Luca Vecchia

486 citations
13 papers · 250 · h-index 8

Impact in

    • Wnt/β-catenin signaling in development and cancer
    • Cancer-related gene regulation
    • Glycosylation and Glycoproteins Research
    • Proteoglycans and glycosaminoglycans research

Papers in

    • Wnt/β-catenin signaling in development and cancer 3
    • Cancer-related gene regulation 2
    • Cholinesterase and Neurodegenerative Diseases 2

Luca Vecchia

11 papers receiving 245 citations

Peers

Luca Vecchia
Comparison fields: 5 of 75
  • Molecular Biology 148
  • Cell Biology 33
  • Pharmacology 22
  • Biomaterials 16
  • Aging 2
Replace Yongli Gu with:
Yongli Gu United States
Daniel Da Costa Pereira Netherlands
Jixian Xiong China
Martha G. Bomar United States
Ying Geng China
Vishruti Makani United States
Deepika Jaiman India
Ainslie Whiting Australia
Ali Naji United States
Brigitte Benhamou France
Luca Vecchia relative to Yongli Gu United States Yongli Gu's profile →
Citations per field
00.5×1.5×
Yongli Gu · 1×
Citations per year

Countries citing papers authored by Luca Vecchia

Since Specialization
Citations

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

Fields of papers citing papers by Luca Vecchia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 202089
2 201152
3 202022
4 201922
5 202017
6 202015
7 201112
8 20247
9 20157
10 20136
11 20101
12 20140
13 20100

About Luca Vecchia

Luca Vecchia is a scholar working on Molecular Biology, Pharmacology, Social Psychology, Clinical Psychology and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 250 indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (3 papers), Schizophrenia research and treatment (2 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), Cancer-related gene regulation (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (148 citations), Cell Biology (33 citations), Pharmacology (22 citations), Biomaterials (16 citations) and Aging (2 citations). Luca Vecchia has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Claudia Scotti, E. Yvonne Jones, Jean‐Paul Vincent, Ian J. McGough, Karen Beckett, Dhira Joshi, Christian Siebold, Tomas Malinauskas, B. Bishop and Nicola O’Reilly. Their work appears in journals such as Journal of Medicinal Chemistry, Epidemiology and Psychiatric Sciences, Mini-Reviews in Medicinal Chemistry, Agronomy and Nature.

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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