M. Macchi

567 citations
9 papers · 496 indexed · h-index 6

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • RNA Interference and Gene Delivery

Papers in

M. Macchi

8 papers receiving 470 citations

Peers

M. Macchi
Comparison fields: 5 of 61
  • Immunology 122
  • Molecular Biology 338
  • Cancer Research 59
  • Genetics 89
  • Virology 14
Replace Diane Giannola with:
Diane Giannola United States
D. Rahman United Kingdom
R N Eisenman United States
F Grosveld United Kingdom
Tapio Kesti Finland
L D Vales United States
Julita Ramírez United States
N G Copeland United States
J M Buerstedde United States
Jinzhi Duan China
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Citations per field
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Diane Giannola · 1×
Citations per year

Countries citing papers authored by M. Macchi

Since Specialization
Citations

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

Fields of papers citing papers by M. Macchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 1987138
2 1987124
3 1987122
4 198958
5 198846
6 19925
7
Conocimientos, actitudes y prácticas acerca del Dengue en un barrio de Asunción
20002
8 20251
9 20240

About M. Macchi

M. Macchi is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Radiology, Nuclear Medicine and Imaging, Genetics and Immunology, having authored 9 papers that have together received 496 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (2 papers), Animal Genetics and Reproduction (1 paper), Genetic Associations and Epidemiology (1 paper), Bone health and osteoporosis research (1 paper), Malaria Research and Control (1 paper), RNA and protein synthesis mechanisms (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Immunology (122 citations), Molecular Biology (338 citations), Cancer Research (59 citations), Genetics (89 citations) and Virology (14 citations). M. Macchi has collaborated with scholars based in France, Luxembourg and Australia. Frequent co-authors include Ricardo Rosales, J.H. Xiao, Irwin Davidson, Marc Vigneron, Pierre Chambon, Pierre Chambon, Adrien Staub, Frank Ruffenach, Dominique Ferrandon and Bohdan Wasylyk. Their work appears in journals such as The EMBO Journal, Briefings in Bioinformatics, Journal of Medical Internet Research, Nucleic Acids Research and Genes & Development.

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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