Davide Brusa

2.5k citations
60 papers · 1.7k · h-index 24

Impact in

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

Papers in

    • Immunotherapy and Immune Responses 10
    • Immune Cell Function and Interaction 6
    • Phagocytosis and Immune Regulation 6

Davide Brusa

54 papers receiving 1.7k citations

Peers

Davide Brusa
Comparison fields: 5 of 99
  • Physiology 149
  • Immunology 641
  • Genetics 249
  • Oncology 587
  • Geriatrics and Gerontology 62
Replace Junmin Wu with:
Junmin Wu United States
Carol A. Mercer United States
Claudia A. Dumitru Germany
Bryan C. Barnhart United States
Arianna Calcinotto Italy
Tadashige Nozaki Japan
Giusy Di Conza Italy
Christoph Peter Germany
Jouko Sandholm Finland
Hee‐Jun Wee South Korea
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Citations per field
00.5×3.6×
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 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013189
2 2014155
3 2014129
4 2011117
5 201591
6 201474
7 200974
8 201663
9 202051
10 201350
11 200848
12 201646
13 201546
14 201345
15 200940
16 202039
17 201737
18 202033
19 202229
20 201028

About Davide Brusa

Davide Brusa is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Physiology, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Chronic Lymphocytic Leukemia Research (8 papers), Calcium signaling and nucleotide metabolism (6 papers), Immune Cell Function and Interaction (6 papers), Phagocytosis and Immune Regulation (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Adenosine and Purinergic Signaling (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Physiology (149 citations), Immunology (641 citations), Genetics (249 citations), Oncology (587 citations) and Geriatrics and Gerontology (62 citations). Davide Brusa has collaborated with scholars based in Italy, Belgium and United States. Frequent co-authors include Silvia Deaglio, Sara Serra, Gianluca Gaïdano, Davide Rossi, Marta Coscia, Valentina Audrito, Giorgio Inghirami, Lina Matera, Fabio Malavasi and Tiziana Vaisitti. Their work appears in journals such as Blood, Cancer Letters, Cancers, Frontiers in Immunology 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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