Debora De Bartolo

452 citations
11 papers · 323 · h-index 5

Impact in

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

Papers in

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

Debora De Bartolo

11 papers receiving 315 citations

Peers

Debora De Bartolo
Comparison fields: 5 of 35
  • Oncology 180
  • Cancer Research 76
  • Radiology, Nuclear Medicine and Imaging 86
  • Genetics 30
  • Pulmonary and Respiratory Medicine 52
Replace Aurélie Maran-Gonzalez with:
Aurélie Maran-Gonzalez France
Maria Karina Greece
Antonia Márquez Spain
Barbara Szostakiewicz Poland
María José Echarri Spain
Anna Ventriglia Italy
Sabela Recalde Spain
Ippei Fukada Japan
Nathalie Quénel-Tueux France
Takuho Okamura Japan
Debora De Bartolo relative to Aurélie Maran-Gonzalez France Aurélie Maran-Gonzalez's profile →
Citations per field
00.5×1.5×1.9×
Aurélie Maran-Gonzalez · 1×
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

11 of 11 papers shown
#Work
1 2021179
2 202285
3 198224
4 202110
5 20229
6 20235
7 20164
8 20233
9
FATAL BLADDER EXPLOSION DURING TRANSURETHRAL RESECTION OF PROSTATE: CASE REPORT AND LITERATURE REVIEW
20172
10 20211
11 20211

About Debora De Bartolo

Debora De Bartolo is a scholar working on Cancer Research, Oncology, Genetics, Radiology, Nuclear Medicine and Imaging and Urology, having authored 11 papers that have together received 323 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), Diagnosis and treatment of tuberculosis (1 paper), Cancer Genomics and Diagnostics (1 paper), Acute Myeloid Leukemia Research (1 paper) and Coronary Artery Anomalies (1 paper). The work is most often cited by research in Oncology (180 citations), Cancer Research (76 citations), Radiology, Nuclear Medicine and Imaging (86 citations), Genetics (30 citations) and Pulmonary and Respiratory Medicine (52 citations). Debora De Bartolo has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include Michele Bottosso, Elisa Genovesi, Matteo Fassan, Grazia Maria Vernaci, Gaia Griguolo, Marcello Mele, Tommaso Giarratano, Valentina Guarneri, Maria Vittoria Dieci and Federica Miglietta. Their work appears in journals such as npj Breast Cancer, Cardiovascular Pathology, Cancers, Pediatric and Developmental Pathology and Annals 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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