Mia Ericson

4.1k citations
103 papers · 3.2k indexed · h-index 32

Impact in

Papers in

Mia Ericson

101 papers receiving 3.1k citations

Peers

Mia Ericson
Comparison fields: 5 of 111
  • Cellular and Molecular Neuroscience 2.2k
  • Biological Psychiatry 79
  • Molecular Biology 1.9k
  • Endocrine and Autonomic Systems 175
  • Behavioral Neuroscience 78
Replace Kari J. Buck with:
Kari J. Buck United States
Margaret E. Gnegy United States
T. A. Branchek United States
Nika Adham United States
Maria Collu Italy
Dominique Filliol France
R. Suzanne Zukin United States
Daniel W. Wesson United States
Scott E. Hemby United States
Beth Borowsky United States
Mia Ericson relative to Kari J. Buck United States Kari J. Buck's profile →
Citations per field
00.5×5.9×
Kari J. Buck · 1×
Citations per year

Countries citing papers authored by Mia Ericson

Since Specialization
Citations

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

Fields of papers citing papers by Mia Ericson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20232
3 20234
4 20233
5 20232
6 20232
7 202227
8 20224
9 202130
10 202011
11 201916
12 201915
13 201811
14 201710
15 201713
16 201520
17 201139
18 2009103
19 200942
20 200857

About Mia Ericson

Mia Ericson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Endocrine and Autonomic Systems and Pharmacology, having authored 103 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (82 papers), Neuroscience and Neuropharmacology Research (55 papers), Receptor Mechanisms and Signaling (44 papers), Nicotinic Acetylcholine Receptors Study (27 papers), Aldose Reductase and Taurine (8 papers), Cannabis and Cannabinoid Research (8 papers), Memory and Neural Mechanisms (8 papers) and Prenatal Substance Exposure Effects (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Biological Psychiatry (79 citations), Molecular Biology (1.9k citations), Endocrine and Autonomic Systems (175 citations) and Behavioral Neuroscience (78 citations). Mia Ericson has collaborated with scholars based in Sweden, United Kingdom and United States. Frequent co-authors include Bo Söderpalm, Jörgen A. Engel, Ola Blomqvist, Elin Löf, Louise Adermark, Rosita Stomberg, Bo Söderpalm, Anna Molander, Helga Lidö and Lars Rask. Their work appears in journals such as Addiction Biology, Alcoholism Clinical and Experimental Research, Journal of Neural Transmission, European Journal of Pharmacology and Neuropharmacology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026