E Gil-Néciga

1.2k citations
33 papers · 706 · h-index 13

Impact in

Papers in

    • Amyotrophic Lateral Sclerosis Research 3
    • Parkinson's Disease Mechanisms and Treatments 2
    • Alzheimer's disease research and treatments 8

E Gil-Néciga

33 papers receiving 695 citations

Peers

E Gil-Néciga
Comparison fields: 5 of 78
  • Cognitive Neuroscience 342
  • Psychiatry and Mental health 223
  • Neurology 74
  • Physiology 218
  • Neurology 122
Replace Serge Bakchine with:
Serge Bakchine France
Lorenzo Pasquini United States
Stefano Delli Pizzi Italy
Štefan Holiga Germany
Sofie M. Adriaanse Netherlands
L. Bracco Italy
Hossein Sanjari Moghaddam Iran
Ana Tereza Di Lorenzo Alho Brazil
Lorenzo Pini Italy
Abigail J. Sheldrick Germany
E Gil-Néciga relative to Serge Bakchine France Serge Bakchine's profile →
Citations per field
00.5×1.5×
Serge Bakchine · 1×
Citations per year

Countries citing papers authored by E Gil-Néciga

Since Specialization
Citations

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

Fields of papers citing papers by E Gil-Néciga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E Gil-Néciga. 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 E Gil-Néciga. The network helps show where E Gil-Néciga may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009164
2 201279
3 201374
4 201148
5 200942
6 200942
7 201041
8 201540
9 201419
10 201318
11 200618
12 201314
13 200414
14
[Verbal fluency and Alzheimer's disease].
199911
15 20169
16 19798
17 20026
18 19976
19 19996
20 20026

About E Gil-Néciga

E Gil-Néciga is a scholar working on Neurology, Physiology, Cognitive Neuroscience, Psychiatry and Mental health and Molecular Biology, having authored 33 papers that have together received 706 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Dementia and Cognitive Impairment Research (8 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Memory and Neural Mechanisms (3 papers), Functional Brain Connectivity Studies (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Acute Ischemic Stroke Management (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Cognitive Neuroscience (342 citations), Psychiatry and Mental health (223 citations), Neurology (74 citations), Physiology (218 citations) and Neurology (122 citations). E Gil-Néciga has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Mercedes Atienza, José L. Cantero, Aida Suárez‐González, Emilio Franco‐Macías, Michel J. Grothe, Katrin Amunts, S Teipel, László Záborszky, Sebastian J. Crutch and Julián Pérez‐Pérez. Their work appears in journals such as NeuroImage, Journal of the Neurological Sciences, Alzheimer s & Dementia, Neurocase and International Psychogeriatrics.

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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