V. Labonia

532 citations
16 papers · 246 · h-index 8

Impact in

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

Papers in

    • Cancer Treatment and Pharmacology 8
    • Bone health and treatments 3
    • HER2/EGFR in Cancer Research 3
    • Neutropenia and Cancer Infections 3
    • Colorectal Cancer Treatments and Studies 1
    • Breast Cancer Treatment Studies 9

V. Labonia

16 papers receiving 240 citations

Peers

V. Labonia
Comparison fields: 5 of 49
  • Cancer Research 126
  • Oncology 169
  • Genetics 81
  • Reproductive Medicine 22
  • Pulmonary and Respiratory Medicine 47
Replace Chantal Perret with:
Chantal Perret Canada
Santiago González-Santiago Spain
Elizabeth Schackmann United States
Pedro Emanuel Rubini Liedke Brazil
John L. Hopper Australia
László Landherr Hungary
Elena Aguirre Spain
Þorvaldur Jónsson Iceland
Ashley Woodson United States
Rosaria Cesaraccio Italy
V. Labonia relative to Chantal Perret Canada Chantal Perret's profile →
Citations per field
00.5×12×
Chantal Perret · 1×
Citations per year

Countries citing papers authored by V. Labonia

Since Specialization
Citations

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

Fields of papers citing papers by V. Labonia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200963
2 200246
3 200736
4 200525
5 200621
6 200720
7 200210
8 201110
9 19985
10 19982
11
Evaluation of TAG-72 as a serum marker in ovarian and breast carcinoma.
19912
12 20112
13 20071
14 19981
15 19981
16 20091

About V. Labonia

V. Labonia is a scholar working on Oncology, Cancer Research, Genetics, Dermatology and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 246 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (9 papers), Cancer Treatment and Pharmacology (8 papers), Estrogen and related hormone effects (6 papers), Bone health and treatments (3 papers), Chemotherapy-related skin toxicity (3 papers), HER2/EGFR in Cancer Research (3 papers), Neutropenia and Cancer Infections (3 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Cancer Research (126 citations), Oncology (169 citations), Genetics (81 citations), Reproductive Medicine (22 citations) and Pulmonary and Respiratory Medicine (47 citations). V. Labonia has collaborated with scholars based in Italy and Malaysia. Frequent co-authors include Giuseppe D’Aiuto, A. De Matteis, Francesco Nuzzo, Emanuela Rossi, Ermelinda De Maio, Gabriella Landi, Gerardo Botti, Carmen Pacilio, Adriano Gravina and Ciro Gallo. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Cancer, Cancer, BMC Cancer 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.

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