Vera Damuzzo

1.4k citations
30 papers · 1.1k · h-index 13

Impact in

  • Immunology top 5%
    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Immunotherapy and Immune Responses
    • Inflammation biomarkers and pathways
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis

Papers in

    • Cancer Immunotherapy and Biomarkers 8
    • Cancer Cells and Metastasis 4
    • Immune cells in cancer 7
    • Immune Cell Function and Interaction 5

Vera Damuzzo

26 papers receiving 1.1k citations

Peers

Vera Damuzzo
Comparison fields: 5 of 78
  • Immunology 826
  • Oncology 427
  • Neurology 55
  • Biological Psychiatry 10
  • Genetics 42
Replace Amanda Youmans with:
Amanda Youmans United States
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Ley‐Fang Kua Singapore
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Citations per field
00.5×4.5×
Amanda Youmans · 1×
Citations per year

Countries citing papers authored by Vera Damuzzo

Since Specialization
Citations

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

Fields of papers citing papers by Vera Damuzzo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014318
2 2016171
3 2014143
4 2015108
5 2014107
6 201650
7 201337
8 201232
9 201923
10 201919
11 202317
12 201715
13 202213
14 201912
15 20188
16 20176
17 20175
18 20215
19 20203
20 20223

About Vera Damuzzo

Vera Damuzzo is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Surgery and Economics and Econometrics, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Immune cells in cancer (7 papers), Immune Cell Function and Interaction (5 papers), Cancer Cells and Metastasis (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Lung Cancer Treatments and Mutations (3 papers), Pharmaceutical Practices and Patient Outcomes (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Immunology (826 citations), Oncology (427 citations), Neurology (55 citations), Biological Psychiatry (10 citations) and Genetics (42 citations). Vera Damuzzo has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Susanna Mandruzzato, Vincenzo Bronte, Samantha Solito, Laura Pinton, Ilaria Marigo, Giacomo Desantis, Marco Chiumente, Cedrik M. Britten, Steffen Walter and Cécile Gouttefangeas. Their work appears in journals such as Cancers, Cytometry Part B Clinical Cytometry, Frontiers in Oncology, Journal of Chemotherapy and Oncotarget.

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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