Shane A. Liddelow

33.3k total citations · 10 hit papers
73 papers, 13.2k citations indexed

About

Shane A. Liddelow is a scholar working on Neurology, Molecular Biology and Immunology. According to data from OpenAlex, Shane A. Liddelow has authored 73 papers receiving a total of 13.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Neurology, 20 papers in Molecular Biology and 19 papers in Immunology. Recurrent topics in Shane A. Liddelow's work include Neuroinflammation and Neurodegeneration Mechanisms (43 papers), Immune cells in cancer (16 papers) and Barrier Structure and Function Studies (13 papers). Shane A. Liddelow is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (43 papers), Immune cells in cancer (16 papers) and Barrier Structure and Function Studies (13 papers). Shane A. Liddelow collaborates with scholars based in United States, Australia and Denmark. Shane A. Liddelow's co-authors include Ben A. Barres, Mariko L. Bennett, Norman R. Saunders, Katarzyna M. Dzięgielewska, Richard Daneman, Steven A. Sloan, Shuyun Deng, Kenian Chen, Christine Caneda and Hemali Phatnani and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Shane A. Liddelow

71 papers receiving 13.1k citations

Hit Papers

An RNA-Sequencing Transcriptome and Splicing Database of ... 2014 2026 2018 2022 2014 2017 2016 2018 2018 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex
    2014 3.6k citations Mariko L. Bennett, Shane A. Liddelow et al. profile →
  2. Reactive Astrocytes: Production, Function, and Therapeutic Potential
    2017 1.7k citations Shane A. Liddelow, Ben A. Barres Immunity profile →
  3. New tools for studying microglia in the mouse and human CNS
    2016 1.3k citations Mariko L. Bennett, F. Chris Bennett et al. Proceedings of the National Academy of Sciences profile →
  4. Normal aging induces A1-like astrocyte reactivity
    2018 899 citations Shane A. Liddelow, Alexandra E. Münch et al. Proceedings of the National Academy of Sciences profile →
  5. Astrocyte-derived interleukin-33 promotes microglial synapse engulfment and neural circuit development
    2018 464 citations Ilia D. Vainchtein, Gregory Chin et al. Science profile →
  6. Fragmented mitochondria released from microglia trigger A1 astrocytic response and propagate inflammatory neurodegeneration
    2019 415 citations Shane A. Liddelow et al. profile →
  7. Neurotoxic reactive astrocytes induce cell death via saturated lipids
    2021 361 citations Kevin A. Guttenplan, Maya K. Weigel et al. Nature profile →
  8. Neuroinflammatory astrocyte subtypes in the mouse brain
    2021 355 citations Philip Hasel, Indigo V.L. Rose et al. profile →
  9. Functional roles of reactive astrocytes in neuroinflammation and neurodegeneration
    2023 279 citations Shane A. Liddelow et al. profile →
  10. Astrocytes and oligodendrocytes undergo subtype-specific transcriptional changes in Alzheimer’s disease
    2022 207 citations Jessica S. Sadick, Michael R. O’Dea et al. Neuron profile →

Peers

Shane A. Liddelow
Josef Priller Germany
Elly M. Hol Netherlands
Marie‐Ève Tremblay Canada
Oleg Butovsky United States
Wolfgang J. Streit United States
Carlos Matute Spain
Manuel B. Graeber Germany
Cordian Beyer Germany
Robert Nitsch Germany
Mariko L. Bennett United States
Josef Priller Germany
Shane A. Liddelow
Citations per year, relative to Shane A. Liddelow Shane A. Liddelow (= 1×) peers Josef Priller

Countries citing papers authored by Shane A. Liddelow

Since Specialization
Citations

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

Fields of papers citing papers by Shane A. Liddelow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shane A. Liddelow. 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 Shane A. Liddelow. The network helps show where Shane A. Liddelow may publish in the future.

Co-authorship network of co-authors of Shane A. Liddelow

This figure shows the co-authorship network connecting the top 25 collaborators of Shane A. Liddelow. A scholar is included among the top collaborators of Shane A. Liddelow 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 Shane A. Liddelow. Shane A. Liddelow 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.
Cooper, Melissa, et al.. (2025). Astrocytes in the mouse brain respond bilaterally to unilateral retinal neurodegeneration. Proceedings of the National Academy of Sciences. 122(11). e2418249122–e2418249122. 3 indexed citations
2.
Gildea, Holly K. & Shane A. Liddelow. (2025). Mechanisms of astrocyte aging in reactivity and disease. Molecular Neurodegeneration. 20(1). 21–21. 14 indexed citations
3.
Münch, Alexandra E., Maya K. Weigel, K Inoue, et al.. (2024). Blocking of microglia-astrocyte proinflammatory signaling is beneficial following stroke. Frontiers in Molecular Neuroscience. 16. 1305949–1305949. 11 indexed citations
4.
Renz, Patricia, Valérie Haesler, Eric J. Huang, et al.. (2024). Neuroinflammatory reactive astrocyte formation correlates with adverse outcomes in perinatal white matter injury. Glia. 72(9). 1663–1673. 4 indexed citations
5.
Lopez-Lee, Chloe, Lay Kodama, Li Fan, et al.. (2024). Tlr7 drives sex differences in age- and Alzheimer’s disease–related demyelination. Science. 386(6725). eadk7844–eadk7844. 6 indexed citations
6.
Frazel, Paul W., Yunlu Zhu, Kyla R. Hamling, et al.. (2023). Determinants of motor neuron functional subtypes important for locomotor speed. Cell Reports. 42(9). 113049–113049. 16 indexed citations
7.
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 →
8.
Titus, Haley E., Huan Xu, Andrew P. Robinson, et al.. (2022). Repurposing the cardiac glycoside digoxin to stimulate myelin regeneration in chemically‐induced and immune‐mediated mouse models of multiple sclerosis. Glia. 70(10). 1950–1970. 12 indexed citations
9.
Saunders, Norman R., Katarzyna M. Dzięgielewska, Ryann M. Fame, Maria K. Lehtinen, & Shane A. Liddelow. (2022). The choroid plexus: a missing link in our understanding of brain development and function. Physiological Reviews. 103(1). 919–956. 61 indexed citations
10.
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
11.
Prakash, Priya, Krupal P. Jethava, Nils Korte, et al.. (2021). Monitoring phagocytic uptake of amyloid β into glial cell lysosomes in real time. Chemical Science. 12(32). 10901–10918. 25 indexed citations
12.
Liddelow, Shane A., et al.. (2021). Astrocytes have a license to kill inflammatory T cells. Immunity. 54(4). 614–616. 2 indexed citations
13.
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 →
14.
Hartmann, A., Diego Sepúlveda‐Falla, Indigo V.L. Rose, et al.. (2019). Complement 3+-astrocytes are highly abundant in prion diseases, but their abolishment led to an accelerated disease course and early dysregulation of microglia. Acta Neuropathologica Communications. 7(1). 83–83. 94 indexed citations
15.
Vainchtein, Ilia D., Gregory Chin, Frances S. Cho, et al.. (2018). Astrocyte-derived interleukin-33 promotes microglial synapse engulfment and neural circuit development. Science. 359(6381). 1269–1273. 464 indexed citations breakdown →
16.
Bennett, Mariko L., F. Chris Bennett, Shane A. Liddelow, et al.. (2016). New tools for studying microglia in the mouse and human CNS. Proceedings of the National Academy of Sciences. 113(12). E1738–46. 1298 indexed citations breakdown →
17.
Liddelow, Shane A.. (2015). Development of the choroid plexus and blood-CSF barrier. Frontiers in Neuroscience. 9. 32–32. 150 indexed citations
18.
Liddelow, Shane A., Sally Temple, Renate Gehwolf, et al.. (2012). Correction: Molecular Characterisation of Transport Mechanisms at the Developing Mouse Blood–CSF Interface: A Transcriptome Approach. PLoS ONE. 7(7). 10 indexed citations
19.
Ek, C. Joakim, et al.. (2010). Efflux mechanisms at the developing brain barriers: ABC-transporters in the fetal and postnatal rat. Toxicology Letters. 197(1). 51–59. 95 indexed citations
20.
Johansson, Pia A., Katarzyna M. Dzięgielewska, Shane A. Liddelow, & Norman R. Saunders. (2008). The blood–CSF barrier explained: when development is not immaturity. BioEssays. 30(3). 237–248. 124 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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