D. Perroni

484 citations
10 papers · 223 · h-index 8

Impact in

    • Breast Cancer Treatment Studies
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics
    • Cancer Treatment and Pharmacology
    • Lung Cancer Research Studies
    • HER2/EGFR in Cancer Research

Papers in

D. Perroni

10 papers receiving 213 citations

Peers

D. Perroni
Comparison fields: 5 of 45
  • Cancer Research 74
  • Oncology 107
  • Neurology 24
  • Epidemiology 43
  • Pulmonary and Respiratory Medicine 39
Replace Tommaso Porcelli with:
Tommaso Porcelli Italy
Angela Bowman United Kingdom
Ángel Castaño Spain
Chul Jang Kim Japan
Chan Seok Yoon South Korea
RJ Prescott United Kingdom
Yasuteru Fujino Japan
Susanne Rondot Germany
Célia Dupain France
D. Perroni relative to Tommaso Porcelli Italy Tommaso Porcelli's profile →
Citations per field
00.5×6.5×
Tommaso Porcelli · 1×
Citations per year

Countries citing papers authored by D. Perroni

Since Specialization
Citations

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

Fields of papers citing papers by D. Perroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 200952
2 200048
3 199645
4 197621
5
Prognostic factors in metastatic breast cancer patients obtaining objective response or disease stabilization after first-line chemotherapy with epirubicin. Evidence for a positive effect of maintenance hormonal therapy on overall survival.
199719
6 199614
7
Right ventricular metastasis from choriocarcinoma: report of a rare case and review of the literature.
199313
8 20079
9 20071
10 20091

About D. Perroni

D. Perroni is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Genetics and Cancer Research, having authored 10 papers that have together received 223 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (4 papers), Neuroendocrine Tumor Research Advances (2 papers), Breast Cancer Treatment Studies (2 papers), Estrogen and related hormone effects (1 paper), Lung Cancer Research Studies (1 paper), Genetic and rare skin diseases. (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper) and Cardiac tumors and thrombi (1 paper). The work is most often cited by research in Cancer Research (74 citations), Oncology (107 citations), Neurology (24 citations), Epidemiology (43 citations) and Pulmonary and Respiratory Medicine (39 citations). D. Perroni has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Luigi Dogliotti, Alfredo Berruti, Francesco Minuto, Giulio Giordano, Oriana Nanni, Angelo Gambi, Alberto Ravaioli, Alberto Bottini, M. Marangolo and Emanuela Scarpi. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Endocrinology, Breast Cancer Research and Treatment, BMC Cancer and Lung Cancer.

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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