Daniela Rega

4.2k citations
55 papers · 1.1k indexed · h-index 20

Impact in

  • Oncology top 5%
    • Colorectal Cancer Surgical Treatments
    • Pancreatic and Hepatic Oncology Research
    • Colorectal Cancer Screening and Detection

Papers in

Daniela Rega

49 papers receiving 1.1k citations

Peers

Daniela Rega
Comparison fields: 5 of 83
  • Oncology 713
  • Cancer Research 153
  • Surgery 429
  • Hepatology 74
  • Radiology, Nuclear Medicine and Imaging 178
Replace Anwaar Saeed with:
Anwaar Saeed United States
Guoshuang Shen China
Lei Cai China
Bruno Torchio Italy
Bohao Zheng China
Tetsuo Kimura Japan
Melinda M. Mortenson United States
Jürgen Tepel Germany
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Citations per year

Countries citing papers authored by Daniela Rega

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Rega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015247
2 201463
3 201049
4 201647
5 201947
6 201547
7 201045
8 201545
9 201043
10 202141
11 201833
12 201529
13 201927
14 201527
15 201825
16 201823
17 201723
18 201822
19 201320
20 201620

About Daniela Rega

Daniela Rega is a scholar working on Oncology, Gastroenterology, Surgery, Biotechnology and Pulmonary and Respiratory Medicine, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (29 papers), Colorectal and Anal Carcinomas (16 papers), Colorectal Cancer Screening and Detection (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Gastric Cancer Management and Outcomes (7 papers), Genetic factors in colorectal cancer (5 papers), Microbial Inactivation Methods (5 papers) and MRI in cancer diagnosis (5 papers). The work is most often cited by research in Oncology (713 citations), Cancer Research (153 citations), Surgery (429 citations), Hepatology (74 citations) and Radiology, Nuclear Medicine and Imaging (178 citations). Daniela Rega has collaborated with scholars based in Italy, Spain and Switzerland. Frequent co-authors include Paolo Delrio, Ugo Pace, Marina De Rosa, Francesca Duraturo, Paola Izzo, Vincenza Granata, Fabiana Tatangelo, Antonella Petrillo, Biagio Pecori and Dario Scala. Their work appears in journals such as European Journal of Surgical Oncology, Updates in Surgery, Cancers, Techniques in Coloproctology and International Journal of Oncology.

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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