Giuseppe D’Ippolito

2.2k citations
163 papers · 1.4k indexed · h-index 18

Giuseppe D’Ippolito

150 papers receiving 1.4k citations

Peers

Giuseppe D’Ippolito
Comparison fields: 5 of 112
  • Hepatology 333
  • Health Informatics 26
  • Radiology, Nuclear Medicine and Imaging 288
  • Surgery 521
  • Parasitology 74
Replace Joseph K. T. Lee with:
Joseph K. T. Lee United States
Ashish P. Wasnik United States
Éric Delabrousse France
Lionel Arrivé France
Dal Mo Yang South Korea
Genevieve L. Bennett United States
Harvey Nisenbaum United States
Nandita Kakkar India
Christian Nolsøe Denmark
Jacob Szejnfeld Brazil
Giuseppe D’Ippolito relative to Joseph K. T. Lee United States Joseph K. T. Lee's profile →
Citations per field
00.5×6.7×
Joseph K. T. Lee · 1×
Citations per year

Countries citing papers authored by Giuseppe D’Ippolito

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe D’Ippolito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giuseppe D’Ippolito. 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 Giuseppe D’Ippolito. The network helps show where Giuseppe D’Ippolito may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20241
5 20243
6 20242
7 20240
8 20231
9 20220
10 20211
11 20204
12 20202
13 20207
14 20202
15 20187
16 20157
17 20152
18 200431
19 200330
20 199016

About Giuseppe D’Ippolito

Giuseppe D’Ippolito is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 163 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (24 papers), Liver Disease Diagnosis and Treatment (24 papers), Liver Disease and Transplantation (17 papers), Pancreatic and Hepatic Oncology Research (16 papers), MRI in cancer diagnosis (15 papers), Gallbladder and Bile Duct Disorders (13 papers), Radiation Dose and Imaging (12 papers) and Pediatric Hepatobiliary Diseases and Treatments (11 papers). The work is most often cited by research in Hepatology (333 citations), Health Informatics (26 citations) and Radiology, Nuclear Medicine and Imaging (288 citations). Giuseppe D’Ippolito has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Jacob Szejnfeld, Muneeb Ahmed, Ulysses S. Torres, Salomão Faintuch, S. Nahum Goldberg, Gustavo de Souza Portes Meirelles, Geoffrey D. Girnun, Jonathan B. Kruskal, Keith Stuart and David Carlos Shigueoka. Their work appears in journals such as PLoS ONE, Radiology and The Journal of Urology.

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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