Giuliana Amaddeo

8.0k citations
48 papers · 3.8k indexed · 4 hit papers · h-index 21

Giuliana Amaddeo

48 papers receiving 3.8k citations

Hit Papers

Intra-tumoral tertiary lymphoid structures are as...31520122026201620212505007501000

Peers

Giuliana Amaddeo
Comparison fields: 5 of 94
  • Hepatology 1.8k
  • Cancer Research 914
  • Oncology 1.1k
  • Epidemiology 1.2k
  • Immunology 464
Replace Luca Di Tommaso with:
Luca Di Tommaso Italy
Baogang Peng China
Enrico N. De Toni Germany
Kang Mo Kim South Korea
Lun‐Xiu Qin China
Toshiya Kamiyama Japan
Sheng-Long Ye China
Zhao-You Tang China
Aaron Pollett Canada
Anja Lachenmayer Switzerland
Giuliana Amaddeo relative to Luca Di Tommaso Italy Luca Di Tommaso's profile →
Citations per field
00.5×1.7×
Luca Di Tommaso · 1×
Citations per year

Countries citing papers authored by Giuliana Amaddeo

Since Specialization
Citations

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

Fields of papers citing papers by Giuliana Amaddeo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20241
3 202416
4 20242
5 20242
6 20231
7 202272
8 20229
9 20222
10 202219
11 202211
12 202115
13 2020200
14 202018
15 202019
16 201953
17 201840
18 201825
19 2012111
20
Integrated analysis of somatic mutations and focal copy-number changes identifies key genes and pathways in hepatocellular carcinomabreakdown →
20121072

About Giuliana Amaddeo

Giuliana Amaddeo is a scholar working on Hepatology, Cancer Research and Aging, having authored 48 papers that have together received 3.8k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (26 papers), Liver Disease Diagnosis and Treatment (13 papers), Hepatitis B Virus Studies (7 papers), Hepatitis C virus research (7 papers), Cancer Mechanisms and Therapy (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). The work is most often cited by research in Hepatology (1.8k citations), Cancer Research (914 citations) and Oncology (1.1k citations). Giuliana Amaddeo has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Julien Caldéraro, Jessica Zucman‐Rossi, Alexis Laurent, Sandrine Imbeaud, Paulette Bioulac‐Sage, Éric Letouzé, Gabrielle Couchy, Alain Luciani, Jean‐Charles Nault and Daniel Azoulay. Their work appears in journals such as Nature Genetics, SHILAP Revista de lepidopterología and Gastroenterology.

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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