Eric Guedj

1.5k citations
28 papers · 628 · h-index 11

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological diseases and metabolism
    • Functional Brain Connectivity Studies

Papers in

Eric Guedj

27 papers receiving 621 citations

Peers

Eric Guedj
Comparison fields: 5 of 77
  • Neurology 287
  • Cognitive Neuroscience 229
  • Neurology 97
  • Genetics 94
  • Psychiatry and Mental health 131
Replace Gina Norato with:
Gina Norato United States
Yume Suzuki Japan
Christophe Orssaud France
Pichet Termsarasab United States
François‐Xavier Borruat Switzerland
Jiří Keller Czechia
Zeenat Jaisani United States
C.A. Maurage France
Jonathon J. Parker United States
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Citations per field
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Citations per year

Countries citing papers authored by Eric Guedj

Since Specialization
Citations

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

Fields of papers citing papers by Eric Guedj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009239
2 2010158
3 201043
4 200432
5 200827
6
Performance in recognition memory is correlated with entorhinal/perirhinal interictal metabolism in temporal lobe epilepsy
201017
7 201616
8 200714
9 200413
10 202111
11 201411
12 20217
13 20167
14 20186
15 20165
16 20244
17 20083
18 20123
19 20242
20 20252

About Eric Guedj

Eric Guedj is a scholar working on Neurology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cognitive Neuroscience and Psychiatry and Mental health, having authored 28 papers that have together received 628 indexed citations. Recurring topics across this work include Neurological disorders and treatments (4 papers), Medical Imaging Techniques and Applications (4 papers), Epilepsy research and treatment (4 papers), Glioma Diagnosis and Treatment (3 papers), Advanced MRI Techniques and Applications (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Mitochondrial Function and Pathology (2 papers) and Neuroblastoma Research and Treatments (2 papers). The work is most often cited by research in Neurology (287 citations), Cognitive Neuroscience (229 citations), Neurology (97 citations), Genetics (94 citations) and Psychiatry and Mental health (131 citations). Eric Guedj has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Sylviane Confort‐Gouny, Maxime Guye, Patrick Chauvel, Jean‐Philippe Ranjeva, Patrick J. Cozzone, Fabrice Bartoloméi, Gaëlle Bettus, M. Décousus, François Salachas and Vincent Meininger. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Neurology, The Journal of Clinical Psychiatry, Alzheimer s & Dementia and Journal of Pediatric Hematology/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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