Francesca Daniel

545 citations
21 papers · 180 · h-index 7

Impact in

    • Cancer Genomics and Diagnostics
    • Colorectal Cancer Treatments and Studies
    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology

Papers in

Francesca Daniel

17 papers receiving 178 citations

Peers

Francesca Daniel
Comparison fields: 5 of 38
  • Cancer Research 68
  • Oncology 123
  • Pathology and Forensic Medicine 59
  • Pulmonary and Respiratory Medicine 56
  • Geriatrics and Gerontology 6
Replace Yang Lv with:
Yang Lv China
Thomas Göhler Germany
Yuqiu Xu China
Valeria Smiroldo Italy
D. Páez López-Bravo Spain
Jorge Adeva Spain
Jean Philippe Metges France
Ming-Ming He China
Sara Fancelli Italy
Olçun Ümit Ünal Türkiye
Francesca Daniel relative to Yang Lv China Yang Lv's profile →
Citations per field
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Yang Lv · 1×
Citations per year

Countries citing papers authored by Francesca Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202265
2 202147
3 202112
4 20199
5 20218
6 20156
7 20226
8 20235
9 20224
10 20154
11 20234
12 20213
13 20232
14 20232
15 20231
16 20171
17 20231
18 20160
19 20220
20 20220

About Francesca Daniel

Francesca Daniel is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Hepatology, having authored 21 papers that have together received 180 indexed citations. Recurring topics across this work include Colorectal Cancer Treatments and Studies (14 papers), Genetic factors in colorectal cancer (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Cancer Treatment and Pharmacology (3 papers), Cancer Genomics and Diagnostics (3 papers), Gastric Cancer Management and Outcomes (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). The work is most often cited by research in Cancer Research (68 citations), Oncology (123 citations), Pathology and Forensic Medicine (59 citations), Pulmonary and Respiratory Medicine (56 citations) and Geriatrics and Gerontology (6 citations). Francesca Daniel has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Sara Lonardi, A. Milani, Filippo Pietrantonio, Silvia Marsoni, Paolo Manca, Mondher Toumi, Alberto Bardelli, Anna Sapino, Salvatore Siena and Francesca Bergamo. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Cancers, European Journal of Cancer and Value in Health.

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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