Francesco Bloise

458 citations
20 papers · 323 · h-index 8

Impact in

    • MicroRNA in disease regulation
    • Cancer Genomics and Diagnostics
    • Cancer Immunotherapy and Biomarkers

Papers in

Francesco Bloise

18 papers receiving 316 citations

Peers

Francesco Bloise
Comparison fields: 5 of 65
  • Cancer Research 107
  • Oncology 109
  • Immunology 72
  • Modeling and Simulation 15
  • Molecular Biology 144
Replace Miao Liu with:
Miao Liu China
Kelly Lien Canada
Bassim Al Bahrani Oman
Shyam Aggarwal India
Christine Merenda United States
Jia Wei China
Hiltraud Kajüter Germany
Elias Jabbour Brazil
Siqi Dai China
Ainhoa Madariaga Spain
Francesco Bloise relative to Miao Liu China Miao Liu's profile →
Citations per field
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Miao Liu · 1×
Citations per year

Countries citing papers authored by Francesco Bloise

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Bloise

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2018205
2 202130
3 202113
4 202211
5 202011
6 202010
7 20198
8 20197
9 20217
10 20216
11
Inequality and elections in Italian regions
20193
12 20203
13 20232
14 20232
15 20202
16 20241
17 20201
18 20211
19 20190
20 20220

About Francesco Bloise

Francesco Bloise is a scholar working on Economics and Econometrics, Sociology and Political Science, Pulmonary and Respiratory Medicine, Oncology and Political Science and International Relations, having authored 20 papers that have together received 323 indexed citations. Recurring topics across this work include Intergenerational and Educational Inequality Studies (4 papers), Income, Poverty, and Inequality (3 papers), Labor market dynamics and wage inequality (3 papers), Fiscal Policy and Economic Growth (2 papers), Firm Innovation and Growth (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Populism, Right-Wing Movements (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Cancer Research (107 citations), Oncology (109 citations), Immunology (72 citations), Modeling and Simulation (15 citations) and Molecular Biology (144 citations). Francesco Bloise has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Stefania Crucitta, Marzia Del Re, Romano Danesi, Massimiliano Tancioni, Giuliana Restante, Iacopo Petrini, Caterina Vivaldi, Eleonora Rofi, G. Pasquini and E. Arrigoni. Their work appears in journals such as British Journal of Cancer, Journal of Personalized Medicine, International Tax and Public Finance, Future Oncology and Industrial and Corporate Change.

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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