Johan Alsiö

2.8k total citations
43 papers, 2.0k citations indexed

About

Johan Alsiö is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Johan Alsiö has authored 43 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cellular and Molecular Neuroscience, 17 papers in Cognitive Neuroscience and 13 papers in Molecular Biology. Recurrent topics in Johan Alsiö's work include Neurotransmitter Receptor Influence on Behavior (17 papers), Memory and Neural Mechanisms (15 papers) and Neuroscience and Neuropharmacology Research (11 papers). Johan Alsiö is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (17 papers), Memory and Neural Mechanisms (15 papers) and Neuroscience and Neuropharmacology Research (11 papers). Johan Alsiö collaborates with scholars based in United Kingdom, Sweden and United States. Johan Alsiö's co-authors include Helgi B. Schiöth, Simon Nilsson, Pawel K. Olszewski, Allen S. Levine, Lisa M. Saksida, Timothy J. Bussey, Chi Hun Kim, Alexa E. Horner, Andrew Holmes and Brianne A. Kent and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Brain Research.

In The Last Decade

Johan Alsiö

41 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Johan Alsiö 678 549 526 294 283 43 2.0k
Elena Martín‐García 1.0k 1.5× 734 1.3× 346 0.7× 287 1.0× 252 0.9× 70 2.4k
Julie Le Merrer 1.1k 1.7× 1.0k 1.8× 411 0.8× 202 0.7× 359 1.3× 38 2.2k
Martin Darvas 1.1k 1.6× 747 1.4× 771 1.5× 308 1.0× 331 1.2× 60 2.3k
Evan H Goulding 954 1.4× 955 1.7× 277 0.5× 502 1.7× 502 1.8× 28 2.4k
Hiromasa Funato 607 0.9× 809 1.5× 804 1.5× 610 2.1× 557 2.0× 76 2.7k
Amul J. Sakharkar 736 1.1× 926 1.7× 269 0.5× 337 1.1× 353 1.2× 60 2.2k
Claudette Boni 1.2k 1.8× 817 1.5× 237 0.5× 164 0.6× 259 0.9× 44 2.4k
Daniel J. Christoffel 940 1.4× 523 1.0× 561 1.1× 211 0.7× 234 0.8× 23 2.2k
Maureen P. Boyle 508 0.7× 496 0.9× 612 1.2× 498 1.7× 244 0.9× 9 2.2k
Marta Miquel 1.2k 1.7× 434 0.8× 437 0.8× 278 0.9× 168 0.6× 70 2.0k

Countries citing papers authored by Johan Alsiö

Since Specialization
Citations

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

Fields of papers citing papers by Johan Alsiö

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Alsiö

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Alsiö. A scholar is included among the top collaborators of Johan Alsiö based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johan Alsiö. Johan Alsiö is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Zhukovsky, Peter, Thorsten Lamla, Wiebke Nissen, et al.. (2024). Optogenetic activation of mesencephalic projections to the nucleus accumbens shell impairs probabilistic reversal learning by disrupting learning from negative reinforcement. European Journal of Neuroscience. 60(11). 6765–6778. 2 indexed citations
3.
Wood, Christian M., Laith Alexander, Johan Alsiö, et al.. (2023). Chemogenetics identifies separate area 25 brain circuits involved in anhedonia and anxiety in marmosets. Science Translational Medicine. 15(690). eade1779–eade1779. 15 indexed citations
4.
Luo, Qiang, Jonathan W. Kanen, Andrea Bari, et al.. (2023). Comparable roles for serotonin in rats and humans for computations underlying flexible decision-making. Neuropsychopharmacology. 49(3). 600–608. 11 indexed citations
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Zhukovsky, Peter, Mickaël Puaud, Bianca Jupp, et al.. (2019). Withdrawal from escalated cocaine self-administration impairs reversal learning by disrupting the effects of negative feedback on reward exploitation: a behavioral and computational analysis. Neuropsychopharmacology. 44(13). 2163–2173. 22 indexed citations
7.
Phillips, Benjamin U., Simon Nilsson, Trevor W. Robbins, et al.. (2018). Selective effects of 5-HT2C receptor modulation on performance of a novel valence-probe visual discrimination task and probabilistic reversal learning in mice. Psychopharmacology. 235(7). 2101–2111. 24 indexed citations
8.
Mar, Adam C., Simon Nilsson, Ming Lei, et al.. (2017). MAM-E17 rat model impairments on a novel continuous performance task: effects of potential cognitive enhancing drugs. Psychopharmacology. 234(19). 2837–2857. 24 indexed citations
9.
Feltmann, Kristin, Chiara Giuliano, Barry J. Everitt, Pia Steensland, & Johan Alsiö. (2017). The Effects of the Monoamine Stabilizer (−)-OSU6162 on Binge-Like Eating and Cue-Controlled Food-Seeking Behavior in Rats. Neuropsychopharmacology. 43(3). 617–626. 9 indexed citations
10.
Alsiö, Johan, Bianca Jupp, Saurav Shrestha, et al.. (2015). Markers of Serotonergic Function in the Orbitofrontal Cortex and Dorsal Raphé Nucleus Predict Individual Variation in Spatial-Discrimination Serial Reversal Learning. Neuropsychopharmacology. 40(7). 1619–1630. 52 indexed citations
11.
Caruso, Vanni, Madeleine Le Grevès, Tatjana Haitina, et al.. (2015). The Orphan G Protein-Coupled Receptor Gene GPR178 Is Evolutionary Conserved and Altered in Response to Acute Changes in Food Intake. PLoS ONE. 10(6). e0122061–e0122061. 12 indexed citations
12.
Alsiö, Johan, Mathias Rask‐Andersen, Pawel K. Olszewski, et al.. (2013). Exposure to a high-fat high-sugar diet causes strong up-regulation of proopiomelanocortin and differentially affects dopamine D1 and D2 receptor gene expression in the brainstem of rats. Neuroscience Letters. 559. 18–23. 15 indexed citations
13.
Mar, Adam C., Alexa E. Horner, Simon Nilsson, et al.. (2013). The touchscreen operant platform for assessing executive function in rats and mice. Nature Protocols. 8(10). 1985–2005. 194 indexed citations
14.
Olszewski, Pawel K., Johan Alsiö, Helgi B. Schiöth, & Allen S. Levine. (2011). Opioids as facilitators of feeding: Can any food be rewarding?. Physiology & Behavior. 104(1). 105–110. 37 indexed citations
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Alsiö, Johan, et al.. (2009). Impact of Nandrolone Decanoate on Gene Expression in Endocrine Systems Related to the Adverse Effects of Anabolic Androgenic Steroids. Basic & Clinical Pharmacology & Toxicology. 105(5). 307–314. 34 indexed citations
17.
Olszewski, Pawel K., Robert Fredriksson, Agnieszka Olszewska, et al.. (2009). Hypothalamic FTO is associated with the regulation of energy intake not feeding reward. BMC Neuroscience. 10(1). 129–129. 100 indexed citations
18.
Pickering, Chris, Johan Alsiö, Anna‐Lena Hulting, & Helgi B. Schiöth. (2009). Withdrawal from free-choice high-fat high-sugar diet induces craving only in obesity-prone animals. Psychopharmacology. 204(3). 431–443. 60 indexed citations
19.
Haitina, Tatjana, Fredrik Olsson, Olga Stephansson, et al.. (2008). Expression profile of the entire family of AdhesionG protein-coupled receptors in mouse and rat. BMC Neuroscience. 9(1). 43–43. 54 indexed citations
20.
Birgner, Carolina, Lars Oreland, Johan Alsiö, et al.. (2008). Reduced activity of monoamine oxidase in the rat brain following repeated nandrolone decanoate administration. Brain Research. 1219. 103–110. 22 indexed citations

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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