Thomas Childs

413 citations
3 papers · 216 · 1 hit paper · h-index 3

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Tryptophan and brain disorders

Papers in

    • Neuroinflammation and Neurodegeneration Mechanisms 3
    • Long-Term Effects of COVID-19 1
    • Vagus Nerve Stimulation Research 1
    • Immune cells in cancer 1
    • Inflammation biomarkers and pathways 1
    • Immune Response and Inflammation 1

Thomas Childs

3 papers receiving 214 citations

Thomas Childs's Hit Papers

Perivascular cells induce microglial phagocytic states and synaptic engulfment via SPP1 in mouse models of Alzheimer’s disease 2023 · 145 citations
1450+1+2Years since publication4080120

Peers

Thomas Childs
Comparison fields: 5 of 55
  • Neurology 155
  • Biological Psychiatry 23
  • Developmental Neuroscience 19
  • Immunology 63
  • Physiology 75
Replace Gerard Crowley with:
Gerard Crowley United Kingdom
Javier Rueda‐Carrasco Spain
Dylan Garceau United States
Menbere Wendimu United States
Thuvarahan Jegathees Australia
Hyeon-Gu Yeo South Korea
Ivana Geric Belgium
Rabia R. Khawaja United States
Dimitra Sokolova United Kingdom
Junqiu Jia China
Thomas Childs relative to Gerard Crowley United Kingdom Gerard Crowley's profile →
Citations per field
00.5×1.5×
Gerard Crowley · 1×
Citations per year

Countries citing papers authored by Thomas Childs

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Childs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Thomas Childs, 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 Thomas Childs Line = papers co-authored together Thomas Childs links everyone, so they are left out of the graph.

All Works

About Thomas Childs

Thomas Childs is a scholar working on Neurology, Immunology, Neurology, Physiology and Infectious Diseases, having authored 3 papers that have together received 216 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Long-Term Effects of COVID-19 (1 paper), Vagus Nerve Stimulation Research (1 paper), Immune cells in cancer (1 paper), Inflammation biomarkers and pathways (1 paper), Immune Response and Inflammation (1 paper) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Neurology (155 citations), Biological Psychiatry (23 citations), Developmental Neuroscience (19 citations), Immunology (63 citations) and Physiology (75 citations). Thomas Childs has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include Dimitra Sokolova, Soyon Hong, Christina E. Toomey, Gerard Crowley, Sebastiaan De Schepper, Tammaryn Lashley, Javier Rueda‐Carrasco, Sun‐Hye Shin, Dylan Garceau and Laís S. S. Ferreira. Their work appears in journals such as The EMBO Journal, Nature Neuroscience and PubMed.

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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