Philip Hasel

2.6k total citations · 3 hit papers
16 papers, 1.7k citations indexed

About

Philip Hasel is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Philip Hasel has authored 16 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Neurology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Philip Hasel's work include Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Mitochondrial Function and Pathology (4 papers). Philip Hasel is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Mitochondrial Function and Pathology (4 papers). Philip Hasel collaborates with scholars based in United Kingdom, United States and India. Philip Hasel's co-authors include Shane A. Liddelow, Jessica S. Sadick, Rachel D. Kim, Indigo V.L. Rose, Giles E. Hardingham, Paul Baxter, Michael R. O’Dea, Arline Faustin, Taitea Dykstra and Sean McKay and has published in prestigious journals such as Nature, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Philip Hasel

16 papers receiving 1.7k citations

Hit Papers

Neurotoxic reactive astrocytes induce cell death via satu... 2021 2026 2022 2024 2021 2021 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Hasel United Kingdom 14 849 789 452 403 254 16 1.7k
Lucile Ben Haim France 10 857 1.0× 592 0.8× 568 1.3× 427 1.1× 266 1.0× 13 1.7k
Lieneke Kooijman Netherlands 18 924 1.1× 838 1.1× 464 1.0× 858 2.1× 258 1.0× 26 2.1k
Juan Piña-Crespo United States 19 710 0.8× 613 0.8× 609 1.3× 611 1.5× 107 0.4× 33 1.8k
María-Angeles Carrillo-de Sauvage France 16 870 1.0× 479 0.6× 480 1.1× 390 1.0× 169 0.7× 20 1.7k
Marta Bolós Spain 26 824 1.0× 635 0.8× 372 0.8× 1.1k 2.7× 237 0.9× 37 2.0k
Nicholas H. Varvel United States 18 1.1k 1.2× 584 0.7× 486 1.1× 867 2.2× 161 0.6× 26 2.1k
Hansruedi Mathys United States 10 1.0k 1.2× 1.1k 1.4× 262 0.6× 742 1.8× 178 0.7× 12 2.1k
Markel Olabarria United Kingdom 14 914 1.1× 528 0.7× 644 1.4× 968 2.4× 288 1.1× 15 1.8k
Vitaliy Gavrilyuk United States 17 559 0.7× 659 0.8× 336 0.7× 452 1.1× 85 0.3× 22 1.5k
Blanca I. Aldana Denmark 23 387 0.5× 685 0.9× 642 1.4× 425 1.1× 123 0.5× 62 1.5k

Countries citing papers authored by Philip Hasel

Since Specialization
Citations

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

Fields of papers citing papers by Philip Hasel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Hasel

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Hasel. A scholar is included among the top collaborators of Philip Hasel 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 Philip Hasel. Philip Hasel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Hasel, Philip, Melissa Cooper, Rachel D. Kim, et al.. (2025). Defining the molecular identity and morphology of glia limitans superficialis astrocytes in vertebrates. Cell Reports. 44(3). 115344–115344. 4 indexed citations
2.
Hasel, Philip, William H. Aisenberg, F. Chris Bennett, & Shane A. Liddelow. (2023). Molecular and metabolic heterogeneity of astrocytes and microglia. Cell Metabolism. 35(4). 555–570. 71 indexed citations
3.
Sadick, Jessica S., Michael R. O’Dea, Philip Hasel, et al.. (2022). Astrocytes and oligodendrocytes undergo subtype-specific transcriptional changes in Alzheimer’s disease. Neuron. 110(11). 1788–1805.e10. 207 indexed citations breakdown →
4.
Castranio, Emilie L., Philip Hasel, Jean‐Vianney Haure‐Mirande, et al.. (2022). Microglial INPP5D limits plaque formation and glial reactivity in the PSAPP mouse model of Alzheimer's disease. Alzheimer s & Dementia. 19(6). 2239–2252. 41 indexed citations
5.
Guttenplan, Kevin A., Maya K. Weigel, Priya Prakash, et al.. (2021). Neurotoxic reactive astrocytes induce cell death via saturated lipids. Nature. 599(7883). 102–107. 361 indexed citations breakdown →
6.
Hasel, Philip, Indigo V.L. Rose, Jessica S. Sadick, Rachel D. Kim, & Shane A. Liddelow. (2021). Neuroinflammatory astrocyte subtypes in the mouse brain. Nature Neuroscience. 24(10). 1475–1487. 355 indexed citations breakdown →
7.
Hasel, Philip & Shane A. Liddelow. (2021). Isoform-dependent APOE secretion modulates neuroinflammation. Nature Reviews Neurology. 17(5). 265–266. 17 indexed citations
8.
Qiu, Jing, Owen Dando, Paul Baxter, et al.. (2018). Mixed-species RNA-seq for elucidation of non-cell-autonomous control of gene transcription. Nature Protocols. 13(10). 2176–2199. 19 indexed citations
9.
McKay, Sean, Tomás J. Ryan, Jamie McQueen, et al.. (2018). The Developmental Shift of NMDA Receptor Composition Proceeds Independently of GluN2 Subunit-Specific GluN2 C-Terminal Sequences. Cell Reports. 25(4). 841–851.e4. 29 indexed citations
10.
Hasel, Philip, Owen Dando, Zoeb Jiwaji, et al.. (2017). Neurons and neuronal activity control gene expression in astrocytes to regulate their development and metabolism. Nature Communications. 8(1). 15132–15132. 216 indexed citations
11.
Jiwaji, Zoeb, Philip Hasel, Siddharthan Chandran, & Giles E. Hardingham. (2017). The role of neuronal activity in regulating metabolism in mouse and human astrocytes. The Lancet. 389. S51–S51. 1 indexed citations
12.
Márkus, Nóra M., Philip Hasel, Jing Qiu, et al.. (2016). Expression of mRNA Encoding Mcu and Other Mitochondrial Calcium Regulatory Genes Depends on Cell Type, Neuronal Subtype, and Ca2+ Signaling. PLoS ONE. 11(2). e0148164–e0148164. 25 indexed citations
13.
Baxter, Paul, Karen Bell, Philip Hasel, et al.. (2015). Synaptic NMDA receptor activity is coupled to the transcriptional control of the glutathione system. Nature Communications. 6(1). 6761–6761. 118 indexed citations
14.
Bell, Karen, Bashayer Al‐Mubarak, Sean McKay, et al.. (2015). Neuronal development is promoted by weakened intrinsic antioxidant defences due to epigenetic repression of Nrf2. Nature Communications. 6(1). 7066–7066. 155 indexed citations
15.
Marland, Jamie R. K., et al.. (2015). Mitochondrial Calcium Uptake Modulates Synaptic Vesicle Endocytosis in Central Nerve Terminals. Journal of Biological Chemistry. 291(5). 2080–2086. 53 indexed citations
16.
Hasel, Philip, Sean McKay, Jing Qiu, & Giles E. Hardingham. (2014). Selective dendritic susceptibility to bioenergetic, excitotoxic and redox perturbations in cortical neurons. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(9). 2066–2076. 34 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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