Marie Eikemo

1.1k citations
23 papers · 593 indexed · h-index 13

Impact in

Papers in

Marie Eikemo

23 papers receiving 582 citations

Peers

Marie Eikemo
Comparison fields: 5 of 82
  • Experimental and Cognitive Psychology 189
  • Behavioral Neuroscience 46
  • Cognitive Neuroscience 224
  • Cellular and Molecular Neuroscience 130
  • Social Psychology 127
Replace Matthew G. Whalley with:
Matthew G. Whalley United Kingdom
Leanne Trick United Kingdom
John Giordano United States
Haggai Sharon Israel
Ciarán Corcoran Ireland
Scott W Woods United States
Aidan Makwana United Kingdom
Jorge J. González‐Olvera Mexico
Kathleen E. Hazlett United States
Edward J. Modestino United States
Marie Eikemo relative to Matthew G. Whalley United Kingdom Matthew G. Whalley's profile →
Citations per field
00.5×
Matthew G. Whalley · 1×
Citations per year

Countries citing papers authored by Marie Eikemo

Since Specialization
Citations

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

Fields of papers citing papers by Marie Eikemo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202095
2 201983
3 201382
4 201659
5 201952
6 201630
7 202130
8 201729
9 202125
10 201925
11 202216
12 201912
13 201812
14 20228
15 20216
16 20236
17 20245
18 20214
19 20234
20 20243

About Marie Eikemo

Marie Eikemo is a scholar working on Public Health, Environmental and Occupational Health, Cellular and Molecular Neuroscience, Physiology, Social Psychology and Cognitive Neuroscience, having authored 23 papers that have together received 593 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (7 papers), Opioid Use Disorder Treatment (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Neuropeptides and Animal Physiology (4 papers), Pain Management and Opioid Use (3 papers), Anesthesia and Pain Management (3 papers), Receptor Mechanisms and Signaling (3 papers) and Neuroendocrine regulation and behavior (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (189 citations), Behavioral Neuroscience (46 citations), Cognitive Neuroscience (224 citations), Cellular and Molecular Neuroscience (130 citations) and Social Psychology (127 citations). Marie Eikemo has collaborated with scholars based in Norway, Sweden and United States. Frequent co-authors include Siri Leknes, Guro Engvig Løseth, Henk van Steenbergen, Eric L. Garland, Frode Willoch, Gernot Ernst, Bruno Laeng, Johan Wessberg, Tor Endestad and Håkan Olausson. Their work appears in journals such as Neuropsychopharmacology, Psychoneuroendocrinology, Social Cognitive and Affective Neuroscience, Current Addiction Reports and Biological Psychiatry.

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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