 citations), Cardiology and Cardiovascular Medicine (456 citations) and Molecular Biology (1.5k citations). Jeffrey Statland has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Rabi Tawil, Richard J. Barohn, Chris J. McBain, J. Josh Lawrence, Mazen M. Dimachkie, Silvère M. van der Maarel, Stephen J. Tapscott, Gil I. Wolfe, Zachary M. Grinspan and Mike A. Singer. Their work appears in journals such as Neurology, Muscle & Nerve, Neuromuscular Disorders, Neurologic Clinics and Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration.

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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