V. Lubrano

2.0k citations
56 papers · 1.1k · h-index 18

Impact in

Papers in

V. Lubrano

52 papers receiving 1.1k citations

Peers

V. Lubrano
Comparison fields: 5 of 100
  • Genetics 292
  • Cognitive Neuroscience 228
  • Radiology, Nuclear Medicine and Imaging 187
  • Cancer Research 105
  • Developmental and Educational Psychology 93
Replace M Trémoulet with:
M Trémoulet France
Josep M. Martí‐Climent Spain
Chenxing Wu China
Christophe Nioche France
Nikdokht Farid United States
Federico Pessina Italy
Fabien Almairac France
Hendrikus G. J. Krouwer United States
Bob L. Hou United States
Jan Boström Germany
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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013189
2 2014127
3 201779
4 200470
5 200759
6 201057
7 201345
8 200845
9 201243
10 201440
11 201735
12 201833
13 200827
14 200722
15 201320
16 201719
17 200919
18 200617
19 201117
20 201116

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 56 papers that have together received 1.1k 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 Modular Robots and Swarm Intelligence (3 papers). The work is most often cited by research in Genetics (292 citations), Cognitive Neuroscience (228 citations), Radiology, Nuclear Medicine and Imaging (187 citations), Cancer Research (105 citations) and Developmental and Educational Psychology (93 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, S. Ken, Christine Toulas, Anne Laprie, I. Berry and Louisa Draper. Their work appears in journals such as Radiotherapy and Oncology, Acta Neurochirurgica, Journal of neurosurgery, Journal of Neuro-Oncology and Oncotarget.

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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