Francesca Canalías

42 papers receiving 508 citations

Peers

Francesca Canalías
Comparison fields: 5 of 107
  • Equine 12
  • Small Animals 51
  • Statistics, Probability and Uncertainty 37
  • Endocrinology, Diabetes and Metabolism 79
  • Animal Science and Zoology 42
Replace N. Kristiansen with:
N. Kristiansen Germany
J.-M. Lessinger Germany
Mathieu Peyrou Switzerland
H. Talke Germany
D F Shuey United States
Kumiko Makino Japan
R N Rand France
A. Ellis United Kingdom
J. J. Aramayona Spain
Wendell T. Caraway United States
Francesca Canalías relative to N. Kristiansen Germany N. Kristiansen's profile →
Citations per field
00.5×
N. Kristiansen · 1×
Citations per year

Countries citing papers authored by Francesca Canalías

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Canalías

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011101
2 199772
3 201954
4 199753
5 201827
6 202025
7 199518
8 200110
9 20099
10 20109
11 20209
12 20188
13 19998
14 20008
15 19968
16 19948
17 19987
18 20067
19 20147
20 20066

About Francesca Canalías

Francesca Canalías is a scholar working on Physiology, Surgery, Pharmacology, Public Health, Environmental and Occupational Health and Small Animals, having authored 49 papers that have together received 522 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (16 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Streptococcal Infections and Treatments (5 papers), Animal health and immunology (5 papers), Analytical Methods in Pharmaceuticals (4 papers), Hemodynamic Monitoring and Therapy (4 papers), Pesticide Residue Analysis and Safety (4 papers) and Pancreatitis Pathology and Treatment (3 papers). The work is most often cited by research in Equine (12 citations), Small Animals (51 citations), Statistics, Probability and Uncertainty (37 citations), Endocrinology, Diabetes and Metabolism (79 citations) and Animal Science and Zoology (42 citations). Francesca Canalías has collaborated with scholars based in Spain, France and Netherlands. Frequent co-authors include F.-Javier Gella, Raül Rigo‐Bonnin, Yolanda Saco, Anna Bassols, Ferruccio Ceriotti, G. Schumann, Mauro Panteghini, Raquel Pato, Paul Franck and Poul J. Jørgensen. Their work appears in journals such as Clinica Chimica Acta, Clinical Chemistry and Laboratory Medicine (CCLM), Clinical Biochemistry, Clinical Chemistry and Veterinary Clinical Pathology.

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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