Pias Malaker

501 total citations
16 papers, 317 citations indexed

About

Pias Malaker is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Pias Malaker has authored 16 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Pias Malaker's work include Neural and Behavioral Psychology Studies (11 papers), Neurotransmitter Receptor Influence on Behavior (10 papers) and Functional Brain Connectivity Studies (6 papers). Pias Malaker is often cited by papers focused on Neural and Behavioral Psychology Studies (11 papers), Neurotransmitter Receptor Influence on Behavior (10 papers) and Functional Brain Connectivity Studies (6 papers). Pias Malaker collaborates with scholars based in United States, Brazil and United Kingdom. Pias Malaker's co-authors include Rita Z. Goldstein, Nelly Alia‐Klein, Muhammad A. Parvaz, Scott J. Moeller, Anna B. Konova, Jonathan P. Dunning, Greg Hajcak, Pierre‐Olivier Gaudreault, Anna Zilverstand and Rajita Sinha and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.

In The Last Decade

Pias Malaker

16 papers receiving 314 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pias Malaker United States 12 201 141 78 49 35 16 317
Ahmet O. Ceceli United States 9 219 1.1× 110 0.8× 113 1.4× 51 1.0× 29 0.8× 24 363
Alexander Genauck Germany 5 180 0.9× 135 1.0× 63 0.8× 59 1.2× 31 0.9× 7 305
Joris A. Elshout Netherlands 8 199 1.0× 68 0.5× 47 0.6× 25 0.5× 27 0.8× 16 296
Jianguang Zeng China 7 203 1.0× 92 0.7× 77 1.0× 53 1.1× 81 2.3× 20 364
Christiane K. Gawron Germany 6 196 1.0× 106 0.8× 135 1.7× 70 1.4× 31 0.9× 7 347
Tianye Zhai United States 10 223 1.1× 60 0.4× 113 1.4× 22 0.4× 31 0.9× 18 308
Nikki Hozack United States 5 383 1.9× 141 1.0× 99 1.3× 49 1.0× 92 2.6× 5 524
Verónica Mäki-Marttunen Norway 11 246 1.2× 55 0.4× 41 0.5× 23 0.5× 40 1.1× 22 359
Jessica S. Flannery United States 8 190 0.9× 47 0.3× 66 0.8× 28 0.6× 37 1.1× 21 299
Olivia Plant United Kingdom 11 192 1.0× 70 0.5× 76 1.0× 16 0.3× 86 2.5× 14 342

Countries citing papers authored by Pias Malaker

Since Specialization
Citations

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

Fields of papers citing papers by Pias Malaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pias Malaker

This figure shows the co-authorship network connecting the top 25 collaborators of Pias Malaker. A scholar is included among the top collaborators of Pias Malaker 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 Pias Malaker. Pias Malaker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Massey, Zachary B., et al.. (2024). Analysing media portrayals of people with substance use disorder and addiction: A scoping review. PubMed. 7(2_suppl). 126–141. 1 indexed citations
2.
Zilverstand, Anna, Muhammad A. Parvaz, Scott J. Moeller, et al.. (2023). Whole-brain resting-state connectivity underlying impaired inhibitory control during early versus longer-term abstinence in cocaine addiction. Molecular Psychiatry. 28(8). 3355–3364. 10 indexed citations
3.
Huang, Yuefeng, Ahmet O. Ceceli, Greg Kronberg, et al.. (2023). Association of Cortico-Striatal Engagement During Cue Reactivity, Reappraisal, and Savoring of Drug and Non-Drug Stimuli With Craving in Heroin Addiction. American Journal of Psychiatry. 181(2). 153–165. 24 indexed citations
4.
Ceceli, Ahmet O., et al.. (2022). Altered prefrontal signaling during inhibitory control in a salient drug context in cocaine use disorder. Cerebral Cortex. 33(3). 597–611. 12 indexed citations
5.
Ceceli, Ahmet O., Yuefeng Huang, Greg Kronberg, et al.. (2022). Common and distinct fronto-striatal volumetric changes in heroin and cocaine use disorders. Brain. 146(4). 1662–1671. 17 indexed citations
6.
Gaudreault, Pierre‐Olivier, et al.. (2022). Whole-brain white matter abnormalities in human cocaine and heroin use disorders: association with craving, recency, and cumulative use. Molecular Psychiatry. 28(2). 780–791. 15 indexed citations
7.
Gaudreault, Pierre‐Olivier, et al.. (2022). Prefrontal-habenular microstructural impairments in human cocaine and heroin addiction. Neuron. 110(22). 3820–3832.e4. 14 indexed citations
8.
Gaudreault, Pierre‐Olivier, et al.. (2022). Prefrontal-Habenular Microstructural Impairments in Human Cocaine and Heroin Addiction. SSRN Electronic Journal. 1 indexed citations
9.
Gaudreault, Pierre‐Olivier, Abhishek Datta, Ester Miyuki Nakamura-Palacios, et al.. (2021). A double‐blind sham‐controlled phase 1 clinical trial of tDCS of the dorsolateral prefrontal cortex in cocaine inpatients: Craving, sleepiness, and contemplation to change. European Journal of Neuroscience. 53(9). 3212–3230. 19 indexed citations
10.
Parvaz, Muhammad A., Pias Malaker, Anna Zilverstand, et al.. (2021). Attention bias modification in drug addiction: Enhancing control of subsequent habits. Proceedings of the National Academy of Sciences. 118(23). 20 indexed citations
11.
Moeller, Scott J., Prantik Kundu, Keren Bachi, et al.. (2020). Self-awareness of problematic drug use: Preliminary validation of a new fMRI task to assess underlying neurocircuitry. Drug and Alcohol Dependence. 209. 107930–107930. 9 indexed citations
12.
Parvaz, Muhammad A., Scott J. Moeller, Pias Malaker, et al.. (2017). Abstinence reverses EEG-indexed attention bias between drug-related and pleasant stimuli in cocaine-addicted individuals. Journal of Psychiatry and Neuroscience. 42(2). 78–86. 39 indexed citations
13.
Parvaz, Muhammad A., Vilma Gabbay, Pias Malaker, & Rita Z. Goldstein. (2016). Objective and specific tracking of anhedonia via event-related potentials in individuals with cocaine use disorders. Drug and Alcohol Dependence. 164. 158–165. 14 indexed citations
14.
Moeller, Scott J., Stephen M. Fleming, Gabriela Gan, et al.. (2016). Metacognitive impairment in active cocaine use disorder is associated with individual differences in brain structure. European Neuropsychopharmacology. 26(4). 653–662. 36 indexed citations
15.
Parvaz, Muhammad A., Anna B. Konova, Greg Hajcak, et al.. (2015). Impaired Neural Response to Negative Prediction Errors in Cocaine Addiction. Journal of Neuroscience. 35(5). 1872–1879. 73 indexed citations
16.
Parvaz, Muhammad A., Thomas Maloney, Scott J. Moeller, et al.. (2014). Multimodal evidence of regional midcingulate gray matter volume underlying conflict monitoring. NeuroImage Clinical. 5. 10–18. 13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026