Jordan McAfoose

1.7k citations
12 papers · 1.3k indexed · 1 hit paper · h-index 12

Jordan McAfoose

12 papers receiving 1.3k citations

Hit Papers

Evidence for a cytokine model of cognitive function6072008202620142020200400600

Peers

Jordan McAfoose
Comparison fields: 5 of 116
  • Biological Psychiatry 347
  • Behavioral Neuroscience 221
  • Neurology 331
  • Developmental Neuroscience 64
  • Psychiatry and Mental health 216
Replace Koichi Kaneko with:
Koichi Kaneko Japan
Sarah M. Rothman United States
Helmut Vedder Germany
Michal Arad Israel
Pauline McHugh United States
Daimei Sasayama Japan
Harry Steinbusch Netherlands
Akitoyo Hishimoto Japan
Ana Pocivavsek United States
Cyril Rivat France
Jordan McAfoose relative to Koichi Kaneko Japan Koichi Kaneko's profile →
Citations per field
00.5×1.6×
Koichi Kaneko · 1×
Citations per year

Countries citing papers authored by Jordan McAfoose

Since Specialization
Citations

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

Fields of papers citing papers by Jordan McAfoose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 201858
2 201634
3 201517
4 201414
5 201223
6 201241
7 2010293
8 200938
9 200842
10 200841
11
Evidence for a cytokine model of cognitive functionbreakdown →
2008607
12 2007124

About Jordan McAfoose

Jordan McAfoose is a scholar working on Biological Psychiatry, Neurology and Behavioral Neuroscience, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Tryptophan and brain disorders (2 papers), Dementia and Cognitive Impairment Research (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Treatment of Major Depression (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Biological Psychiatry (347 citations), Behavioral Neuroscience (221 citations) and Neurology (331 citations). Jordan McAfoose has collaborated with scholars based in Switzerland, Australia and Germany. Frequent co-authors include Bernhard T. Baune, Frances Quirk, David A. Mitchell, Melissa Johnson, R Miller, Marlene Kenklies, Klaus Häger, J. Engel, Gerald Münch and B. Baune. Their work appears in journals such as Journal of Biological Chemistry, Neuroscience & Biobehavioral Reviews and Science Translational Medicine.

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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