Angelo Paradiso

20.8k citations
336 papers · 7.8k indexed · h-index 45

Angelo Paradiso

333 papers receiving 7.6k citations

Peers

Angelo Paradiso
Comparison fields: 5 of 168
  • Cancer Research 2.0k
  • Oncology 2.9k
  • Molecular Biology 3.9k
  • Pathology and Forensic Medicine 652
  • Hepatology 281
Replace Caj Haglund with:
Caj Haglund Finland
Silvano Bòsari Italy
Efthimios Sivridis Greece
Lance D. Miller United States
David E. Misek United States
Giuseppe Palmieri Italy
David Chang United States
Yun Zhang China
Mark A. Watson United States
Peter J.K. Kuppen Netherlands
Angelo Paradiso relative to Caj Haglund Finland Caj Haglund's profile →
Citations per field
00.5×1.5×
Caj Haglund · 1×
Citations per year

Countries citing papers authored by Angelo Paradiso

Since Specialization
Citations

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

Fields of papers citing papers by Angelo Paradiso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20225
2 20222
3 202134
4 20215
5 20215
6 20215
7 20216
8 202021
9 202010
10 20203
11 202016
12 20204
13 202028
14 202019
15 202028
16
Serotonin transporter polymorphism in major depressive disorder (MDD), psychiatric disorders, and in MDD in response to stressful life events: causes and treatment with antidepressant.
201214
17 200793
18
Mutations in TP53 and associated genomic abnormalities are dependent on breast cancer estrogen receptor status and patient age
20071
19 20071
20 200566

About Angelo Paradiso

Angelo Paradiso is a scholar working on Cancer Research, Oncology and Genetics, having authored 336 papers that have together received 7.8k indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (42 papers), Breast Cancer Treatment Studies (41 papers), HER2/EGFR in Cancer Research (34 papers), Cancer Genomics and Diagnostics (25 papers), Colorectal Cancer Treatments and Studies (23 papers), Lung Cancer Treatments and Mutations (22 papers), Estrogen and related hormone effects (21 papers) and Cancer Treatment and Pharmacology (21 papers). The work is most often cited by research in Cancer Research (2.0k citations), Oncology (2.9k citations) and Molecular Biology (3.9k citations). Angelo Paradiso has collaborated with scholars based in Italy, United States and China. Frequent co-authors include Stefania Tommasi, Amalia Azzariti, Anita Mangia, Stephan J. Reshkin, Francesco Schittulli, Antonia Bellizzi, Letizia Porcelli, Giovanni de Simone, Antonella Daniele and Rosa Divella. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Breast Cancer Research and Treatment, International Journal of Oncology 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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