Ria Thomas

404 citations
13 papers · 304 · h-index 9

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurogenesis and neuroplasticity mechanisms

Papers in

    • Single-cell and spatial transcriptomics 4
    • Pluripotent Stem Cells Research 2
    • Parkinson's Disease Mechanisms and Treatments 3
    • Neuroinflammation and Neurodegeneration Mechanisms 2

Ria Thomas

12 papers receiving 304 citations

Peers

Ria Thomas
Comparison fields: 5 of 54
  • Neurology 101
  • Developmental Neuroscience 25
  • Cell Biology 89
  • Neurology 27
  • Cellular and Molecular Neuroscience 49
Replace John C.T. Wong with:
John C.T. Wong Canada
Léna Guillot‐Noël France
Vladimíra Sládková Czechia
Cristina Rivellini Italy
Kiyoshi Owada Japan
Alejandra Catenaccio Chile
Flavia Troglio Italy
Simona Bussini Italy
Lina Dahl Sweden
Estelle Arnaud Switzerland
Ria Thomas relative to John C.T. Wong Canada John C.T. Wong's profile →
Citations per field
00.5×3.5×
John C.T. Wong · 1×
Citations per year

Countries citing papers authored by Ria Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Ria Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201682
2 201951
3 201435
4 202035
5 201334
6 202119
7 201411
8 202210
9 201910
10 20237
11 20235
12 20205
13 20250

About Ria Thomas

Ria Thomas is a scholar working on Molecular Biology, Neurology, Cell Biology, Physiology and Epidemiology, having authored 13 papers that have together received 304 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Lysosomal Storage Disorders Research (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Cell Image Analysis Techniques (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Autophagy in Disease and Therapy (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Neurology (101 citations), Developmental Neuroscience (25 citations), Cell Biology (89 citations), Neurology (27 citations) and Cellular and Molecular Neuroscience (49 citations). Ria Thomas has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jan Pruszak, Vishal Menon, Ole Isacson, Penelope J. Hallett, Christopher J. Hindley, Jason A. Davis, Alexandra L. Condurat, Anthony J. Hinrich, Michelle L. Hastings and Joanna A. Korecka. Their work appears in journals such as Scientific Reports, Journal of Visualized Experiments, Stem Cells, International review of neurobiology 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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