Chiara Quadrelli

725 citations
13 papers · 187 · h-index 9

Impact in

    • Viral-associated cancers and disorders
    • Chronic Myeloid Leukemia Treatments

Papers in

    • Viral-associated cancers and disorders 4
    • CAR-T cell therapy research 2
    • Cytomegalovirus and herpesvirus research 3
    • Fungal Infections and Studies 2

Chiara Quadrelli

13 papers receiving 183 citations

Peers

Chiara Quadrelli
Comparison fields: 5 of 39
  • Oncology 98
  • Hematology 40
  • Transplantation 7
  • Genetics 22
  • Epidemiology 57
Replace Hidekazu Itamura with:
Hidekazu Itamura Japan
É. Rivaud France
Chiara Pratesi Italy
Maite Encuentra Spain
Bhuvan Kishore United Kingdom
Michael Bär United States
Lisandro Ribeiro Brazil
Floris C. Loeff Netherlands
Michelle Poon Singapore
Devang Prajapati United States
Chiara Quadrelli relative to Hidekazu Itamura Japan Hidekazu Itamura's profile →
Citations per field
00.5×1.5×
Hidekazu Itamura · 1×
Citations per year

Countries citing papers authored by Chiara Quadrelli

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Quadrelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200855
2 200928
3 200722
4 201618
5 201113
6 200810
7 20169
8 20169
9 20088
10 19865
11 20104
12 20114
13
[Clinical evaluation of the efficacy and tolerability of 2 acyl-ureido-penicillins (mezlocillin and piperacillin) in the treatment of chronic bronchitis during acute phase].
19902

About Chiara Quadrelli

Chiara Quadrelli is a scholar working on Oncology, Epidemiology, Infectious Diseases, Genetics and Hematology, having authored 13 papers that have together received 187 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (4 papers), Cytomegalovirus and herpesvirus research (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Antifungal resistance and susceptibility (2 papers), Fungal Infections and Studies (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), CAR-T cell therapy research (2 papers) and Acute Myeloid Leukemia Research (1 paper). The work is most often cited by research in Oncology (98 citations), Hematology (40 citations), Transplantation (7 citations), Genetics (22 citations) and Epidemiology (57 citations). Chiara Quadrelli has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Mario Luppi, Giovanni Riva, Patrizia Barozzi, Leonardo Potenza, Daniela Vallerini, Giuseppe Torelli, Fabio Forghieri, Raffaella Bosco, Claudio Bordignon and Gianni Cappelli. Their work appears in journals such as Transplantation, Clinical and Vaccine Immunology, Seminars in Arthritis and Rheumatism, Blood and Autoimmunity Reviews.

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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