A. Canu

1.7k citations
17 papers · 1.4k · h-index 12

Impact in

Papers in

A. Canu

17 papers receiving 1.3k citations

Peers

A. Canu
Comparison fields: 5 of 78
  • Cardiology and Cardiovascular Medicine 786
  • Molecular Medicine 183
  • Infectious Diseases 342
  • Endocrinology 72
  • Microbiology 71
Replace Florence Komurian-Pradel with:
Florence Komurian-Pradel France
Tetsuo Kase Japan
Mohammed I. Adah Nigeria
Hsiao-Chen Ning Taiwan
David L. MacLeod Canada
Michele Equestre Italy
Constantina Gartzonika Greece
Jing-Jou Yan Taiwan
Nicholas D. Sanderson United Kingdom
Éric Abachin France
A. Canu relative to Florence Komurian-Pradel France Florence Komurian-Pradel's profile →
Citations per field
00.5×4.9×
Florence Komurian-Pradel · 1×
Citations per year

Countries citing papers authored by A. Canu

Since Specialization
Citations

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

Fields of papers citing papers by A. Canu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1992388
2 1987265
3 2002190
4 2009154
5 1985117
6 200263
7 199251
8 199349
9 199143
10 200134
11 198820
12 200513
13 198711
14 200310
15 20097
16 20025
17 19881

About A. Canu

A. Canu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Epidemiology, Infectious Diseases and Molecular Medicine, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (9 papers), RNA and protein synthesis mechanisms (5 papers), Pneumonia and Respiratory Infections (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Antibiotic Resistance in Bacteria (4 papers), Cardiomyopathy and Myosin Studies (3 papers), Cardiovascular Effects of Exercise (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (786 citations), Molecular Medicine (183 citations), Infectious Diseases (342 citations), Endocrinology (72 citations) and Microbiology (71 citations). A. Canu has collaborated with scholars based in France, Germany and Belgium. Frequent co-authors include Reinhard Kandolf, Roland Leclercq, Philip Kirschner, G. Mall, Christine Hohenadl, Karin Klingel, Detlev Ameis, P. H. Hofschneider, P. H. Hofschneider and Brigitte Malbruny. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, European Heart Journal, Proceedings of the National Academy of Sciences, Journal of Molecular and Cellular Cardiology and Clinical Microbiology and Infection.

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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