Debbie Swing

908 citations
6 papers · 602 · h-index 5

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Neurological disorders and treatments 3
    • Parkinson's Disease Mechanisms and Treatments 2
    • Neurological diseases and metabolism 1
    • Muscle Physiology and Disorders 2
    • CRISPR and Genetic Engineering 1

Debbie Swing

6 papers receiving 601 citations

Peers

Debbie Swing
Comparison fields: 5 of 53
  • Neurology 390
  • Genetics 190
  • Cellular and Molecular Neuroscience 147
  • Neurology 58
  • Molecular Biology 357
Replace Angéline Gaucherot with:
Angéline Gaucherot France
Valeria Gerbino Italy
Rob Moccia United States
I‐Fang Wang Taiwan
David M. Kwinter United States
Valentina Sardone United Kingdom
Anna‐Lena Ström Sweden
Ze’ev Melamed United States
Ina Woods Ireland
Irune Guerra San Juan Netherlands
Debbie Swing relative to Angéline Gaucherot France Angéline Gaucherot's profile →
Citations per field
00.5×1.5×2.3×
Angéline Gaucherot · 1×
Citations per year

Countries citing papers authored by Debbie Swing

Since Specialization
Citations

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

Fields of papers citing papers by Debbie Swing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2013341
2 2013175
3 201135
4 201725
5 201124
6 20142

About Debbie Swing

Debbie Swing is a scholar working on Neurology, Molecular Biology, Cellular and Molecular Neuroscience, Genetics and Oncology, having authored 6 papers that have together received 602 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (4 papers), Neurological disorders and treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Muscle Physiology and Disorders (2 papers), Neurological diseases and metabolism (1 paper), Hereditary Neurological Disorders (1 paper), PARP inhibition in cancer therapy (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Neurology (390 citations), Genetics (190 citations), Cellular and Molecular Neuroscience (147 citations), Neurology (58 citations) and Molecular Biology (357 citations). Debbie Swing has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Lino Tessarollo, Magdalini Polymenidou, Don W. Cleveland, Holly Kordasiewicz, Shuo‐Chien Ling, Stephanie C. Huelga, Oleksandr Platoshyn, Sandrine Da Cruz, Philippe A. Parone and Dara Ditsworth. Their work appears in journals such as Human Molecular Genetics, Journal of Huntington s Disease, eNeuro, Proceedings of the National Academy of Sciences and Nature Neuroscience.

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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