Debora De Bartolo

435 citations
10 papers · 289 · h-index 6

Impact in

    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology
    • Breast Cancer Treatment Studies

Papers in

    • HER2/EGFR in Cancer Research 3
    • Cancer Cells and Metastasis 2
    • Breast Cancer Treatment Studies 3
    • Cancer Genomics and Diagnostics 1

Debora De Bartolo

10 papers receiving 285 citations

Peers

Debora De Bartolo
Comparison fields: 5 of 33
  • Oncology 160
  • Cancer Research 68
  • Radiology, Nuclear Medicine and Imaging 78
  • Genetics 28
  • Pulmonary and Respiratory Medicine 46
Replace Maria Karina with:
Maria Karina Greece
Ferdinand Haslbauer Austria
Barbara Szostakiewicz Poland
Lyudmila Zhukova Russia
Anna Ventriglia Italy
Ippei Fukada Japan
Laura Sánchez-Tejada Spain
Danilo Galizia Italy
A. Stopeck United States
Kokoro Kobayashi Japan
Debora De Bartolo relative to Maria Karina Greece Maria Karina's profile →
Citations per field
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Citations per year

Countries citing papers authored by Debora De Bartolo

Since Specialization
Citations

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

Fields of papers citing papers by Debora De Bartolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2021159
2 202277
3 198220
4 20219
5 20228
6 20236
7 20164
8 20233
9
FATAL BLADDER EXPLOSION DURING TRANSURETHRAL RESECTION OF PROSTATE: CASE REPORT AND LITERATURE REVIEW
20172
10 20211

About Debora De Bartolo

Debora De Bartolo is a scholar working on Oncology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 289 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (3 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Cells and Metastasis (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer Genomics and Diagnostics (1 paper), Gallbladder and Bile Duct Disorders (1 paper), Urological Disorders and Treatments (1 paper) and Cardiac Arrhythmias and Treatments (1 paper). The work is most often cited by research in Oncology (160 citations), Cancer Research (68 citations), Radiology, Nuclear Medicine and Imaging (78 citations), Genetics (28 citations) and Pulmonary and Respiratory Medicine (46 citations). Debora De Bartolo has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include PierFranco Conte, Grazia Maria Vernaci, Tommaso Giarratano, Maria Vittoria Dieci, Marcello Mele, Valentina Guarneri, Matteo Fassan, Elisa Genovesi, Gaia Griguolo and Michele Bottosso. Their work appears in journals such as npj Breast Cancer, Cardiovascular Pathology, Cancers, Annals of Oncology and Pediatric and Developmental Pathology.

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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