Janet Brownlees

2.3k total citations
35 papers, 1.8k citations indexed

About

Janet Brownlees is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Janet Brownlees has authored 35 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 12 papers in Cellular and Molecular Neuroscience and 10 papers in Cell Biology. Recurrent topics in Janet Brownlees's work include Alzheimer's disease research and treatments (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Wnt/β-catenin signaling in development and cancer (6 papers). Janet Brownlees is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Amyotrophic Lateral Sclerosis Research (7 papers) and Wnt/β-catenin signaling in development and cancer (6 papers). Janet Brownlees collaborates with scholars based in United Kingdom, United States and Italy. Janet Brownlees's 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 and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and Scientific Reports.

In The Last Decade

Janet Brownlees

30 papers receiving 1.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Janet Brownlees United Kingdom 20 931 578 524 516 439 35 1.8k
Anand Goswami Germany 22 1.6k 1.7× 648 1.1× 432 0.8× 510 1.0× 267 0.6× 39 2.3k
Xiaojie Li China 14 1.3k 1.4× 648 1.1× 259 0.5× 1.0k 2.0× 494 1.1× 27 2.4k
Rodrigo A. Fuentealba Chile 11 801 0.9× 336 0.6× 259 0.5× 299 0.6× 404 0.9× 14 1.4k
Maxime W.C. Rousseaux United States 19 913 1.0× 404 0.7× 169 0.3× 587 1.1× 302 0.7× 39 1.7k
Elize D. Haasdijk Netherlands 22 910 1.0× 405 0.7× 406 0.8× 994 1.9× 421 1.0× 28 2.1k
Kevin C. Kanning United States 12 1.0k 1.1× 1.0k 1.7× 177 0.3× 355 0.7× 209 0.5× 13 1.9k
Joy Irobi Belgium 20 1.4k 1.5× 921 1.6× 475 0.9× 630 1.2× 166 0.4× 34 2.3k
Kexiang Xu United States 10 740 0.8× 583 1.0× 464 0.9× 915 1.8× 401 0.9× 13 1.7k
Jessica E. Young United States 20 1.2k 1.3× 772 1.3× 305 0.6× 266 0.5× 586 1.3× 52 1.9k
Mervyn J. Monteiro United States 36 2.3k 2.5× 750 1.3× 1.1k 2.2× 841 1.6× 769 1.8× 74 3.7k

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-authorship network of co-authors of Janet Brownlees

This figure shows the co-authorship network connecting the top 25 collaborators of Janet Brownlees. A scholar is included among the top collaborators of Janet Brownlees based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Janet Brownlees. Janet Brownlees is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Corbett, Nicola J., et al.. (2023). 3D models of neurodegeneration: implementation in drug discovery. Trends in Pharmacological Sciences. 44(4). 208–221. 15 indexed citations
5.
Obst, Juliane, É. Simon, María Martín‐Estebané, et al.. (2020). Inhibition of IL-34 Unveils Tissue-Selectivity and Is Sufficient to Reduce Microglial Proliferation in a Model of Chronic Neurodegeneration. Frontiers in Immunology. 11. 579000–579000. 21 indexed citations
6.
Redondo‐Castro, Elena, Alex G. Baldwin, Simon A. Osborne, et al.. (2018). Development of a characterised tool kit for the interrogation of NLRP3 inflammasome-dependent responses. Scientific Reports. 8(1). 5667–5667. 22 indexed citations
7.
Chapman, Timothy M., Claire Wallace, Preeti Bakrania, et al.. (2015). N-Hydroxyimides and hydroxypyrimidinones as inhibitors of the DNA repair complex ERCC1–XPF. Bioorganic & Medicinal Chemistry Letters. 25(19). 4104–4108. 19 indexed citations
8.
Vos, Kurt J. De, Anna Chapman, Catherine Manser, et al.. (2007). Familial amyotrophic lateral sclerosis-linked SOD1 mutants perturb fast axonal transport to reduce axonal mitochondria content. Human Molecular Genetics. 16(22). 2720–2728. 326 indexed citations
9.
Tudor, Elizabeth L., Michael S. Perkinton, Anja Schmidt, et al.. (2005). ALS2/Alsin Regulates Rac-PAK Signaling and Neurite Outgrowth. Journal of Biological Chemistry. 280(41). 34735–34740. 72 indexed citations
10.
Ackerley, Steven, Andrew J. Grierson, Steven J. Banner, et al.. (2004). p38α stress-activated protein kinase phosphorylates neurofilaments and is associated with neurofilament pathology in amyotrophic lateral sclerosis. Molecular and Cellular Neuroscience. 26(2). 354–364. 92 indexed citations
11.
Cullen, Valerie, Janet Brownlees, Steven J. Banner, et al.. (2004). Gigaxonin is associated with the Golgi and dimerises via its BTB domain. Neuroreport. 15(5). 873–876. 13 indexed citations
12.
Brownlees, Janet. (2002). Charcot-Marie-Tooth disease neurofilament mutations disrupt neurofilament assembly and axonal transport. Human Molecular Genetics. 11(23). 2837–2844. 171 indexed citations
13.
Miller, Christopher C.J., et al.. (2002). Axonal transport of neurofilaments in normal and disease states. Cellular and Molecular Life Sciences. 59(2). 323–330. 74 indexed citations
14.
Standen, Claire L., Janet Brownlees, Andrew J. Grierson, et al.. (2001). Phosphorylation of thr668in the cytoplasmic domain of the Alzheimer's disease amyloid precursor protein by stress‐activated protein kinase 1b (Jun N‐terminal kinase‐3). Journal of Neurochemistry. 76(1). 316–320. 104 indexed citations
15.
Ackerley, Steven, Andrew J. Grierson, Janet Brownlees, et al.. (2000). Using GFP-tagged neurofilament middle chain to investigate slow transport in cultured cortical neurons. European Journal of Neuroscience. 12. 348–348. 1 indexed citations
16.
McLoughlin, Declan M., Nicholas G. Irving, Janet Brownlees, et al.. (1999). Mint2/X11‐like colocalizes with the Alzheimer's disease amyloid precursor protein and is associated with neuritic plaques in Alzheimer's disease. European Journal of Neuroscience. 11(6). 1988–1994. 73 indexed citations
17.
Gibb, Barry, Jean‐Pierre Brion, Janet Brownlees, Brian H. Anderton, & Christopher C.J. Miller. (1998). Neuropathological Abnormalities in Transgenic Mice Harbouring a Phosphorylation Mutant Neurofilament Transgene. Journal of Neurochemistry. 70(2). 492–500. 42 indexed citations
18.
Brownlees, Janet, Nicholas G. Irving, Jean‐Pierre Brion, et al.. (1997). Tau phosphorylation in transgenic mice expressing glycogen synthase kinase-3β transgenes. Neuroreport. 8(15). 3251–3255. 87 indexed citations
19.
Wagner, Uta, Janet Brownlees, Nicholas G. Irving, et al.. (1997). Overexpression of the mouse dishevelled‐1 protein inhibits GSK‐3β‐mediated phosphorylation of tau in transfected mammalian cells. FEBS Letters. 411(2-3). 369–372. 44 indexed citations
20.
Brownlees, Janet, et al.. (1992). Purification and Immunochemical Studies of Dipeptidyl Peptidase IV from Bovine Kidney. Biological Chemistry Hoppe-Seyler. 373(2). 911–914. 7 indexed citations

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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