V. Galimberti

580 citations
22 papers · 359 · h-index 7

Impact in

Papers in

    • Breast Cancer Treatment Studies 17
    • Cancer Genomics and Diagnostics 1
    • Breast Implant and Reconstruction 6

V. Galimberti

20 papers receiving 334 citations

Peers

V. Galimberti
Comparison fields: 5 of 45
  • Cancer Research 218
  • Pathology and Forensic Medicine 187
  • Dermatology 69
  • Surgery 202
  • Medical Terminology 1
Replace Hung-Wen Lai with:
Hung-Wen Lai Taiwan
Rafael Fábregas Spain
Giuliano Scalco Italy
Monia Hechiche Tunisia
Kong Wee Ong Singapore
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Remmert K. Storm Netherlands
Jamie L. Covell United States
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Citations per field
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Citations per year

Countries citing papers authored by V. Galimberti

Since Specialization
Citations

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

Fields of papers citing papers by V. Galimberti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A randomized comparison of sentinel-node biopsy with routine axillary dissection in breast cancer
2004138
2 199289
3 199830
4 200927
5 199923
6
Percutaneous transthoracic needle aspiration biopsy: a case report of implantation metastasis.
198917
7 20078
8 19975
9 20014
10 20253
11 19943
12 19972
13 20092
14 20092
15 19931
16 19971
17 19921
18 20151
19 20091
20 20181

About V. Galimberti

V. Galimberti is a scholar working on Cancer Research, Surgery, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 22 papers that have together received 359 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (17 papers), Breast Lesions and Carcinomas (7 papers), Breast Implant and Reconstruction (6 papers), Cancer Diagnosis and Treatment (3 papers), Advanced Breast Cancer Therapies (3 papers), Cancer and Skin Lesions (2 papers), CNS Lymphoma Diagnosis and Treatment (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (218 citations), Pathology and Forensic Medicine (187 citations), Dermatology (69 citations), Surgery (202 citations) and Medical Terminology (1 citation). V. Galimberti has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Stefano Zurrida, Paolo Veronesi, Alberto Luini, Umberto Veronesi, Alfonso M. Pluchinotta, A. Bono, Mattia Intra, Giovanni Paganelli, Concetta De Cicco and Giulia Viale. Their work appears in journals such as European Journal of Cancer, The Breast, Annals of Oncology, Cancer and Radiotherapy 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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