Matilde Mori

5.3k citations
4 papers · 21 · h-index 3

Impact in

Papers in

Matilde Mori

4 papers receiving 21 citations

Peers

Matilde Mori
Comparison fields: 5 of 20
  • Applied Microbiology and Biotechnology 3
  • Critical Care and Intensive Care Medicine 6
  • Epidemiology 13
  • Infectious Diseases 6
  • Cellular and Molecular Neuroscience 5
Replace Gabrielle Vernet with:
Gabrielle Vernet United Kingdom
Candice Fontaine France
Beatrice Bertolusso United Kingdom
Esther Expósito Palomo Spain
Libby Reeg United States
Ellia Mezgueldi France
María José Núñez Orantos Spain
J C Navellou France
Matei Răzvan Bratu Romania
Christina Schultz United States
Matilde Mori relative to Gabrielle Vernet United Kingdom Gabrielle Vernet's profile →
Citations per field
00.5×1.5×
Gabrielle Vernet · 1×
Citations per year

Countries citing papers authored by Matilde Mori

Since Specialization
Citations

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

Fields of papers citing papers by Matilde Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Matilde Mori, 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 Matilde Mori Line = papers co-authored together Matilde Mori links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1 202212
2 20216
3
Electron microscopic study of nuclear bodies in plasma cells of mouse lymph nodes during the primary immune response.
19712
4
HLA-B*58:02-specific benefit of MRKAd5 Gag/Pol/Nef vaccine in an African population
20151

About Matilde Mori

Matilde Mori is a scholar working on Epidemiology, Infectious Diseases, Critical Care and Intensive Care Medicine, Immunology and Applied Microbiology and Biotechnology, having authored 4 papers that have together received 21 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (2 papers), Thermal Regulation in Medicine (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper), T-cell and B-cell Immunology (1 paper), COVID-19 Clinical Research Studies (1 paper), Intensive Care Unit Cognitive Disorders (1 paper), Immunotherapy and Immune Responses (1 paper) and Antibiotic Use and Resistance (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (3 citations), Critical Care and Intensive Care Medicine (6 citations), Epidemiology (13 citations), Infectious Diseases (6 citations) and Cellular and Molecular Neuroscience (5 citations). Matilde Mori has collaborated with scholars based in United Kingdom. Frequent co-authors include Rebecca Williams, Michelle Young, Nicholas Cortes, Y Ishii, Pete Philipson, Kordo Saeed, Claire Thomas, Tamehito Onoe, Nathan Moore and Gabrielle Vernet. Their work appears in journals such as Journal of Clinical Pathology, Journal of the International AIDS Society, JAC-Antimicrobial Resistance and PubMed.

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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