G. Lace

944 citations
6 papers · 686 · h-index 6

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

    • Alzheimer's disease research and treatments 4
    • Neuroinflammation and Neurodegeneration Mechanisms 1
    • Neurological Disorders and Treatments 1

G. Lace

6 papers receiving 676 citations

Peers

G. Lace
Comparison fields: 5 of 71
  • Neurology 247
  • Biological Psychiatry 47
  • Physiology 431
  • Developmental Neuroscience 42
  • Psychiatry and Mental health 125
Replace Arline Faustin with:
Arline Faustin United States
Ajeet Rijal Upadhaya Germany
Jasmin Bartl Germany
John F. Ervin United States
Irene Piaceri Italy
Valérie Suain Belgium
Marcos F Garcia United States
S.H. MacGowan United Kingdom
Makis Tzioras United Kingdom
Kevin R. Kay United States
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Citations per field
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Arline Faustin · 1×
Citations per year

Countries citing papers authored by G. Lace

Since Specialization
Citations

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

Fields of papers citing papers by G. Lace

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside G. Lace, 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 G. Lace Line = papers co-authored together G. Lace links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2008305
2 2009167
3 200984
4 201167
5 201236
6 200727

About G. Lace

G. Lace is a scholar working on Physiology, Neurology, Psychiatry and Mental health, Pharmacology and Cellular and Molecular Neuroscience, having authored 6 papers that have together received 686 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Dementia and Cognitive Impairment Research (2 papers), Cholinesterase and Neurodegenerative Diseases (1 paper), Functional Brain Connectivity Studies (1 paper), Neuroscience and Neuropharmacology Research (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Acute Ischemic Stroke Management (1 paper) and Neurological Disorders and Treatments (1 paper). The work is most often cited by research in Neurology (247 citations), Biological Psychiatry (47 citations), Physiology (431 citations), Developmental Neuroscience (42 citations) and Psychiatry and Mental health (125 citations). G. Lace has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Stephen B. Wharton, Paul G. Ince, Fiona E. Matthews, George M. Savva, Carol Brayne, G. Forster, Julie E. Simpson, Pamela J. Shaw, Gill Forster and Catherine Gelsthorpe. Their work appears in journals such as Neuropathology and Applied Neurobiology, Journal of Alzheimer s Disease, Neurobiology of Aging, Dementia and Geriatric Cognitive Disorders and Brain.

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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