Davide Brusa

2.4k citations
58 papers · 1.7k · h-index 23

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Physiology top 2%

Papers in

    • Immunotherapy and Immune Responses 11
    • Immune Cell Function and Interaction 8
    • Phagocytosis and Immune Regulation 6

Davide Brusa

53 papers receiving 1.6k citations

Peers

Davide Brusa
Comparison fields: 5 of 100
  • Immunology 717
  • Physiology 150
  • Oncology 673
  • Genetics 260
  • Geriatrics and Gerontology 63
Replace Junmin Wu with:
Junmin Wu United States
Carol A. Mercer United States
Sachiko Ezoe Japan
Ralph K. Lindemann Germany
C. Christian Johansson Sweden
Arianna Calcinotto Italy
Giusy Di Conza Italy
Lucillia Bezu France
Tadashige Nozaki Japan
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Citations per field
00.5×3.4×
Junmin Wu · 1×
Citations per year

Countries citing papers authored by Davide Brusa

Since Specialization
Citations

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

Fields of papers citing papers by Davide Brusa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013186
2 2014154
3 2014129
4 2011115
5 201590
6 200973
7 201473
8 201661
9 201350
10 202048
11 200848
12 201546
13 201646
14 201344
15 200939
16 202036
17 201735
18 202032
19 201028
20 202227

About Davide Brusa

Davide Brusa is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Surgery, having authored 58 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (11 papers), Chronic Lymphocytic Leukemia Research (8 papers), Immune Cell Function and Interaction (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), Calcium signaling and nucleotide metabolism (6 papers), Phagocytosis and Immune Regulation (6 papers), Adenosine and Purinergic Signaling (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Immunology (717 citations), Physiology (150 citations), Oncology (673 citations), Genetics (260 citations) and Geriatrics and Gerontology (63 citations). Davide Brusa has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Silvia Deaglio, Sara Serra, Davide Rossi, Gianluca Gaïdano, Marta Coscia, Valentina Audrito, Lina Matera, Giorgio Inghirami, Fabio Malavasi and Tiziana Vaisitti. Their work appears in journals such as Blood, Frontiers in Immunology, Cancers, Cancer Letters and The Prostate.

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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