Veronica Codoni

10 papers receiving 1.8k citations

Veronica Codoni's Hit Papers

Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes 2018 · 1.2k citations
1.2k0+2+5Years since publication2505007501000

Peers

Veronica Codoni
Comparison fields: 5 of 100
  • Genetics 606
  • Neurology 78
  • Cancer Research 123
  • Neurology 124
  • Cardiology and Cardiovascular Medicine 172
Replace Jaume Roquer with:
Jaume Roquer United Kingdom
Silvana Pileggi Italy
Mariana Bustamante United Kingdom
Henry Völzke United States
Erik Lorentzen Sweden
Rainer Malik United States
E. Shyong Tai United Kingdom
Leema Reddy Peddareddygari United States
Andreea Ilinca Sweden
Tatjana Rundek United States
Veronica Codoni relative to Jaume Roquer United Kingdom Jaume Roquer's profile →
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Citations per year

Countries citing papers authored by Veronica Codoni

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Codoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes
Hit paper breakdown →
20181188
2 2018180
3 2018119
4 201585
5 201767
6 201857
7 202139
8 201634
9 201620
10 201612

About Veronica Codoni

Veronica Codoni is a scholar working on Genetics, Cancer Research, Molecular Biology, Hematology and Cardiology and Cardiovascular Medicine, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (2 papers), Cancer-related molecular mechanisms research (2 papers), Acute Myeloid Leukemia Research (1 paper), Sphingolipid Metabolism and Signaling (1 paper), Adipose Tissue and Metabolism (1 paper), Cardiovascular Disease and Adiposity (1 paper) and Lipid metabolism and disorders (1 paper). The work is most often cited by research in Genetics (606 citations), Neurology (78 citations), Cancer Research (123 citations), Neurology (124 citations) and Cardiology and Cardiovascular Medicine (172 citations). Veronica Codoni has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include David‐Alexandre Trégouët, Aldons Jake Lusis, Maria Paola Martelli, Andrea Marra, Enrico Tiacci, Stefano Ascani, Carole Proust, Alessandra Venanzi, Giovanni Martino and Gianluca Schiavoni. Their work appears in journals such as Genetics in Medicine, Nature Genetics, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, New England Journal of Medicine and Cardiovascular Research.

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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