Luisa Piccin

446 citations
16 papers · 219 · h-index 5

Impact in

    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Colorectal Cancer Treatments and Studies
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Cancer Immunotherapy and Biomarkers 6
    • Inflammatory Biomarkers in Disease Prognosis 2
    • Melanoma and MAPK Pathways 4
    • Single-cell and spatial transcriptomics 1

Luisa Piccin

14 papers receiving 218 citations

Peers

Luisa Piccin
Comparison fields: 5 of 38
  • Oncology 167
  • Immunology 53
  • Pulmonary and Respiratory Medicine 69
  • Hepatology 11
  • Radiology, Nuclear Medicine and Imaging 31
Replace Silvana Acquafredda with:
Silvana Acquafredda Italy
Ying Cheng China
Alexandre Wicky Switzerland
Haocan Song United States
Anne Laure Voisin France
Ryota Shibaki Japan
Jason Cham United States
Masayuki Shirasawa Japan
Susan Stonehouse-Lee United States
Aaron E. Sosa Spain
Luisa Piccin relative to Silvana Acquafredda Italy Silvana Acquafredda's profile →
Citations per field
00.5×
Silvana Acquafredda · 1×
Citations per year

Countries citing papers authored by Luisa Piccin

Since Specialization
Citations

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

Fields of papers citing papers by Luisa Piccin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2018143
2 201938
3 20248
4 20247
5 20234
6 20223
7 20193
8 20213
9 20223
10 20243
11 20251
12 20191
13 20251
14 20151
15 20240
16 20250

About Luisa Piccin

Luisa Piccin is a scholar working on Oncology, Molecular Biology, Immunology, Organic Chemistry and Computational Theory and Mathematics, having authored 16 papers that have together received 219 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (6 papers), Melanoma and MAPK Pathways (4 papers), Computational Drug Discovery Methods (3 papers), Synthesis and biological activity (3 papers), Immunotherapy and Immune Responses (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Cancer Genomics and Diagnostics (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Oncology (167 citations), Immunology (53 citations), Pulmonary and Respiratory Medicine (69 citations), Hepatology (11 citations) and Radiology, Nuclear Medicine and Imaging (31 citations). Luisa Piccin has collaborated with scholars based in Italy, United Kingdom and Greece. Frequent co-authors include Vanna Chiarion‐Sileni, Jacopo Pigozzo, Sandro Pasquali, Simone Mocellin, Sara Valpione, L Campana, Sara Pellegrino, Rosa Fonti, Elide Matano and Silvana Del Vecchio. Their work appears in journals such as Journal of Clinical Oncology, Journal of Translational Medicine, Cancers, Frontiers in Oncology and Pharmaceuticals.

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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