Jeremy Brown

2.1k citations
15 papers · 1.1k indexed · 1 hit paper · h-index 10

Jeremy Brown

15 papers receiving 1.0k citations

Hit Papers

Mutations in the endosomal ESCRTIII-complex subunit CHMP2...6052005202620122019200400600

Peers

Jeremy Brown
Comparison fields: 5 of 74
  • Neurology 630
  • Neurology 220
  • Physiology 479
  • Cell Biology 208
  • Psychiatry and Mental health 182
Replace Anne Sieben with:
Anne Sieben Belgium
Tiffany Young United States
Pilar Gómez‐Garre Spain
Marsel Mesulam United States
Mitsumoto Onaya Japan
Iris E. Jansen Netherlands
Michail E. Kalaitzakis United Kingdom
Juan José Poza Spain
Sara Van Mossevelde Belgium
Fátima Carrillo Spain
Jeremy Brown relative to Anne Sieben Belgium Anne Sieben's profile →
Citations per field
00.5×4.5×
Anne Sieben · 1×
Citations per year

Countries citing papers authored by Jeremy Brown

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 201910
2 20197
3 20173
4 20179
5 20149
6 201429
7 20135
8 20137
9 2010142
10 2007132
11 200738
12
Mutations in the endosomal ESCRTIII-complex subunit CHMP2B in frontotemporal dementiabreakdown →
2005605
13 199829
14
CHMP2B Frontotemporal Dementia
19931
15 199342

About Jeremy Brown

Jeremy Brown is a scholar working on Geriatrics and Gerontology, Psychiatry and Mental health and Neurology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (6 papers), Alzheimer's disease research and treatments (4 papers), Amyotrophic Lateral Sclerosis Research (4 papers), Neurological diseases and metabolism (3 papers), Cognitive Functions and Memory (3 papers), Frailty in Older Adults (2 papers), Cellular transport and secretion (2 papers) and Parkinson's Disease Mechanisms and Treatments (2 papers). The work is most often cited by research in Neurology (630 citations), Neurology (220 citations) and Physiology (479 citations). Jeremy Brown has collaborated with scholars based in United Kingdom, Denmark and Australia. Frequent co-authors include Sebastian Brandner, Elizabeth Fisher, Peter Johannsen, John Collinge, Martin N. Rossor, Jørgen E. Nielsen, John R. Hodges, Holger Hummerich, Maria Grazia Spillantini and Arne Brun. Their work appears in journals such as Nature Genetics, Human Molecular Genetics and Journal of Neurology Neurosurgery & Psychiatry.

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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