M. Macchi
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
Papers in
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- Genomics and Chromatin Dynamics 4
- RNA Research and Splicing 2
- Glycosylation and Glycoproteins Research 1
- Bioinformatics and Genomic Networks 1
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- Mosquito-borne diseases and control 1
- Sex and Gender in Healthcare 1
- Co-authors
- J.H. Xiao (4 shared papers)Irwin Davidson (4 shared papers)Marc Vigneron (4 shared papers)Ricardo Rosales (4 shared papers)Pierre Chambon (2 shared papers)Adrien Staub (1 shared paper)Frank Ruffenach (1 shared paper)Bohdan Wasylyk (1 shared paper)
- Journals
- The EMBO Journal (3 papers)Genes & Development (1 paper)Journal of Medical Internet Research (1 paper)Nucleic Acids Research (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- FranceLuxembourgBelgium
In The Last Decade
M. Macchi
9 papers receiving 483 citations
Peers
Comparison fields: 5 of 59
- Immunology 124
- Molecular Biology 348
- Cancer Research 60
- Genetics 91
- Virology 14
Countries citing papers authored by M. Macchi
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 143 | |
| 2 | 1987 | 126 | |
| 3 | 1987 | 126 | |
| 4 | 1989 | 60 | |
| 5 | 1988 | 47 | |
| 6 | 1992 | 6 | |
| 7 | 2025 | 4 | |
| 8 | Conocimientos, actitudes y prácticas acerca del Dengue en un barrio de Asunción | 2000 | 2 |
| 9 | 2024 | 1 |
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 515 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (4 papers), RNA Research and Splicing (2 papers), Glycosylation and Glycoproteins Research (1 paper), Animal Genetics and Reproduction (1 paper), Mosquito-borne diseases and control (1 paper), Mobile Health and mHealth Applications (1 paper), Bioinformatics and Genomic Networks (1 paper) and Sex and Gender in Healthcare (1 paper). The work is most often cited by research in Immunology (124 citations), Molecular Biology (348 citations), Cancer Research (60 citations), Genetics (91 citations) and Virology (14 citations). M. Macchi has collaborated with scholars based in France, Luxembourg and Belgium. Frequent co-authors include J.H. Xiao, Irwin Davidson, Marc Vigneron, Ricardo Rosales, Pierre Chambon, Pierre Chambon, Adrien Staub, Frank Ruffenach, Bohdan Wasylyk and Dominique Ferrandon. Their work appears in journals such as The EMBO Journal, Genes & Development, Journal of Medical Internet Research, Nucleic Acids Research and Briefings in Bioinformatics.
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.