Emanuele La Corte

78 total papers · 1.3k total citations
42 papers, 756 citations indexed

About

Emanuele La Corte is a scholar working on Surgery, Epidemiology and Genetics. According to data from OpenAlex, Emanuele La Corte has authored 42 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 14 papers in Epidemiology and 12 papers in Genetics. Recurrent topics in Emanuele La Corte's work include Meningioma and schwannoma management (14 papers), Glioma Diagnosis and Treatment (12 papers) and Cerebrospinal fluid and hydrocephalus (11 papers). Emanuele La Corte is often cited by papers focused on Meningioma and schwannoma management (14 papers), Glioma Diagnosis and Treatment (12 papers) and Cerebrospinal fluid and hydrocephalus (11 papers). Emanuele La Corte collaborates with scholars based in Italy, United States and Colombia. Emanuele La Corte's co-authors include Paolo Ferroli, Morgan Broggi, Francesco Acerbi, Marco Schiariti, Philipp R. Aldana, Giovanni Broggi, Bianca Pollo, Sergio Visintini, Theodore H. Schwartz and Carlo Boffano and has published in prestigious journals such as Clinical Cancer Research, International Journal of Molecular Sciences and Journal of neurosurgery.

In The Last Decade

Emanuele La Corte

38 papers receiving 737 citations

Author Peers

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

Author Last Decade Papers Cites
Emanuele La Corte 312 310 265 158 150 42 756
Jennifer Moliterno 319 1.0× 227 0.7× 224 0.8× 169 1.1× 92 0.6× 59 864
Ali-Reza Fathi 279 0.9× 288 0.9× 250 0.9× 398 2.5× 157 1.0× 43 876
Tae Hoon Roh 290 0.9× 229 0.7× 260 1.0× 94 0.6× 73 0.5× 56 762
Alexander F. Haddad 225 0.7× 143 0.5× 253 1.0× 89 0.6× 116 0.8× 71 782
Yun‐Sik Dho 263 0.8× 220 0.7× 176 0.7× 122 0.8× 65 0.4× 45 681
Courtney Pendleton 225 0.7× 199 0.6× 283 1.1× 213 1.3× 49 0.3× 78 820
Ch. Matula 133 0.4× 280 0.9× 394 1.5× 232 1.5× 66 0.4× 34 789
Francesco M. Salpietro 163 0.5× 265 0.9× 134 0.5× 378 2.4× 84 0.6× 37 900
Stephanie Schipmann 213 0.7× 231 0.7× 235 0.9× 192 1.2× 208 1.4× 61 751
Patra Charalampaki 157 0.5× 230 0.7× 310 1.2× 148 0.9× 164 1.1× 37 861

Countries citing papers authored by Emanuele La Corte

Since Specialization
Citations

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

Fields of papers citing papers by Emanuele La Corte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emanuele La Corte. 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 Emanuele La Corte. The network helps show where Emanuele La Corte may publish in the future.

Co-authorship network of co-authors of Emanuele La Corte

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuele La Corte. A scholar is included among the top collaborators of Emanuele La Corte 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 Emanuele La Corte. Emanuele La Corte 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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