Federico Corletto

1.1k total citations
50 papers, 699 citations indexed

About

Federico Corletto is a scholar working on Surgery, Small Animals and Anesthesiology and Pain Medicine. According to data from OpenAlex, Federico Corletto has authored 50 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Surgery, 31 papers in Small Animals and 14 papers in Anesthesiology and Pain Medicine. Recurrent topics in Federico Corletto's work include Veterinary Pharmacology and Anesthesia (30 papers), Anesthesia and Pain Management (27 papers) and Veterinary Equine Medical Research (11 papers). Federico Corletto is often cited by papers focused on Veterinary Pharmacology and Anesthesia (30 papers), Anesthesia and Pain Management (27 papers) and Veterinary Equine Medical Research (11 papers). Federico Corletto collaborates with scholars based in United Kingdom, United States and Italy. Federico Corletto's co-authors include Enzo Vettorato, J.C. Brearley, Elizabeth A Leece, Louise Clark, Ian M. Wright, Simon R. Platt, Angela Briganti, Laurent Garosi, Rachel Bennett and Diego A. Portela and has published in prestigious journals such as PLoS ONE, Electroencephalography and Clinical Neurophysiology and Journal of the American Veterinary Medical Association.

In The Last Decade

Federico Corletto

49 papers receiving 626 citations

Peers

Federico Corletto
Comparison fields: 5 of 72
  • Small Animals 411
  • Surgery 386
  • Equine 208
  • Anesthesiology and Pain Medicine 117
  • Pathology and Forensic Medicine 62
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Citations per field, relative to Federico Corletto
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Citations per year, relative to Federico Corletto
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Countries citing papers authored by Federico Corletto

Since Specialization
Citations

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

Fields of papers citing papers by Federico Corletto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Corletto

This figure shows the co-authorship network connecting the top 25 collaborators of Federico Corletto. A scholar is included among the top collaborators of Federico Corletto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Federico Corletto. Federico Corletto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 0
4 31
5 8
6 3
7 25
8 6
9 17
10 40
11 42
12 16
13 57
14 20
15 40
16 20
17 14
18 2
19 37
20
Female climacteric osteoporosis therapy with titrated horsetail (Equisetum arvense) extract plus calcium (osteosil calcium) : randomized double blind study
7

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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