Francesca Canalías

40 papers receiving 514 citations

Peers

Francesca Canalías
Comparison fields: 5 of 100
  • Equine 11
  • Small Animals 48
  • Endocrinology, Diabetes and Metabolism 67
  • Statistics, Probability and Uncertainty 29
  • Animal Science and Zoology 38
Replace J.-M. Lessinger with:
J.-M. Lessinger Germany
H. Talke Germany
Kumiko Makino Japan
N. Kristiansen Germany
Mathieu Peyrou Switzerland
C. A. Ferrero Italy
J. J. Aramayona Spain
A. Ellis United Kingdom
Wendell T. Caraway United States
D S Young United States
Francesca Canalías relative to J.-M. Lessinger Germany J.-M. Lessinger's profile →
Citations per field
00.5×11×
J.-M. Lessinger · 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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011104
2 199772
3 201958
4 199753
5 201827
6 202025
7 199518
8 200110
9 20209
10 20109
11 20099
12 19948
13 19968
14 19998
15 20008
16 20188
17 20147
18 20067
19 19987
20 20066

About Francesca Canalías

Francesca Canalías is a scholar working on Physiology, Surgery, Molecular Biology, Public Health, Environmental and Occupational Health and Small Animals, having authored 44 papers that have together received 526 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (10 papers), Animal health and immunology (4 papers), Streptococcal Infections and Treatments (3 papers), Muscle metabolism and nutrition (3 papers), Microfluidic and Capillary Electrophoresis Applications (3 papers), Enzyme Production and Characterization (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Equine (11 citations), Small Animals (48 citations), Endocrinology, Diabetes and Metabolism (67 citations), Statistics, Probability and Uncertainty (29 citations) and Animal Science and Zoology (38 citations). Francesca Canalías has collaborated with scholars based in Spain, France and Germany. Frequent co-authors include F.-Javier Gella, Yolanda Saco, Raül Rigo‐Bonnin, Anna Bassols, Raquel Pato, Ferruccio Ceriotti, Rainer Klauke, Paul Franck, G. Schumann 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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