Mario Di Matteo

2.5k citations
20 papers · 1.6k indexed · 1 hit paper · h-index 15
Topics
Virus-based gene therapy research (4 papers)RNA Interference and Gene Delivery (4 papers)Glycosylation and Glycoproteins Research (3 papers)

In The Last Decade

Mario Di Matteo

20 papers receiving 1.6k citations

Hit Papers

MET is required for the recruitment of anti-tumoural neut...20152026201820222015100200300

Peers

Mario Di Matteo
Comparison fields: 5 of 93
  • Molecular Biology 803
  • Immunology 745
  • Oncology 481
  • Cancer Research 335
  • Genetics 160
Replace Minyang Fu with:
Minyang Fu China
Keiji Furuuchi Japan
Jens Serneels Belgium
Liqin Zhu United States
Alison Farley Australia
Jiwang Zhang United States
Eva Van Overmeire Belgium
Chang‐Il Hwang United States
Jia‐Cheng Lu China
Lynn Vitale‐Cross United States
Mario Di Matteo relative to Minyang Fu China Minyang Fu's profile →
Citations per field
00.5×3.2×
Minyang Fu · 1×
Citations per year

Countries citing papers authored by Mario Di Matteo

Since Specialization
Citations

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

Fields of papers citing papers by Mario Di Matteo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mario Di Matteo. 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 Mario Di Matteo. The network helps show where Mario Di Matteo may publish in the future.

Co-authorship network of co-authors of Mario Di Matteo

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Di Matteo. A scholar is included among the top collaborators of Mario Di Matteo 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 Mario Di Matteo. Mario Di Matteo 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 18
3 11
4 29
5 5
6 178
7 10
8 20
9 174
10 2
11 95
12 388
13
MET is required for the recruitment of anti-tumoural neutrophilsbreakdown →
378
14 18
15 65
16 39
17 42
18 36
19 73
20 14

About Mario Di Matteo

Mario Di Matteo is a scholar working on Immunology, Cancer Research and Biotechnology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology (745 citations), Cancer Research (335 citations) and Oncology (481 citations). Mario Di Matteo has collaborated with scholars based in Belgium, Italy and United Kingdom. Frequent co-authors include Massimiliano Mazzone, Hans Prenen, Jens Serneels, Min Shang, Peter Carmeliet, Bart Ghesquière, Rosa Martín‐Pérez, Mathias Wenes, Jermaine Goveia and Giusy Di Conza. Their work appears in journals such as Nature, Nucleic Acids Research and Blood.

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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