Julia Aram

1.9k citations
13 papers · 853 indexed · h-index 10

Julia Aram

12 papers receiving 817 citations

Peers

Julia Aram
Comparison fields: 5 of 88
  • Cellular and Molecular Neuroscience 538
  • Pharmacology 297
  • Toxicology 44
  • Psychiatry and Mental health 131
  • Cognitive Neuroscience 150
Replace Tokutaro Komiyama with:
Tokutaro Komiyama Japan
Lise T. Brennum Denmark
Karen Groshan United States
Penny G. Threlkeld United States
C. Brazell United Kingdom
E. A. Singer Austria
Salvador Sierra United States
Kimberly R. Moore United States
Kathy M. O’Boyle Ireland
Joyonna Gamble‐George United States
Julia Aram relative to Tokutaro Komiyama Japan Tokutaro Komiyama's profile →
Citations per field
00.5×1.5×2.3×
Tokutaro Komiyama · 1×
Citations per year

Countries citing papers authored by Julia Aram

Since Specialization
Citations

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

Fields of papers citing papers by Julia Aram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

13 of 13 papers shown
#Work
1 201911
2 201726
3 20177
4 20140
5 20102
6 2003322
7 199161
8 198988
9 198893
10 198892
11 198842
12 198822
13 198787

About Julia Aram

Julia Aram is a scholar working on Cellular and Molecular Neuroscience, Psychiatry and Mental health, Parasitology, Obstetrics and Gynecology and Cognitive Neuroscience, having authored 13 papers that have together received 853 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Epilepsy research and treatment (5 papers), Ion channel regulation and function (4 papers), Pharmacological Receptor Mechanisms and Effects (2 papers), Neuroscience and Neural Engineering (2 papers), Pregnancy and preeclampsia studies (1 paper), Leptospirosis research and findings (1 paper) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (538 citations), Pharmacology (297 citations), Toxicology (44 citations), Psychiatry and Mental health (131 citations) and Cognitive Neuroscience (150 citations). Julia Aram has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include David Lodge, Petra Mäkelä, Derick T Wade, Philip Robson, Heather House, David Martin, D Lodge, John D. Millar, David Lodge and Hillary B. Michelson. Their work appears in journals such as Journal of Neurology Neurosurgery & Psychiatry, Journal of Pharmacology and Experimental Therapeutics, Journal of Neurophysiology, EBioMedicine and Epilepsy Research.

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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