Isabel Lamet

508 citations
10 papers · 391 · h-index 9

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neurological disorders and treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Dementia and Cognitive Impairment Research

Papers in

Isabel Lamet

9 papers receiving 388 citations

Peers

Isabel Lamet
Comparison fields: 5 of 60
  • Neurology 169
  • Neurology 60
  • Psychiatry and Mental health 94
  • Physiology 127
  • Complementary and alternative medicine 31
Replace P. De Deyn with:
P. De Deyn Belgium
Odinak Mm Russia
Viviana Lisetti Italy
Masayuki Kohsaka Japan
Sheng‐Di Chen China
Sara Ortega‐Cubero Spain
Zeynep Tüfekçıoğlu Türkiye
Luiz Felipe Vasconcellos Brazil
Shunichi Koyama Japan
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Citations per field
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Citations per year

Countries citing papers authored by Isabel Lamet

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Lamet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201296
2 200979
3 201148
4 201440
5 201337
6 201230
7 200626
8 201119
9 201316
10 20150

About Isabel Lamet

Isabel Lamet is a scholar working on Physiology, Psychiatry and Mental health, Neurology, Neurology and Molecular Biology, having authored 10 papers that have together received 391 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Dementia and Cognitive Impairment Research (5 papers), Neurological Disease Mechanisms and Treatments (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Folate and B Vitamins Research (2 papers), Neurological disorders and treatments (2 papers), Frailty in Older Adults (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Neurology (169 citations), Neurology (60 citations), Psychiatry and Mental health (94 citations), Physiology (127 citations) and Complementary and alternative medicine (31 citations). Isabel Lamet has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include María Rodríguez‐Oroz, Pedro Clavero, José Á. Obeso, David García‐García, R. Reina Gonzalez, Javier Arbizu, Pau Pástor, Carmen Gasca‐Salas, Lluı́s Samaranch and Jon B. Toledo. Their work appears in journals such as Neurobiology of Aging, European Journal of Nuclear Medicine and Molecular Imaging, Journal of Alzheimer s Disease, European Journal of Neurology and Movement Disorders.

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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