Giulia Martina Cavestro

5.8k citations
89 papers · 1.8k indexed · h-index 27

Giulia Martina Cavestro

85 papers receiving 1.8k citations

Peers

Giulia Martina Cavestro
Comparison fields: 5 of 100
  • Gastroenterology 296
  • Surgery 1.2k
  • Oncology 621
  • Emergency Medicine 160
  • Molecular Medicine 60
Replace Ming‐Te Huang with:
Ming‐Te Huang Taiwan
Kim Vaiphei India
Linda A. Feagins United States
Shunji Fujimori Japan
Ryoji Fukushima Japan
Hiromichi Maeda Japan
Matthew McKinley United States
M Adloff France
Toshihisa Takeuchi Japan
Hee Seok Moon South Korea
Giulia Martina Cavestro relative to Ming‐Te Huang Taiwan Ming‐Te Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Giulia Martina Cavestro

Since Specialization
Citations

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

Fields of papers citing papers by Giulia Martina Cavestro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202317
3 20221
4 20213
5 202113
6 202011
7 201911
8 201869
9 201834
10 201610
11 201411
12 201018
13 200627
14 200560
15 200524
16 200553
17 20037
18 200332
19
Gastrointestinal stromal tumours: an analysis based on personal experience.
20021
20 200215

About Giulia Martina Cavestro

Giulia Martina Cavestro is a scholar working on Gastroenterology, Surgery and Oncology, having authored 89 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatitis Pathology and Treatment (22 papers), Helicobacter pylori-related gastroenterology studies (21 papers), Gastrointestinal disorders and treatments (19 papers), Gastroesophageal reflux and treatments (18 papers), Pancreatic and Hepatic Oncology Research (14 papers), Genetic factors in colorectal cancer (13 papers), Colorectal Cancer Screening and Detection (11 papers) and Gastrointestinal motility and disorders (8 papers). The work is most often cited by research in Gastroenterology (296 citations), Surgery (1.2k citations) and Oncology (621 citations). Giulia Martina Cavestro has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Francesco Di Mario, A. Franzè, Giuseppe Comparato, L.G. Cavallaro, Raffaella Alessia Zuppardo, Gioacchino Leandro, Luca Frulloni, V. Iori, Giovanni Aragona and Alessandro Mannucci. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and Gut.

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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