Laura Ravasi

1.7k citations
31 papers · 796 indexed · h-index 16
Topics
Medical Imaging Techniques and Applications (7 papers)Neuroscience and Neuropharmacology Research (5 papers)Advanced MRI Techniques and Applications (4 papers)
Partner nations
FranceItalyUnited States

In The Last Decade

Laura Ravasi

31 papers receiving 784 citations

Peers

Laura Ravasi
Comparison fields: 5 of 101
  • Molecular Biology 224
  • Radiology, Nuclear Medicine and Imaging 203
  • Cognitive Neuroscience 120
  • Cellular and Molecular Neuroscience 106
  • Neurology 85
Replace Yanming Wang with:
Yanming Wang United States
Isabelle Miederer Germany
Daniele Bertoglio Belgium
Daniel P. Bradley United States
Jos Eersels Netherlands
Douglass Vines Canada
Xiaotian T. Fang Sweden
Guillaume Becker Belgium
Filip Dumont Belgium
Qiang Wei China
Laura Ravasi relative to Yanming Wang United States Yanming Wang's profile →
Citations per field
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Yanming Wang · 1×
Citations per year

Countries citing papers authored by Laura Ravasi

Since Specialization
Citations

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

Fields of papers citing papers by Laura Ravasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Ravasi

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Ravasi. A scholar is included among the top collaborators of Laura Ravasi 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 Laura Ravasi. Laura Ravasi 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
1 4
2 71
3 6
4 77
5 45
6 9
7 7
8 104
9 9
10 7
11 11
12 11
13 35
14 29
15 15
16 60
17 8
18 17
19 39
20 46

About Laura Ravasi

Laura Ravasi is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 31 papers that have together received 796 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (7 papers), Neuroscience and Neuropharmacology Research (5 papers) and Advanced MRI Techniques and Applications (4 papers). The work is most often cited by research in Biological Psychiatry (28 citations), Radiology, Nuclear Medicine and Imaging (203 citations) and Cognitive Neuroscience (120 citations). Laura Ravasi has collaborated with scholars based in France, Italy and United States. Frequent co-authors include William C. Eckelman, Kazuaki Shimoji, Louis Sokoloff, Kathleen Schmidt, Florence Pasquier, Elaine M. Jagoda, Jürgen Seidel, Xavier Delbeuck, Franck Semah and Raphaël Le Bouc. Their work appears in journals such as Journal of Clinical Oncology, NeuroImage and Brain.

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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