Samuel Valable

3.7k citations
108 papers · 3.0k · h-index 31

Impact in

  • Genetics top 1%
    • Glioma Diagnosis and Treatment
  • Neurology top 2%
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Samuel Valable

99 papers receiving 2.9k citations

Peers

Samuel Valable
Comparison fields: 5 of 119
  • Genetics 606
  • Neurology 336
  • Cancer Research 550
  • Developmental Neuroscience 123
  • Radiology, Nuclear Medicine and Imaging 481
Replace Takanori Ohnishi with:
Takanori Ohnishi Japan
Ilker Y. Eyüpoglu Germany
Martin Proescholdt Germany
Shinichi Yoshimura Japan
Luc Bauchet France
Edwige Petit France
Marsha J. Merrill United States
Sergio Caballero United States
Do‐Hyun Nam South Korea
Samuel Valable relative to Takanori Ohnishi Japan Takanori Ohnishi's profile →
Citations per field
00.5×1.5×2.1×
Takanori Ohnishi · 1×
Citations per year

Countries citing papers authored by Samuel Valable

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Valable

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Samuel Valable, 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 Samuel Valable Line = papers co-authored together Samuel Valable links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009168
2 2005167
3 2012123
4 2006122
5 2006104
6 200597
7 200891
8 200891
9 200391
10 201785
11 201585
12 201785
13 200784
14 200375
15 201260
16 200957
17 201257
18 200753
19 200852
20 201148

About Samuel Valable

Samuel Valable is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 108 papers that have together received 3.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (29 papers), Cancer, Hypoxia, and Metabolism (18 papers), MRI in cancer diagnosis (8 papers), Angiogenesis and VEGF in Cancer (8 papers), Medical Imaging Techniques and Applications (7 papers), Advanced MRI Techniques and Applications (7 papers), Zeolite Catalysis and Synthesis (6 papers) and Immune cells in cancer (6 papers). The work is most often cited by research in Genetics (606 citations), Neurology (336 citations), Cancer Research (550 citations), Developmental Neuroscience (123 citations) and Radiology, Nuclear Medicine and Imaging (481 citations). Samuel Valable has collaborated with scholars based in France, Luxembourg and United Kingdom. Frequent co-authors include Myriam Bernaudin, Edwige Petit, Eric T. MacKenzie, Didier Divoux, Simon Roussel, Emmanuel Barbier, Chantal Rémy, Aurélien Corroyer‐Dulmont, Elodie A. Pérès and Christoph Segebarth. Their work appears in journals such as Journal of Cerebral Blood Flow & Metabolism, Cancers, Microporous and Mesoporous Materials, Neuro-Oncology and NMR in Biomedicine.

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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