Maria De Pizzol

2.5k citations
12 papers · 1.3k indexed · h-index 12
  • Immunology top 5%
    • Immunotherapy and Immune Responses 4
    • Immune cells in cancer 3
    • interferon and immune responses 2
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
  • Oncology top 10%
    • Chemokine receptors and signaling 3
    • Cancer Cells and Metastasis 2
    • Pancreatic and Hepatic Oncology Research 1
  • Hematology top 10%
  • Genetics top 10%
    • COVID-19 Clinical Research Studies 2

Maria De Pizzol

12 papers receiving 1.3k citations

Peers

Maria De Pizzol
Comparison fields: 5 of 90
  • Immunology 723
  • Oncology 368
  • Hematology 142
  • Cancer Research 142
  • Genetics 97
Replace Floris P. J. van Alphen with:
Floris P. J. van Alphen Netherlands
Eugene Y. Koh United States
Alison Farley Australia
Koji Eshima Japan
Weronika Kurowska Poland
Pei‐Suen Tsou United States
Matthew R. Farren United States
Christy C. Park United States
Jae-Hung Shieh United States
Maria De Pizzol relative to Floris P. J. van Alphen Netherlands Floris P. J. van Alphen's profile →
Citations per field
00.5×1.5×1.8×
Floris P. J. van Alphen · 1×
Citations per year

Countries citing papers authored by Maria De Pizzol

Since Specialization
Citations

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

Fields of papers citing papers by Maria De Pizzol

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria De Pizzol. 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 Maria De Pizzol. The network helps show where Maria De Pizzol may publish in the future.

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 202219
2 202217
3 202219
4 201730
5 201732
6 2016316
7 201562
8 201266
9 201159
10 2011288
11 201052
12 2009342

About Maria De Pizzol

Maria De Pizzol is a scholar working on Immunology, Oncology and Microbiology, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Immune cells in cancer (3 papers), Chemokine receptors and signaling (3 papers), interferon and immune responses (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), COVID-19 Clinical Research Studies (2 papers), Cancer Cells and Metastasis (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Immunology (723 citations), Oncology (368 citations) and Hematology (142 citations). Maria De Pizzol has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Massimo Locati, Luca Zammataro, Óscar M. Pello, Domenico Girelli, Gaetano Cairo, Paolo Santambrogio, Federica Zaninotto, Stefania Recalcati, Marcello Allegretti and Alberto Mantovani. Their work appears in journals such as Blood, The Journal of Immunology and Clinical Cancer Research.

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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