Lauren Massimo

2.9k citations
75 papers · 1.6k indexed · h-index 23

Impact in

    • Dementia and Cognitive Impairment Research
  • Neurology top 2%
    • Parkinson's Disease Mechanisms and Treatments
    • Amyotrophic Lateral Sclerosis Research
    • Neurological disorders and treatments

Papers in

Lauren Massimo

68 papers receiving 1.6k citations

Peers

Lauren Massimo
Comparison fields: 5 of 101
  • Psychiatry and Mental health 905
  • Neurology 528
  • Cognitive Neuroscience 594
  • Physiology 536
  • Neurology 162
Replace Mathieu Ceccaldi with:
Mathieu Ceccaldi France
Mira Karrasch Finland
Camilla N. Clark United Kingdom
Fiona Kumfor Australia
Christopher Kipps United Kingdom
Carmen García‐Sánchez Spain
Bryan Bernard United States
Carlos A. Mangone Argentina
Sara Palermo Italy
Nancy S. Foldi United States
Lauren Massimo relative to Mathieu Ceccaldi France Mathieu Ceccaldi's profile →
Citations per field
00.5×1.6×
Mathieu Ceccaldi · 1×
Citations per year

Countries citing papers authored by Lauren Massimo

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Massimo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

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20 200733

About Lauren Massimo

Lauren Massimo is a scholar working on Psychiatry and Mental health, Neurology, Neuropsychology and Physiological Psychology, Cognitive Neuroscience and Physiology, having authored 75 papers that have together received 1.6k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (44 papers), Parkinson's Disease Mechanisms and Treatments (23 papers), Alzheimer's disease research and treatments (21 papers), Amyotrophic Lateral Sclerosis Research (12 papers), Functional Brain Connectivity Studies (10 papers), Advanced Neuroimaging Techniques and Applications (7 papers), Neurobiology of Language and Bilingualism (6 papers) and Geriatric Care and Nursing Homes (6 papers). The work is most often cited by research in Psychiatry and Mental health (905 citations), Neurology (528 citations), Cognitive Neuroscience (594 citations), Physiology (536 citations) and Neurology (162 citations). Lauren Massimo has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Murray Grossman, David J. Libon, John Q. Trojanowski, Corey T. McMillan, Anjan Chatterjee, Mark S. Forman, Peachie Moore, Lois K. Evans, Howard I. Hurtig and Luisa Vesely. Their work appears in journals such as Neurology, Innovation in Aging, NeuroImage Clinical, JAMA Neurology and Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration.

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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