V. Labonia

535 citations
16 papers · 258 · h-index 8

Impact in

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

Papers in

    • Cancer Treatment and Pharmacology 7
    • Bone health and treatments 2
    • Neutropenia and Cancer Infections 2
    • HER2/EGFR in Cancer Research 2
    • Breast Cancer Treatment Studies 7

V. Labonia

16 papers receiving 250 citations

Peers

V. Labonia
Comparison fields: 5 of 41
  • Cancer Research 103
  • Oncology 121
  • Genetics 64
  • Reproductive Medicine 15
  • Family Practice 2
Replace Gabriella Landi with:
Gabriella Landi Italy
John L. Hopper Australia
Eleni Kakouri Cyprus
Þorvaldur Jónsson Iceland
Julie Erlichman United States
Bernadette A. M. Heemskerk‐Gerritsen Netherlands
Santiago González-Santiago Spain
Boer Shan China
Rosaria Cesaraccio Italy
Jarosław Dębniak Poland
V. Labonia relative to Gabriella Landi Italy Gabriella Landi's profile →
Citations per field
00.5×1.5×
Gabriella Landi · 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 200969
2 200249
3 200736
4 200525
5 200623
6 200720
7 200210
8 201110
9 19985
10 19983
11 20112
12
Evaluation of TAG-72 as a serum marker in ovarian and breast carcinoma.
19912
13 20091
14 19981
15 19981
16 20071

About V. Labonia

V. Labonia is a scholar working on Oncology, Cancer Research, Genetics, Molecular Biology and Dermatology, having authored 16 papers that have together received 258 indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (7 papers), Breast Cancer Treatment Studies (7 papers), Estrogen and related hormone effects (6 papers), Chemotherapy-related skin toxicity (2 papers), Bone health and treatments (2 papers), Neutropenia and Cancer Infections (2 papers), HER2/EGFR in Cancer Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (103 citations), Oncology (121 citations), Genetics (64 citations), Reproductive Medicine (15 citations) and Family Practice (2 citations). V. Labonia has collaborated with scholars based in Italy and Malaysia. Frequent co-authors include A. De Matteis, Francesco Nuzzo, Giuseppe D’Aiuto, Ermelinda De Maio, Emanuela Rossi, Gabriella Landi, Gerardo Botti, Adriano Gravina, Carmen Pacilio and Francesco Perrone. Their work appears in journals such as European Journal of Cancer, Journal of Clinical Oncology, Cancer, BMC Cancer and Critical Reviews in Oncology/Hematology.

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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