Manuela La Grassa

18 total papers · 403 total citations
10 papers, 306 citations indexed

About

Manuela La Grassa is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Manuela La Grassa has authored 10 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cancer Research and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Manuela La Grassa's work include Medical Imaging Techniques and Applications (5 papers), Digital Radiography and Breast Imaging (4 papers) and Breast Lesions and Carcinomas (4 papers). Manuela La Grassa is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Digital Radiography and Breast Imaging (4 papers) and Breast Lesions and Carcinomas (4 papers). Manuela La Grassa collaborates with scholars based in Italy, United States and Switzerland. Manuela La Grassa's co-authors include C. Di Maggio, Gisella Gennaro, Pier Carlo Muzzio, Elisabetta Bezzon, Luigi Pescarini, Alicia Y. Toledano, R. Edward Hendrick, Fabio Pomerri, Thomas Frauenfelder and Nicole Berger and has published in prestigious journals such as European Radiology, La radiologia medica and Tumori Journal.

In The Last Decade

Manuela La Grassa

8 papers receiving 296 citations

Author Peers

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

Author Last Decade Papers Cites
Manuela La Grassa 250 215 181 72 46 10 306
Clare Peacock 155 0.6× 133 0.6× 123 0.7× 35 0.5× 46 1.0× 12 221
Rema Wasan 152 0.6× 127 0.6× 139 0.8× 30 0.4× 43 0.9× 11 248
Bjørn Helge Østerås 250 1.0× 200 0.9× 228 1.3× 67 0.9× 107 2.3× 14 355
Carrie M. Rochman 146 0.6× 125 0.6× 120 0.7× 29 0.4× 68 1.5× 14 250
Rita Vacondio 168 0.7× 142 0.7× 115 0.6× 20 0.3× 78 1.7× 11 258
Veronica Magni 120 0.5× 132 0.6× 74 0.4× 24 0.3× 60 1.3× 12 242
Mia Skarpathiotakis 246 1.0× 246 1.1× 97 0.5× 126 1.8× 35 0.8× 9 326
Valentina Iotti 180 0.7× 178 0.8× 114 0.6× 28 0.4× 114 2.5× 16 359
Donna D’Alessio 184 0.7× 196 0.9× 86 0.5× 40 0.6× 63 1.4× 16 317
C. Balleyguier 213 0.9× 134 0.6× 57 0.3× 63 0.9× 37 0.8× 16 339

Countries citing papers authored by Manuela La Grassa

Since Specialization
Citations

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

Fields of papers citing papers by Manuela La Grassa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuela La Grassa

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