Marie Eikemo

1.2k citations
27 papers · 820 · h-index 13

Impact in

Papers in

Marie Eikemo

26 papers receiving 802 citations

Peers

Marie Eikemo
Comparison fields: 5 of 82
  • Behavioral Neuroscience 55
  • Experimental and Cognitive Psychology 197
  • Cognitive Neuroscience 281
  • Sensory Systems 42
  • Cellular and Molecular Neuroscience 155
Replace Vanda Faria with:
Vanda Faria Sweden
Guro Engvig Løseth Norway
Sara V. Tupak Germany
Marianne Cumella Reddan United States
Arielle D. Stanford United States
Catrin Wielpuetz Germany
Stephanie Nicole Lyn Schmidt Germany
Haggai Sharon Israel
Jennifer Holmes United States
Jooyeon Jamie Im South Korea
Marie Eikemo relative to Vanda Faria Sweden Vanda Faria's profile →
Citations per field
00.5×1.5×
Vanda Faria · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014134
2 2020116
3 201991
4 201388
5 201667
6 201961
7 201734
8 202132
9 202130
10 201630
11 201926
12 202220
13 202214
14 201813
15 201913
16 20239
17 20218
18 20247
19 20217
20 20214

About Marie Eikemo

Marie Eikemo is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Public Health, Environmental and Occupational Health, Experimental and Cognitive Psychology and Behavioral Neuroscience, having authored 27 papers that have together received 820 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Opioid Use Disorder Treatment (5 papers), Neuroendocrine regulation and behavior (4 papers), Pain Management and Placebo Effect (3 papers), Stress Responses and Cortisol (3 papers), Maternal Mental Health During Pregnancy and Postpartum (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Behavioral Neuroscience (55 citations), Experimental and Cognitive Psychology (197 citations), Cognitive Neuroscience (281 citations), Sensory Systems (42 citations) and Cellular and Molecular Neuroscience (155 citations). Marie Eikemo has collaborated with scholars based in Norway, Sweden and United States. Frequent co-authors include Siri Leknes, Guro Engvig Løseth, Frode Willoch, Henk van Steenbergen, Bruno Laeng, Eric L. Garland, Olga Chelnokova, Gernot Ernst, Elisabeth R. Paul and Sara Liane Kroll. Their work appears in journals such as Neuropsychopharmacology, Psychoneuroendocrinology, Social Cognitive and Affective Neuroscience, JAMA Network Open and Psychopharmacology.

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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