Riccardo De Robertis

2.6k citations
78 papers · 1.5k indexed · h-index 23
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research 49
    • Lung Cancer Research Studies 9
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis 10
    • Radiomics and Machine Learning in Medical Imaging 17
    • MRI in cancer diagnosis 16
    • Neuroendocrine Tumor Research Advances 27
    • Liver Disease Diagnosis and Treatment 6
  • Surgery top 10%
    • Pancreatitis Pathology and Treatment 14

Riccardo De Robertis

73 papers receiving 1.5k citations

Peers

Riccardo De Robertis
Comparison fields: 5 of 82
  • Oncology 838
  • Hepatology 242
  • Radiology, Nuclear Medicine and Imaging 538
  • Epidemiology 560
  • Surgery 432
Replace S Zangos with:
S Zangos Germany
Philipp M. Paprottka Germany
Lambros Tselikas France
Paolo Marra Italy
Andrea Belli Italy
Tatsuya Higashi Japan
Masakatsu Tsurusaki Japan
Sridhar Shankar United States
Shaakir Hasan United States
Kiyoshi Ohara Japan
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Citations per field
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Citations per year

Countries citing papers authored by Riccardo De Robertis

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo De Robertis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Riccardo De Robertis. 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 Riccardo De Robertis. The network helps show where Riccardo De Robertis may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202320
3 20233
4 202111
5 20209
6 202010
7 201916
8 201956
9 201830
10 201867
11 20187
12 201720
13 20179
14 20173
15 201614
16 201625
17 201520
18 20140
19 201415
20 201333

About Riccardo De Robertis

Riccardo De Robertis is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 78 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (49 papers), Neuroendocrine Tumor Research Advances (27 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), MRI in cancer diagnosis (16 papers), Pancreatitis Pathology and Treatment (14 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Lung Cancer Research Studies (9 papers) and Liver Disease Diagnosis and Treatment (6 papers). The work is most often cited by research in Oncology (838 citations), Hepatology (242 citations) and Radiology, Nuclear Medicine and Imaging (538 citations). Riccardo De Robertis has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Mirko D’Onofrio, Stefano Crosara, Roberto Pozzi Mucelli, Roberto Salvia, Claudio Bassi, Paola Capelli, Nicolò Cardobi, Giovanni Butturini, Salvatore Paiella and Sara Cingarlini. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Scientific Reports.

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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