Vanesa Pytel

56 papers receiving 893 citations

Peers

Vanesa Pytel
Comparison fields: 5 of 101
  • Developmental Neuroscience 61
  • Neurology 122
  • Pathology and Forensic Medicine 218
  • Psychiatry and Mental health 140
  • Neurology 131
Replace Elisabeth Solana with:
Elisabeth Solana Spain
Allitia DiBernardo United States
Ewa Papuć Poland
Gregory Barnes United States
Brian Hunter United States
Anil Ramlackhansingh United Kingdom
Ángel Aledo‐Serrano Spain
Sonja Bröer Germany
Carlo Lovati Italy
Habib Ganjgahi United Kingdom
Vanesa Pytel relative to Elisabeth Solana Spain Elisabeth Solana's profile →
Citations per field
00.5×5.8×
Elisabeth Solana · 1×
Citations per year

Countries citing papers authored by Vanesa Pytel

Since Specialization
Citations

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

Fields of papers citing papers by Vanesa Pytel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202067
2 201940
3 201740
4 201638
5 202237
6 201837
7 202137
8 201937
9 201934
10 201733
11 202133
12 202228
13 202128
14 202125
15 201825
16 201922
17 201822
18 202121
19 201919
20 202019

About Vanesa Pytel

Vanesa Pytel is a scholar working on Psychiatry and Mental health, Pathology and Forensic Medicine, Cognitive Neuroscience, Neurology and Physiology, having authored 57 papers that have together received 902 indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (12 papers), Multiple Sclerosis Research Studies (12 papers), Neurobiology of Language and Bilingualism (10 papers), Alzheimer's disease research and treatments (6 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Developmental Neuroscience (61 citations), Neurology (122 citations), Pathology and Forensic Medicine (218 citations), Psychiatry and Mental health (140 citations) and Neurology (131 citations). Vanesa Pytel has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Jordi A. Matías‐Guiu, Jorge Matías‐Guiu, Teresa Moreno‐Ramos, Ulises Gómez‐Pinedo, María Nieves Cabrera‐Martín, Ana Cortés‐Martínez, Paloma Montero, Alfonso Delgado‐Álvarez, Cristina Delgado‐Alonso and Paloma Montero‐Escribano. Their work appears in journals such as Journal of Alzheimer s Disease, Alzheimer s & Dementia, Multiple Sclerosis and Related Disorders, Frontiers in Neurology and Cortex.

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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