D Cecchetti

19 papers receiving 590 citations

Peers

D Cecchetti
Comparison fields: 5 of 79
  • Cancer Research 131
  • Oncology 233
  • Endocrinology, Diabetes and Metabolism 134
  • Reproductive Medicine 40
  • Rehabilitation 32
Replace Matthew D. Schroeder with:
Matthew D. Schroeder United States
Katrina L. Watson Canada
Arnaud Latil France
Sooyeon Lee Germany
Gillian I. Bell Canada
D L Goad United States
Katsumi Yamamori Japan
Sigrun Ressler Austria
Y. Koshizuka Japan
Carlotta Tacconi Switzerland
D Cecchetti relative to Matthew D. Schroeder United States Matthew D. Schroeder's profile →
Citations per field
00.5×4.6×
Matthew D. Schroeder · 1×
Citations per year

Countries citing papers authored by D Cecchetti

Since Specialization
Citations

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

Fields of papers citing papers by D Cecchetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1996120
2 200397
3
p53 mutations and histological type of invasive breast carcinoma.
199386
4 200148
5 199947
6 200445
7 200828
8
Vascular endothelial growth factor (VEGF) expression in primary tumors and peritoneal metastases from patients with advanced ovarian carcinoma.
200327
9 200526
10
Intratumoral microvessel density, response to chemotherapy and clinical outcome of patients with advanced ovarian carcinoma.
200323
11 199916
12 200312
13 19989
14 19937
15 20225
16 19934
17 19953
18
[Myopericytoma-type perivascular myoma located in the soft tissue of the foot: a case report and review of the literature].
20052
19
Relationship between five years survival and age at diagnosis in breast cancer: multivariate analysis.
19951

About D Cecchetti

D Cecchetti is a scholar working on Biological Psychiatry, Cancer Research, Oncology, Neurology and Reproductive Medicine, having authored 19 papers that have together received 606 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (5 papers), HER2/EGFR in Cancer Research (4 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Cancer, Lipids, and Metabolism (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Soft tissue tumor case studies (1 paper). The work is most often cited by research in Cancer Research (131 citations), Oncology (233 citations), Endocrinology, Diabetes and Metabolism (134 citations), Reproductive Medicine (40 citations) and Rehabilitation (32 citations). D Cecchetti has collaborated with scholars based in Italy, United States and Pakistan. Frequent co-authors include Daniela Campani, Ferdinando De Negri, Carlotta Giani, Paola Fierabracci, Paolo Viacava, R Bonacci, E. Martino, Aldo Pinchera, Sandra Papini and Jean‐Charles Grivel. Their work appears in journals such as Annals of the New York Academy of Sciences, International Journal of Oncology, The Journal of Clinical Endocrinology & Metabolism, Bioscience Reports and British Journal of 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026