Eric Marshall

1.3k citations
6 papers · 147 · h-index 4

Impact in

    • Genetic Associations and Epidemiology
    • Genomics and Rare Diseases
    • Virus-based gene therapy research

Papers in

    • CRISPR and Genetic Engineering 2
    • Pluripotent Stem Cells Research 1
    • Bioinformatics and Genomic Networks 1
    • Genetic Associations and Epidemiology 2
    • Genomic variations and chromosomal abnormalities 2
    • Genomics and Rare Diseases 1

Eric Marshall

6 papers receiving 142 citations

Peers

Eric Marshall
Comparison fields: 5 of 59
  • Aging 5
  • Genetics 55
  • Molecular Biology 70
  • Cancer Research 13
  • Business and International Management 2
Replace Alexander Stuckey with:
Alexander Stuckey United States
Namwoo Kim South Korea
Stephanie D. Topp United Kingdom
Alejandro Correa-Sáez Spain
James Dodgson United Kingdom
Leanne R. Donahue United States
Hapsatou Mamady Canada
Ashish R. Deshwar Canada
Zhijun Kong China
Pavel A. Makhnovskii Russia
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Citations per field
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Citations per year

Countries citing papers authored by Eric Marshall

Since Specialization
Citations

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

Fields of papers citing papers by Eric Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 202280
2 202134
3 201426
4 20244
5 20212
6 20231

About Eric Marshall

Eric Marshall is a scholar working on Molecular Biology, Genetics, Pharmacology, Pathology and Forensic Medicine and Horticulture, having authored 6 papers that have together received 147 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (2 papers), Genomic variations and chromosomal abnormalities (2 papers), CRISPR and Genetic Engineering (2 papers), Genomics and Rare Diseases (1 paper), Cancer Genomics and Diagnostics (1 paper), Coffee research and impacts (1 paper), Pluripotent Stem Cells Research (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Aging (5 citations), Genetics (55 citations), Molecular Biology (70 citations), Cancer Research (13 citations) and Business and International Management (2 citations). Eric Marshall has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Heiko Runz, Christopher N. Foley, Mark J. Daly, Charles F. Jackels, Georges Christé, Jemma B. Wilk, Chia‐Yen Chen, Mitja Kurki, Mohamed Chahine and Philippe Chevalier. Their work appears in journals such as Nature Communications, Journal of Agricultural and Food Chemistry, Biotechnology Journal, Gene Therapy and Nature.

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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