Gareth John

6.7k total citations · 2 hit papers
53 papers, 4.4k citations indexed

About

Gareth John is a scholar working on Neurology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Gareth John has authored 53 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 12 papers in Pathology and Forensic Medicine and 11 papers in Molecular Biology. Recurrent topics in Gareth John's work include Multiple Sclerosis Research Studies (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Neurogenesis and neuroplasticity mechanisms (10 papers). Gareth John is often cited by papers focused on Multiple Sclerosis Research Studies (11 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Neurogenesis and neuroplasticity mechanisms (10 papers). Gareth John collaborates with scholars based in United States, United Kingdom and France. Gareth John's co-authors include Celia F. Brosnan, Sunhee C. Lee, Azeb Tadesse Argaw, Cedric S. Raine, Yueting Zhang, Andleeb Zameer, Blake T. Gurfein, Kakuri M. Omari, Mark A. Rivieccio and John N. Mariani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Gareth John

48 papers receiving 4.4k citations

Hit Papers

Astrocyte-derived VEGF-A drives blood-brain barrier disru... 2009 2026 2014 2020 2012 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gareth John United States 27 1.9k 1.6k 874 790 729 53 4.4k
Alessandra Bergami Italy 27 1.3k 0.7× 1.6k 1.0× 1.2k 1.4× 885 1.1× 857 1.2× 46 4.0k
Jingwei Zhao China 23 1.6k 0.9× 1.3k 0.8× 886 1.0× 930 1.2× 736 1.0× 74 4.0k
Lou Brundin Sweden 36 950 0.5× 979 0.6× 859 1.0× 647 0.8× 501 0.7× 82 3.9k
Tomohiro Matsuyama Japan 46 1.7k 0.9× 2.5k 1.6× 1.4k 1.6× 654 0.8× 1.3k 1.8× 160 6.6k
Clemens Sommer Germany 30 2.0k 1.0× 1.2k 0.8× 448 0.5× 858 1.1× 638 0.9× 97 4.5k
Antje Kroner Germany 29 1.2k 0.6× 983 0.6× 418 0.5× 1.1k 1.4× 775 1.1× 55 3.8k
Lu Zhou China 25 3.4k 1.8× 2.2k 1.4× 836 1.0× 1.2k 1.5× 1.1k 1.6× 68 6.4k
Lijun Xu United States 32 1.8k 1.0× 2.5k 1.6× 619 0.7× 657 0.8× 1.0k 1.4× 63 5.1k
Dimitrios Davalos United States 19 3.3k 1.7× 1.2k 0.8× 686 0.8× 1.3k 1.7× 1.3k 1.7× 30 6.1k
Marc J. Ruitenberg Australia 40 1.2k 0.6× 1.2k 0.8× 1.1k 1.2× 874 1.1× 1.8k 2.4× 83 4.7k

Countries citing papers authored by Gareth John

Since Specialization
Citations

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

Fields of papers citing papers by Gareth John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gareth John

This figure shows the co-authorship network connecting the top 25 collaborators of Gareth John. A scholar is included among the top collaborators of Gareth John 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 Gareth John. Gareth John 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
1.
Pembroke, Tom, Gareth John, Marek Czajkowski, et al.. (2023). Rising incidence, progression and changing patterns of liver disease in Wales 1999-2019. World Journal of Hepatology. 15(1). 89–106. 4 indexed citations
2.
Horng, Sam, Sarah Moyon, Azeb Tadesse Argaw, et al.. (2017). Astrocytic tight junctions control inflammatory CNS lesion pathogenesis. Journal of Clinical Investigation. 127(8). 3136–3151. 171 indexed citations
3.
Laitman, Benjamin M., John N. Mariani, Chi Zhang, Setsu Sawai, & Gareth John. (2017). Karyopherin Alpha Proteins Regulate Oligodendrocyte Differentiation. PLoS ONE. 12(1). e0170477–e0170477. 4 indexed citations
4.
Levy, Michael, Maureen A. Mealy, Sven Jarius, et al.. (2015). New Acute Severity Scale for Neuromyelitis Optica Relapses (P5.249). Neurology. 84(14_supplement).
5.
Laitman, Benjamin M. & Gareth John. (2015). Understanding How Exercise Promotes Cognitive Integrity in the Aging Brain. PLoS Biology. 13(11). e1002300–e1002300. 15 indexed citations
6.
Goodin, Douglas S., Anthony T. Reder, Robert Bermel, et al.. (2015). Relapses in multiple sclerosis: Relationship to disability. Multiple Sclerosis and Related Disorders. 6. 10–20. 36 indexed citations
7.
Rusielewicz, Tomasz, et al.. (2014). Accelerated repair of demyelinated CNS lesions in the absence of non‐muscle myosin IIB. Glia. 62(4). 580–591. 21 indexed citations
8.
Zhang, Jingya, Elisabeth G. Kramer, Linnéa Asp, et al.. (2011). Promoting myelin repair and return of function in multiple sclerosis. FEBS Letters. 585(23). 3813–3820. 14 indexed citations
9.
Ouamara, Nadia, Andleeb Zameer, Gregory Cosentino, et al.. (2010). Glatiramer acetate-reactive T lymphocytes regulate oligodendrocyte progenitor cell number in vitro: Role of IGF-2. Journal of Neuroimmunology. 227(1-2). 71–79. 25 indexed citations
10.
Gurfein, Blake T., Yueting Zhang, Carolina B. López, et al.. (2009). IL-11 Regulates Autoimmune Demyelination. The Journal of Immunology. 183(7). 4229–4240. 63 indexed citations
11.
Argaw, Azeb Tadesse, Blake T. Gurfein, Yueting Zhang, Andleeb Zameer, & Gareth John. (2009). VEGF-mediated disruption of endothelial CLN-5 promotes blood-brain barrier breakdown. Proceedings of the National Academy of Sciences. 106(6). 1977–1982. 522 indexed citations breakdown →
12.
Zhang, Yueting, Carla Taveggia, Carmen V. Melendez‐Vasquez, et al.. (2006). Interleukin-11 Potentiates Oligodendrocyte Survival and Maturation, and Myelin Formation. Journal of Neuroscience. 26(47). 12174–12185. 113 indexed citations
13.
Argaw, Azeb Tadesse, Yueting Zhang, Brian Snyder, et al.. (2006). IL-1β Regulates Blood-Brain Barrier Permeability via Reactivation of the Hypoxia-Angiogenesis Program. The Journal of Immunology. 177(8). 5574–5584. 277 indexed citations
14.
Rivieccio, Mark A., Gareth John, Xianyuan Song, et al.. (2005). The Cytokine IL-1β Activates IFN Response Factor 3 in Human Fetal Astrocytes in Culture. The Journal of Immunology. 174(6). 3719–3726. 53 indexed citations
15.
John, Gareth, Lanfen Chen, Mark A. Rivieccio, et al.. (2004). Interleukin-1β Induces a Reactive Astroglial Phenotype via Deactivation of the Rho GTPase–Rock Axis. Journal of Neuroscience. 24(11). 2837–2845. 156 indexed citations
16.
John, Gareth, Sunhee C. Lee, Xianyuan Song, Mark A. Rivieccio, & Celia F. Brosnan. (2004). IL‐1‐regulated responses in astrocytes: Relevance to injury and recovery. Glia. 49(2). 161–176. 171 indexed citations
18.
19.
John, Gareth, Sunhee C. Lee, & Celia F. Brosnan. (2003). Cytokines: Powerful Regulators of Glial Cell Activation. The Neuroscientist. 9(1). 10–22. 239 indexed citations
20.
Liu, Judy S. H., et al.. (2000). Modulation of Interleukin-1β and Tumor Necrosis Factor α Signaling by P2 Purinergic Receptors in Human Fetal Astrocytes. Journal of Neuroscience. 20(14). 5292–5299. 74 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026