Galina Marsh

599 citations
8 papers · 359 · h-index 7

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological disorders and treatments

Papers in

    • CRISPR and Genetic Engineering 2
    • Machine Learning in Bioinformatics 1
    • Histone Deacetylase Inhibitors Research 1
    • Extracellular vesicles in disease 1
    • Alzheimer's disease research and treatments 5

Galina Marsh

8 papers receiving 354 citations

Peers

Galina Marsh
Comparison fields: 5 of 54
  • Neurology 100
  • Neurology 121
  • Biological Psychiatry 16
  • Physiology 148
  • Cellular and Molecular Neuroscience 95
Replace Bavo Heeman with:
Bavo Heeman Belgium
Andrea Wetzel United Kingdom
Elisabeth L. Moussaud-Lamodière United States
Anna Nölle Netherlands
Sissel Ida Schmidt Denmark
Zongbing Hao China
Charlotte Hiu-Yan Chung United States
Jonah E. Zarrow United States
Svitlana Yablonska United States
Camilla Maffezzini Sweden
Galina Marsh relative to Bavo Heeman Belgium Bavo Heeman's profile →
Citations per field
00.5×2.6×
Bavo Heeman · 1×
Citations per year

Countries citing papers authored by Galina Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Galina Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 2018136
2 2019111
3 202035
4 202134
5 201917
6 202113
7 20219
8 20214

About Galina Marsh

Galina Marsh is a scholar working on Molecular Biology, Physiology, Neurology, Neurology and Rheumatology, having authored 8 papers that have together received 359 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), CRISPR and Genetic Engineering (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Machine Learning in Bioinformatics (1 paper), Histone Deacetylase Inhibitors Research (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Neurology (100 citations), Neurology (121 citations), Biological Psychiatry (16 citations), Physiology (148 citations) and Cellular and Molecular Neuroscience (95 citations). Galina Marsh has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Michael Peterson, Andrea Crotti, Richard M. Ransohoff, Taylor L. Reynolds, Ellen Cahir-McFarland, Kathleen M. McAvoy, Ayla Ergün, Andrew Cameron, Karol Estrada and Luke Jandreski. Their work appears in journals such as Gene Therapy, Molecular Neurodegeneration, Scientific Reports, Lupus Science & Medicine and PLoS ONE.

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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