V. Lubrano

2.0k citations
59 papers · 1.2k · h-index 19

Impact in

Papers in

V. Lubrano

55 papers receiving 1.2k citations

Peers

V. Lubrano
Comparison fields: 5 of 104
  • Genetics 311
  • Cognitive Neuroscience 249
  • Radiology, Nuclear Medicine and Imaging 206
  • Developmental and Educational Psychology 107
  • Cancer Research 107
Replace M Trémoulet with:
M Trémoulet France
Josep M. Martí‐Climent Spain
A. Tosoni Italy
Chenxing Wu China
Christophe Nioche France
James B. Brewer United States
Federico Pessina Italy
Fabien Almairac France
Seok-Ki Kim South Korea
Hendrikus G. J. Krouwer United States
V. Lubrano relative to M Trémoulet France M Trémoulet's profile →
Citations per field
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M Trémoulet · 1×
Citations per year

Countries citing papers authored by V. Lubrano

Since Specialization
Citations

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

Fields of papers citing papers by V. Lubrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside V. Lubrano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with V. Lubrano Line = papers co-authored together V. Lubrano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013199
2 2014130
3 200482
4 201780
5 200767
6 201061
7 201248
8 201346
9 200845
10 201441
11 201736
12 201833
13 200827
14 200723
15 200621
16 201321
17 200921
18 201719
19 201119
20 201217

About V. Lubrano

V. Lubrano is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Aerospace Engineering and Molecular Biology, having authored 59 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (15 papers), Neurobiology of Language and Bilingualism (6 papers), Advanced MRI Techniques and Applications (6 papers), Structural Analysis and Optimization (4 papers), Medical Imaging Techniques and Applications (3 papers), Spacecraft Design and Technology (3 papers), Language Development and Disorders (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Genetics (311 citations), Cognitive Neuroscience (249 citations), Radiology, Nuclear Medicine and Imaging (206 citations), Developmental and Educational Psychology (107 citations) and Cancer Research (107 citations). V. Lubrano has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Franck–Emmanuel Roux, Jean‐François Démonet, Thomas Filleron, Carlo Giussani, Jean-Albert Lotterie, Christine Toulas, S. Ken, I. Berry, Anne Laprie and Louisa Draper. Their work appears in journals such as Radiotherapy and Oncology, Acta Neurochirurgica, Journal of neurosurgery, Oncotarget and Radiation Oncology.

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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