Janet Brownlees

2.3k citations
35 papers · 1.8k · h-index 20

Impact in

  • Neurology top 2%
    • Amyotrophic Lateral Sclerosis Research
    • Neurological diseases and metabolism
    • Parkinson's Disease Mechanisms and Treatments
    • Skin and Cellular Biology Research

Papers in

Janet Brownlees

30 papers receiving 1.8k citations

Peers

Janet Brownlees
Comparison fields: 5 of 90
  • Neurology 516
  • Cell Biology 524
  • Cellular and Molecular Neuroscience 578
  • Neurology 239
  • Developmental Neuroscience 88
Replace Anand Goswami with:
Anand Goswami Germany
Toni Williamson United States
Rodrigo A. Fuentealba Chile
Elize D. Haasdijk Netherlands
Natalia Rodríguez‐Muela Spain
Maxime W.C. Rousseaux United States
Asako Otomo Japan
Michael L. Garcia United States
Max Koppers Netherlands
Hibiki Kawamata United States
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Citations per field
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Anand Goswami · 1×
Citations per year

Countries citing papers authored by Janet Brownlees

Since Specialization
Citations

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

Fields of papers citing papers by Janet Brownlees

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007326
2 2002171
3 2003164
4 2000140
5 2001104
6 200492
7 199787
8 199380
9 200080
10 200274
11 199973
12 200572
13 200169
14 199744
15 199842
16 201540
17 201526
18 200123
19 201822
20 202021

About Janet Brownlees

Janet Brownlees is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Physiology and Neurology, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Skin and Cellular Biology Research (5 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Peptidase Inhibition and Analysis (3 papers), Hereditary Neurological Disorders (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Neurology (516 citations), Cell Biology (524 citations), Cellular and Molecular Neuroscience (578 citations), Neurology (239 citations) and Developmental Neuroscience (88 citations). Janet Brownlees has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Christopher C.J. Miller, Steven Ackerley, Christopher E. Shaw, Andrew J. Grierson, P. Nigel Leigh, Declan M. McLoughlin, Brian H. Anderton, Paul Thornhill, Kwok‐Fai Lau and C. H. Williams. Their work appears in journals such as European Journal of Neuroscience, Scientific Reports, Journal of Neurochemistry, The Journal of Cell Biology and Human Molecular Genetics.

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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