Jon Reed

956 citations
24 papers · 788 · h-index 16

Impact in

    • Fibromyalgia and Chronic Fatigue Syndrome Research
  • Neurology top 10%
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Metabolomics and Mass Spectrometry Studies 4
    • Mitochondrial Function and Pathology 3
    • S100 Proteins and Annexins 2
    • Alzheimer's disease research and treatments 5

Jon Reed

24 papers receiving 761 citations

Peers

Jon Reed
Comparison fields: 5 of 110
  • Psychiatry and Mental health 166
  • Neurology 160
  • Neurology 89
  • Biological Psychiatry 23
  • Developmental Neuroscience 33
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Countries citing papers authored by Jon Reed

Since Specialization
Citations

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

Fields of papers citing papers by Jon Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jon Reed, 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 Jon Reed Line = papers co-authored together Jon Reed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1967121
2 201571
3 201466
4 201160
5 201156
6 201653
7 201249
8 201544
9 201643
10 201038
11 201729
12 201629
13 201125
14 201723
15 201322
16 200919
17 200714
18 19948
19 20207
20 20194

About Jon Reed

Jon Reed is a scholar working on Molecular Biology, Physiology, Psychiatry and Mental health, Neurology and Pharmacology, having authored 24 papers that have together received 788 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Mitochondrial Function and Pathology (3 papers), S100 Proteins and Annexins (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Psychiatry and Mental health (166 citations), Neurology (160 citations), Neurology (89 citations), Biological Psychiatry (23 citations) and Developmental Neuroscience (33 citations). Jon Reed has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Michael Mullan, Fiona Crawford, Nils Aall Barricelli, Gogce Crynen, Laila Abdullah, Ghania Ait‐Ghezala, Benoit Mouzon, Corbin Bachmeier, Venkatarajan S. Mathura and Scott Ferguson. Their work appears in journals such as NeuroMolecular Medicine, PLoS ONE, Alzheimer s & Dementia, European Journal of Pharmacology and Journal of Neurotrauma.

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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