L. Cannella

475 citations
26 papers · 286 · h-index 9

Impact in

    • Ovarian cancer diagnosis and treatment
    • Colorectal Cancer Surgical Treatments
    • Colorectal Cancer Treatments and Studies

Papers in

L. Cannella

24 papers receiving 283 citations

Peers

L. Cannella
Comparison fields: 5 of 49
  • Reproductive Medicine 47
  • Oncology 112
  • Cancer Research 37
  • Pulmonary and Respiratory Medicine 53
  • Pathology and Forensic Medicine 24
Replace Laura Matteucci with:
Laura Matteucci Italy
Valentina Gallá Italy
Christina Kaiser Germany
Cláudia Casanova Italy
Stephanie Morrissey United States
Xiaoyi Duan China
Angeles A. Alvarez United States
Yvonne Ang Singapore
Mojca Persic United Kingdom
L. Cannella relative to Laura Matteucci Italy Laura Matteucci's profile →
Citations per field
00.5×10×16×
Laura Matteucci · 1×
Citations per year

Countries citing papers authored by L. Cannella

Since Specialization
Citations

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

Fields of papers citing papers by L. Cannella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201171
2 200946
3 201131
4 202127
5 201021
6 202016
7 202116
8 20119
9 20138
10 20217
11 20246
12 20223
13 20243
14 20233
15 20173
16 20103
17 20232
18
Predictive factors of response to neoadjuvant chemoradiotherapy in rectal cancer patirnts.
20082
19 20102
20 20082

About L. Cannella

L. Cannella is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Molecular Biology and Reproductive Medicine, having authored 26 papers that have together received 286 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (8 papers), Ovarian cancer diagnosis and treatment (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Colorectal Cancer Surgical Treatments (3 papers), Vascular Tumors and Angiosarcomas (3 papers), Cardiac tumors and thrombi (2 papers), Colorectal and Anal Carcinomas (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Reproductive Medicine (47 citations), Oncology (112 citations), Cancer Research (37 citations), Pulmonary and Respiratory Medicine (53 citations) and Pathology and Forensic Medicine (24 citations). L. Cannella has collaborated with scholars based in Italy, Malaysia and Brazil. Frequent co-authors include Carmela Pisano, Sandro Pignata, Gaetano Facchini, G. Bruni, Stefano Pepe, Alfonso De Stefano, Chiara Carlomagno, Sabino De Placido, Francesco Paolo D’Armiento and Maria DʼArmiento. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Cells, Journal of Translational Medicine and 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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