Giulia Orsi

1.1k citations
34 papers · 514 indexed · h-index 12

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis

Papers in

Giulia Orsi

33 papers receiving 509 citations

Peers

Giulia Orsi
Comparison fields: 5 of 63
  • Hepatology 89
  • Oncology 220
  • Cancer Research 113
  • Pulmonary and Respiratory Medicine 148
  • Gastroenterology 18
Replace Masayuki Otsuka with:
Masayuki Otsuka Japan
Hongbing Shi China
Gataree Ngarmchamnanrith United States
Tae Sung Ahn South Korea
A. Reinacher-Schick Germany
Anne‐Claire Voegeli France
Maria Alessandra Calegari Italy
Fangchao Zheng China
F. De Vita Italy
Bernadette Reyna Asuncion United States
Giulia Orsi relative to Masayuki Otsuka Japan Masayuki Otsuka's profile →
Citations per field
00.5×1.5×2.3×
Masayuki Otsuka · 1×
Citations per year

Countries citing papers authored by Giulia Orsi

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Orsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201961
2 201958
3 201849
4 201849
5 201943
6 201742
7 202339
8 201825
9 202022
10 202115
11 202114
12 202213
13 20229
14 20209
15 20209
16 20178
17 20207
18 20186
19 20186
20 20195

About Giulia Orsi

Giulia Orsi is a scholar working on Hepatology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 34 papers that have together received 514 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (13 papers), Renal cell carcinoma treatment (8 papers), Cancer Genomics and Diagnostics (8 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Colorectal Cancer Treatments and Studies (5 papers), Genetic factors in colorectal cancer (5 papers), Gastric Cancer Management and Outcomes (5 papers) and Pancreatitis Pathology and Treatment (3 papers). The work is most often cited by research in Hepatology (89 citations), Oncology (220 citations), Cancer Research (113 citations), Pulmonary and Respiratory Medicine (148 citations) and Gastroenterology (18 citations). Giulia Orsi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Stefano Cascinu, Andrea Casadei‐Gardini, Giulia Rovesti, Massimo Dominici, Michele Reni, Carlotta Spano, Marina Macchini, Elena Veronesi, Edwin M. Horwitz and Alessandra Recchia. Their work appears in journals such as Cancer Treatment Reviews, Annals of Oncology, Expert Review of Anticancer Therapy, Cancer Chemotherapy and Pharmacology and Critical Reviews in Oncology/Hematology.

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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