Fabrizio Puglisi

587 citations
23 papers · 426 indexed · h-index 13
  • Hematology top 10%
    • Multiple Myeloma Research and Treatments 5
    • Immune cells in cancer 7
    • Immune Cell Function and Interaction 3
    • Inflammation biomarkers and pathways 2
    • Chemokine receptors and signaling 4
    • Inflammatory Biomarkers in Disease Prognosis 2
    • Protein Degradation and Inhibitors 2
    • Cancer, Hypoxia, and Metabolism 3

Fabrizio Puglisi

22 papers receiving 416 citations

Peers

Fabrizio Puglisi
Comparison fields: 5 of 73
  • Hematology 144
  • Immunology 138
  • Oncology 124
  • Genetics 42
  • Molecular Biology 182
Replace Debora Valli with:
Debora Valli Italy
Lawrence N. Barrera United Kingdom
Almudena Chaves Perez United States
Ganchimeg Ishdorj Canada
Rong H. Zhang United States
Hsiao-Ling Hung United States
Runze Qiu China
Sudipta Biswas United States
R Kancherla United States
Sophia Hatziieremia United Kingdom
Fabrizio Puglisi relative to Debora Valli Italy Debora Valli's profile →
Citations per field
00.5×2.9×
Debora Valli · 1×
Citations per year

Countries citing papers authored by Fabrizio Puglisi

Since Specialization
Citations

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

Fields of papers citing papers by Fabrizio Puglisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202214
2 20224
3 20210
4 202039
5 202042
6 202045
7 202029
8 201938
9 201928
10 201919
11 201912
12 20182
13 20178
14 20172
15 20171
16 201632
17 201615
18 20158
19 20153
20 20095

About Fabrizio Puglisi

Fabrizio Puglisi is a scholar working on Hematology, Immunology and Oncology, having authored 23 papers that have together received 426 indexed citations. Recurring topics across this work include Immune cells in cancer (7 papers), Multiple Myeloma Research and Treatments (5 papers), Chemokine receptors and signaling (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Immune Cell Function and Interaction (3 papers), Protein Degradation and Inhibitors (2 papers), Inflammation biomarkers and pathways (2 papers) and Inflammatory Biomarkers in Disease Prognosis (2 papers). The work is most often cited by research in Hematology (144 citations), Immunology (138 citations) and Oncology (124 citations). Fabrizio Puglisi has collaborated with scholars based in Italy, Saudi Arabia and France. Frequent co-authors include Daniele Tibullo, Cesarina Giallongo, Francesco Di Raimondo, Alessandra Romano, Giuseppe A. Palumbo, Nunziatina Laura Parrinello, Concetta Conticello, Alessandro Barbato, Giuseppina Camiolo and Giovanni Li Volti. Their work appears in journals such as Blood, Scientific Reports and International Journal of Molecular Sciences.

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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