Samuel Valable

105 papers receiving 3.1k citations

Peers

Samuel Valable
Comparison fields: 5 of 121
  • Genetics 650
  • Neurology 351
  • Cancer Research 596
  • Developmental Neuroscience 132
  • Radiology, Nuclear Medicine and Imaging 516
Replace Takanori Ohnishi with:
Takanori Ohnishi Japan
Ilker Yasin Eyüpoglu Germany
Michael O. Breckwoldt Germany
Thomas Mathivet France
Shinichi Yoshimura Japan
Marsha J. Merrill United States
Sergio Caballero United States
Martin Andreas Proescholdt Germany
Zhixiong Liu China
Bruno Larrivée Canada
Samuel Valable relative to Takanori Ohnishi Japan Takanori Ohnishi's profile →
Citations per field
00.5×1.5×2.0×
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 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009181
2 2005174
3 2012131
4 2006126
5 2006113
6 2005100
7 200896
8 200894
9 200392
10 201591
11 201791
12 201790
13 200788
14 200383
15 200963
16 201261
17 201260
18 200756
19 200855
20 202050

About Samuel Valable

Samuel Valable is a scholar working on Genetics, Cancer Research, Radiology, Nuclear Medicine and Imaging, Neurology and Pulmonary and Respiratory Medicine, having authored 114 papers that have together received 3.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (30 papers), Cancer, Hypoxia, and Metabolism (20 papers), Medical Imaging Techniques and Applications (8 papers), MRI in cancer diagnosis (8 papers), Angiogenesis and VEGF in Cancer (8 papers), Radiation Therapy and Dosimetry (7 papers), Brain Metastases and Treatment (7 papers) and Advanced MRI Techniques and Applications (7 papers). The work is most often cited by research in Genetics (650 citations), Neurology (351 citations), Cancer Research (596 citations), Developmental Neuroscience (132 citations) and Radiology, Nuclear Medicine and Imaging (516 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 Anne Pérès and Christoph M. 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.

Explore authors with similar magnitude of impact