Stefano Canosa

36 papers receiving 558 citations

Hit Papers

Opening the black box: why do euploid blastocysts fail to...202320262024202520231020304050

Peers

Stefano Canosa
Comparison fields: 5 of 67
  • Reproductive Medicine 367
  • Public Health, Environmental and Occupational Health 350
  • Pediatrics, Perinatology and Child Health 170
  • Immunology 118
  • Molecular Biology 103
Replace Kamthorn Pruksananonda with:
Kamthorn Pruksananonda Thailand
Isaac-Jacques Kadoch Canada
Bruno Engl Italy
Camille Sylvestre Canada
Helmy Selman Italy
Shouren Lin China
Helle Meinertz Denmark
Rikikazu Sugiyama Japan
Oshrit Lebovitz Israel
Rosaria Schillaci Italy
Stefano Canosa relative to Kamthorn Pruksananonda Thailand Kamthorn Pruksananonda's profile →
Citations per field
00.5×8.1×
Kamthorn Pruksananonda · 1×
Citations per year

Countries citing papers authored by Stefano Canosa

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Canosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefano Canosa

This figure shows the co-authorship network connecting the top 25 collaborators of Stefano Canosa. A scholar is included among the top collaborators of Stefano Canosa 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 Stefano Canosa. Stefano Canosa 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
#WorkIndexed citations
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Opening the black box: why do euploid blastocysts fail to implant? A systematic review and meta-analysisbreakdown →
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6 8
7 4
8 0
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10 3
11 6
12 3
13 19
14 65
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About Stefano Canosa

Stefano Canosa is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 38 papers that have together received 569 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (27 papers), Ovarian function and disorders (24 papers) and Assisted Reproductive Technology and Twin Pregnancy (11 papers). The work is most often cited by research in Reproductive Medicine (367 citations), Public Health, Environmental and Occupational Health (350 citations) and Pediatrics, Perinatology and Child Health (170 citations). Stefano Canosa has collaborated with scholars based in Italy, Netherlands and United States. Frequent co-authors include Alberto Revelli, Chiara Benedetto, Gianluca Gennarelli, Andrea Roberto Carosso, Paola Dalmasso, Loredana Bergandi, Claudia Filippini, Danilo Cimadomo, Laura Rienzi and Alberto Vaiarelli. Their work appears in journals such as International Journal of Molecular Sciences, Human Reproduction and Fertility and Sterility.

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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