Sara Di Persio

45 total papers · 892 total citations
20 papers, 513 citations indexed

About

Sara Di Persio is a scholar working on Molecular Biology, Reproductive Medicine and Genetics. According to data from OpenAlex, Sara Di Persio has authored 20 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Reproductive Medicine and 8 papers in Genetics. Recurrent topics in Sara Di Persio's work include Sperm and Testicular Function (13 papers), Reproductive Biology and Fertility (6 papers) and Renal and related cancers (6 papers). Sara Di Persio is often cited by papers focused on Sperm and Testicular Function (13 papers), Reproductive Biology and Fertility (6 papers) and Renal and related cancers (6 papers). Sara Di Persio collaborates with scholars based in Germany, Italy and Netherlands. Sara Di Persio's co-authors include Nina Neuhaus, Elena Vicini, Carla Boitani, Sabine Kliesch, Sandra Laurentino, Claudio Sette, Ariane Jolly, Pierre de la Grange, Chiara Naro and Niclas Setterblad and has published in prestigious journals such as Development, The FASEB Journal and Developmental Cell.

In The Last Decade

Sara Di Persio

19 papers receiving 509 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sara Di Persio 330 243 150 146 48 20 513
Chongyang Wu 313 0.9× 171 0.7× 139 0.9× 97 0.7× 79 1.6× 26 554
Roseanne Rosario 230 0.7× 203 0.8× 213 1.4× 128 0.9× 56 1.2× 25 475
Gurpreet Manku 182 0.6× 218 0.9× 132 0.9× 142 1.0× 33 0.7× 16 460
Margot J. Wyrwoll 230 0.7× 222 0.9× 143 1.0× 197 1.3× 21 0.4× 22 447
Sarah K. Munyoki 300 0.9× 185 0.8× 133 0.9× 106 0.7× 33 0.7× 12 467
Jingmei Hou 284 0.9× 343 1.4× 232 1.5× 158 1.1× 119 2.5× 14 578
Gina La Sala 365 1.1× 95 0.4× 134 0.9× 181 1.2× 28 0.6× 29 576
Elizabeth M. Snyder 350 1.1× 278 1.1× 219 1.5× 200 1.4× 69 1.4× 23 550
Miguel J. Xavier 266 0.8× 228 0.9× 184 1.2× 173 1.2× 36 0.8× 15 571
Acacia A. Alcivar 387 1.2× 200 0.8× 153 1.0× 213 1.5× 21 0.4× 20 571

Countries citing papers authored by Sara Di Persio

Since Specialization
Citations

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

Fields of papers citing papers by Sara Di Persio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara Di Persio. 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 Sara Di Persio. The network helps show where Sara Di Persio may publish in the future.

Co-authorship network of co-authors of Sara Di Persio

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Di Persio. A scholar is included among the top collaborators of Sara Di Persio 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 Sara Di Persio. Sara Di Persio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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