Rachel Thompson

3.6k citations
33 papers · 744 indexed · h-index 14
  • Genetics top 10%
    • Genomics and Rare Diseases 13
    • Neurogenetic and Muscular Disorders Research 5
    • Genomic variations and chromosomal abnormalities 3
  • Neurology top 10%
    • Myasthenia Gravis and Thymoma 5
  • Genetics top 10%
    • Genomics and Rare Diseases 13
    • Neurogenetic and Muscular Disorders Research 5
    • Genomic variations and chromosomal abnormalities 3
    • Muscle Physiology and Disorders 7
    • Biomedical Text Mining and Ontologies 3
    • Cancer Genomics and Diagnostics 5
    • Cellular transport and secretion 4

Rachel Thompson

31 papers receiving 728 citations

Peers

Rachel Thompson
Comparison fields: 5 of 87
  • Genetics 145
  • Neurology 125
  • Genetics 191
  • Cellular and Molecular Neuroscience 123
  • Molecular Biology 463
Replace Kate Bushby with:
Kate Bushby United Kingdom
Carmen Paradas Spain
Maggie Williams United Kingdom
Ana Cabello Spain
Benjamin D. Canan United States
Anna Cho South Korea
Hui Xiong China
Gina O’Grady New Zealand
Adnan Manzur United Kingdom
Courtney Thaxton United States
Rachel Thompson relative to Kate Bushby United Kingdom Kate Bushby's profile →
Citations per field
00.5×5.6×
Kate Bushby · 1×
Citations per year

Countries citing papers authored by Rachel Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
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4 20241
5 202412
6 20242
7 20241
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9 20235
10 20233
11 20213
12 2020145
13 202043
14 20194
15 201837
16 201812
17 201713
18 201721
19 201674
20 2014120

About Rachel Thompson

Rachel Thompson is a scholar working on Genetics, Genetics and Neurology, having authored 33 papers that have together received 744 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (13 papers), Muscle Physiology and Disorders (7 papers), Myasthenia Gravis and Thymoma (5 papers), Neurogenetic and Muscular Disorders Research (5 papers), Cancer Genomics and Diagnostics (5 papers), Cellular transport and secretion (4 papers), Biomedical Text Mining and Ontologies (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). The work is most often cited by research in Genetics (145 citations), Neurology (125 citations) and Genetics (191 citations). Rachel Thompson has collaborated with scholars based in United Kingdom, Germany and Spain. Frequent co-authors include Hanns Lochmüller, Volker Straub, Janbernd Kirschner, Erik Landfeldt, Hugh J. McMillan, Thomas Sejersen, Paolo Missier, Marta Gut, Andreas Roos and Rita Horváth. Their work appears in journals such as Nature Communications, The Lancet Neurology and Personality and Individual Differences.

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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