Maurizio Mattei

3.5k citations
99 papers · 2.7k indexed · h-index 31
Topics
Immune Cell Function and Interaction (15 papers)Immunotherapy and Immune Responses (9 papers)Tuberculosis Research and Epidemiology (8 papers)

In The Last Decade

Maurizio Mattei

97 papers receiving 2.6k citations

Peers

Maurizio Mattei
Comparison fields: 5 of 140
  • Molecular Biology 1.1k
  • Immunology 469
  • Oncology 342
  • Public Health, Environmental and Occupational Health 313
  • Biomedical Engineering 243
Replace Silvya Stuchi Maria–Engler with:
Silvya Stuchi Maria–Engler Brazil
Massoud Saidijam Iran
Yuan‐Man Hsu Taiwan
Marisa Colone Italy
Hongli Liu China
Geovanni Dantas Cassali Brazil
Gamal Badr Egypt
Xin Liu China
Mohamed F. Elshal Egypt
Maurizio Mattei relative to Silvya Stuchi Maria–Engler Brazil Silvya Stuchi Maria–Engler's profile →
Citations per field
00.5×3.5×
Silvya Stuchi Maria–Engler · 1×
Citations per year

Countries citing papers authored by Maurizio Mattei

Since Specialization
Citations

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

Fields of papers citing papers by Maurizio Mattei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maurizio Mattei

This figure shows the co-authorship network connecting the top 25 collaborators of Maurizio Mattei. A scholar is included among the top collaborators of Maurizio Mattei based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maurizio Mattei. Maurizio Mattei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 5
3 5
4 12
5 25
6 59
7 20
8 10
9 17
10 4
11 9
12 47
13 18
14 46
15 83
16 41
17
Gene-specific inhibition of breast carcinoma in BALB-neuT mice by active immunization with rat Neu or human ErbB receptors.
31
18
Immunogenicity comparison of interferon beta-1a preparations using the BALB/c mouse model: assessment of a new formulation for use in multiple sclerosis.
13
19 67
20 26

About Maurizio Mattei

Maurizio Mattei is a scholar working on Immunology, Virology and Molecular Medicine, having authored 99 papers that have together received 2.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (15 papers), Immunotherapy and Immune Responses (9 papers) and Tuberculosis Research and Epidemiology (8 papers). The work is most often cited by research in Molecular Medicine (118 citations), Immunology (469 citations) and Reproductive Medicine (180 citations). Maurizio Mattei has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Roberta Bernardini, Rosella Cicconi, Vittorio Colizzi, Francesca Gioia Klinger, G. Palmieri, Massimo De Felici, Roberto Bei, Gerry Melino, Andrea Magrini and Cristiano Sacchetti. Their work appears in journals such as Journal of Biological Chemistry, Nature Medicine and ACS Nano.

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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