Mattéo Riva

1.2k citations
47 papers · 830 · h-index 16

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Virus-based gene therapy research

Papers in

    • Immune cells in cancer 6
    • Immunotherapy and Immune Responses 5
    • Immune Cell Function and Interaction 3
    • Traumatic Brain Injury and Neurovascular Disturbances 5
    • Neurological Disease Mechanisms and Treatments 4

Mattéo Riva

46 papers receiving 810 citations

Peers

Mattéo Riva
Comparison fields: 5 of 82
  • Immunology 258
  • Genetics 112
  • Oncology 229
  • Neurology 91
  • Neurology 42
Replace Wilfrid Richer with:
Wilfrid Richer France
Chibawanye Ene United States
Kenichiro Iwami Japan
Xiaosi Han United States
Katayoun Ayasoufi United States
Dina Randazzo United States
Andrea Muscat Australia
Brad Stone United States
Mandeep Singh India
Smita K. Nair United States
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Citations per field
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Citations per year

Countries citing papers authored by Mattéo Riva

Since Specialization
Citations

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

Fields of papers citing papers by Mattéo Riva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014177
2 201679
3 201969
4 202250
5 200844
6 201737
7 201731
8 201129
9 201925
10 202025
11 202022
12 202020
13 201419
14
Hemangiopericytoma of the spleen.
198918
15 202117
16 202216
17 200912
18 201912
19 201212
20 200412

About Mattéo Riva

Mattéo Riva is a scholar working on Immunology, Neurology, Pulmonary and Respiratory Medicine, Epidemiology and Oncology, having authored 47 papers that have together received 830 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (7 papers), Immune cells in cancer (6 papers), Acute Ischemic Stroke Management (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Immunotherapy and Immune Responses (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Neurological Disease Mechanisms and Treatments (4 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (258 citations), Genetics (112 citations), Oncology (229 citations), Neurology (91 citations) and Neurology (42 citations). Mattéo Riva has collaborated with scholars based in Belgium, Italy and Germany. Frequent co-authors include Lien Vandenberk, Stefaan Van Gool, An Coosemans, Louis Boon, Carolien Koks, Abhishek D. Garg, Norbert Graf, Steven De Vleeschouwer, Michael Ehrhardt and Patrizia Agostinis. Their work appears in journals such as Acta Neurochirurgica, Frontiers in Immunology, Neurosurgery, Cancers and Journal of Visualized Experiments.

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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