Sara Basso Moro

14 total papers · 559 total citations
12 papers, 412 citations indexed

About

Sara Basso Moro is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Pharmacology. According to data from OpenAlex, Sara Basso Moro has authored 12 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cognitive Neuroscience and 4 papers in Pharmacology. Recurrent topics in Sara Basso Moro's work include Optical Imaging and Spectroscopy Techniques (8 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Cognitive and developmental aspects of mathematical skills (4 papers). Sara Basso Moro is often cited by papers focused on Optical Imaging and Spectroscopy Techniques (8 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Cognitive and developmental aspects of mathematical skills (4 papers). Sara Basso Moro collaborates with scholars based in Italy, United States and United Kingdom. Sara Basso Moro's co-authors include Simone Cutini, Silvia Bisconti, Marco Ferrari, Valentina Quaresima, Matteo Spezialetti, Giuseppe Placidi, Makii Muthalib, Sabrina Brigadoi, Pietro Scatturin and Marco Zorzi and has published in prestigious journals such as NeuroImage, Psychophysiology and Psychonomic Bulletin & Review.

In The Last Decade

Sara Basso Moro

12 papers receiving 407 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 Basso Moro 189 178 116 54 53 12 412
Xuetong Zhai 204 1.1× 251 1.4× 161 1.4× 10 0.2× 5 0.1× 12 441
Pengxu Wei 223 1.2× 49 0.3× 50 0.4× 25 0.5× 4 0.1× 16 430
Dorte Phillip 155 0.8× 294 1.7× 194 1.7× 11 0.2× 3 0.1× 8 429
Colleen A. Lewis 229 1.2× 6 0.0× 76 0.7× 55 1.0× 66 1.2× 9 495
Francesco Neri 257 1.4× 52 0.3× 41 0.4× 16 0.3× 3 0.1× 24 439
Katsunori Matsuoka 115 0.6× 9 0.1× 106 0.9× 30 0.6× 6 0.1× 30 469
Xiang Xiao 208 1.1× 122 0.7× 55 0.5× 108 2.0× 1 0.0× 23 409
Jeffrey W. Barker 160 0.8× 235 1.3× 143 1.2× 12 0.2× 3 0.1× 8 403
Jürgen Kurzmann 255 1.3× 121 0.7× 85 0.7× 22 0.4× 5 407
Elisabeth Kaminski 188 1.0× 44 0.2× 114 1.0× 74 1.4× 21 384

Countries citing papers authored by Sara Basso Moro

Since Specialization
Citations

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

Fields of papers citing papers by Sara Basso Moro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Basso Moro

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Basso Moro. A scholar is included among the top collaborators of Sara Basso Moro 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 Basso Moro. Sara Basso Moro 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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