Pia Bäckström

1.3k citations
23 papers · 1.0k · h-index 14

Impact in

Papers in

Pia Bäckström

23 papers receiving 1.0k citations

Peers

Pia Bäckström
Comparison fields: 5 of 64
  • Cellular and Molecular Neuroscience 807
  • Behavioral Neuroscience 52
  • Cognitive Neuroscience 209
  • Biological Psychiatry 25
  • Molecular Biology 390
Replace Eric Augier with:
Eric Augier Sweden
Gillian F. O’Meara United Kingdom
Mufida El-Ghundi Canada
Rubing Zhao-Shea United States
Andrea Hetzel United States
Karina Possa Abrahao Brazil
H E Criswell United States
Stephanie C. Gantz United States
Roland Bock United States
Geraldine Brown United Kingdom
Pia Bäckström relative to Eric Augier Sweden Eric Augier's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pia Bäckström

Since Specialization
Citations

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

Fields of papers citing papers by Pia Bäckström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pia Bäckström, 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 Pia Bäckström Line = papers co-authored together Pia Bäckström 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 2003214
2 2005150
3 2007139
4 2005112
5 2004108
6 200151
7 199949
8 198242
9 200333
10 200122
11 200317
12 201717
13 201315
14 201214
15 201512
16 201611
17 20197
18 20186
19
Accumbal mu-Opioid Receptors Modulate Ethanol Intake in Alcohol-Preferring Alko Alcohol Rats
20162
20 20202

About Pia Bäckström

Pia Bäckström is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Physiology and Clinical Psychology, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (18 papers), Neuroscience and Neuropharmacology Research (9 papers), Receptor Mechanisms and Signaling (8 papers), Memory and Neural Mechanisms (3 papers), Neuropeptides and Animal Physiology (2 papers), Adipose Tissue and Metabolism (2 papers), Behavioral Health and Interventions (1 paper) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (807 citations), Behavioral Neuroscience (52 citations), Cognitive Neuroscience (209 citations), Biological Psychiatry (25 citations) and Molecular Biology (390 citations). Pia Bäckström has collaborated with scholars based in Finland, United States and Sweden. Frequent co-authors include Petri Hyytiä, Rainer Spanagel, Sabrina Koch, Daniel Bachteler, Sture Liljequist, Konstantinos Mandroukas, Kalervo Kiianmaa, M Krotkiewski, Andrey E. Ryabinin and Adam Z. Weitemier. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Psychopharmacology, Neuropsychopharmacology, European Journal of Pharmacology and British Journal Of Nutrition.

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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