Maria Ekblad

432 citations
14 papers · 371 · h-index 12

Impact in

    • Herpesvirus Infections and Treatments
    • Cytomegalovirus and herpesvirus research

Papers in

    • Herpesvirus Infections and Treatments 9
    • Cytomegalovirus and herpesvirus research 4
    • Immunotherapy and Immune Responses 2
    • Immune Response and Inflammation 2

Maria Ekblad

14 papers receiving 354 citations

Peers

Maria Ekblad
Comparison fields: 5 of 68
  • Virology 21
  • Epidemiology 141
  • Immunology 74
  • Aquatic Science 25
  • Cell Biology 54
Replace Sylvie Roy with:
Sylvie Roy Canada
Regina Müller Germany
Christina Wangen Germany
Lamia Guizani-Tabbane Tunisia
Y. Fujimoto Japan
Yiquan Li China
Sophie Vichier‐Guerre France
Lauren R. H. Krumpe United States
Kosaburo Sato Japan
Sabine Rechter Germany
Maria Ekblad relative to Sylvie Roy Canada Sylvie Roy's profile →
Citations per field
00.5×2×4×6.3×
Sylvie Roy · 1×
Citations per year

Countries citing papers authored by Maria Ekblad

Since Specialization
Citations

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

Fields of papers citing papers by Maria Ekblad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200496
2 201061
3 200734
4 201025
5 201523
6 200621
7 200918
8 201118
9 200717
10 201216
11 201416
12
Adenovirus-based therapy for prostate cancer.
201013
13 20168
14 20225

About Maria Ekblad

Maria Ekblad is a scholar working on Epidemiology, Immunology, Genetics, Biotechnology and Virology, having authored 14 papers that have together received 371 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (9 papers), Cytomegalovirus and herpesvirus research (4 papers), Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (3 papers), Immunotherapy and Immune Responses (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Immune Response and Inflammation (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Virology (21 citations), Epidemiology (141 citations), Immunology (74 citations), Aquatic Science (25 citations) and Cell Biology (54 citations). Maria Ekblad has collaborated with scholars based in Sweden, United Kingdom and Australia. Frequent co-authors include Tomas B. Bergström, Edward Trybala, Vito Ferro, Beata Adamiak, Craig G. Freeman, Christopher R. Parish, Gunnel Halldén, Ken D. Johnstone, Ligong Liu and Tomislav Karoli. Their work appears in journals such as Antiviral Research, Human Gene Therapy, Viruses, Antimicrobial Agents and Chemotherapy and Journal of Pharmaceutical Sciences.

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.

Explore authors with similar magnitude of impact