A Luisi

521 citations
10 papers · 434 · h-index 8

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways
    • Cancer Cells and Metastasis

Papers in

    • HER2/EGFR in Cancer Research 4
    • Cancer-related Molecular Pathways 3
    • Cancer Treatment and Pharmacology 2
    • Breast Cancer Treatment Studies 7
    • Cancer Genomics and Diagnostics 2

A Luisi

10 papers receiving 420 citations

Peers

A Luisi
Comparison fields: 5 of 49
  • Cancer Research 256
  • Oncology 285
  • Pathology and Forensic Medicine 109
  • Genetics 72
  • Molecular Biology 144
Replace Sufeng Mao with:
Sufeng Mao United States
Wenjing Zhou Sweden
Balvinder Shoker United Kingdom
J.C. Titley United Kingdom
Mervi Laakso Finland
Qi-Xia Han China
S. Oriana Italy
D. Voduc Canada
Karin Rennstam Sweden
Tomohiko Harada Japan
A Luisi relative to Sufeng Mao United States Sufeng Mao's profile →
Citations per field
00.5×1.5×
Sufeng Mao · 1×
Citations per year

Countries citing papers authored by A Luisi

Since Specialization
Citations

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

Fields of papers citing papers by A Luisi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 199592
2 199788
3 199968
4 199748
5 199343
6 199539
7 200032
8 200016
9 19986
10 19952

About A Luisi

A Luisi is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Genetics and Molecular Biology, having authored 10 papers that have together received 434 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), HER2/EGFR in Cancer Research (4 papers), Estrogen and related hormone effects (3 papers), Cancer-related Molecular Pathways (3 papers), Breast Lesions and Carcinomas (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Treatment and Pharmacology (2 papers) and Genomics, phytochemicals, and oxidative stress (1 paper). The work is most often cited by research in Cancer Research (256 citations), Oncology (285 citations), Pathology and Forensic Medicine (109 citations), Genetics (72 citations) and Molecular Biology (144 citations). A Luisi has collaborated with scholars based in Italy. Frequent co-authors include Rosella Silvestrini, Maria Grazia Daidone, Silvia Veneroni, Elvira Benini, Umberto Veronesi, B Salvadori, Monica Leutner, G. Di Fronzo, Patrizia Boracchi and Salvatore Andreola. Their work appears in journals such as International Journal of Cancer, Journal of Clinical Oncology, British Journal of Cancer, JNCI Journal of the National Cancer Institute and Cytometry.

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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