Prerona Mukherjee

459 total citations
20 papers, 350 citations indexed

About

Prerona Mukherjee is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Prerona Mukherjee has authored 20 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 10 papers in Psychiatry and Mental health and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Prerona Mukherjee's work include Functional Brain Connectivity Studies (11 papers), Attention Deficit Hyperactivity Disorder (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Prerona Mukherjee is often cited by papers focused on Functional Brain Connectivity Studies (11 papers), Attention Deficit Hyperactivity Disorder (6 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Prerona Mukherjee collaborates with scholars based in United States, United Kingdom and Netherlands. Prerona Mukherjee's co-authors include Heather C. Whalley, Stephen M. Lawrie, Jérémy Hall, Andrew M. McIntosh, Julie B. Schweitzer, James McKirdy, Catherine Fassbender, Eve C. Johnstone, Andrew W. Young and Reiner Sprengelmeyer and has published in prestigious journals such as NeuroImage, Biological Psychiatry and Journal of Abnormal Psychology.

In The Last Decade

Prerona Mukherjee

20 papers receiving 349 citations

Peers

Prerona Mukherjee
Sara Ambrosino Netherlands
Viola Oertel Germany
Jessica P.Y. Hua United States
Lise Docx Belgium
Max de Leeuw Netherlands
Prerona Mukherjee
Citations per year, relative to Prerona Mukherjee Prerona Mukherjee (= 1×) peers Pauline Favre

Countries citing papers authored by Prerona Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Prerona Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prerona Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Prerona Mukherjee. A scholar is included among the top collaborators of Prerona Mukherjee 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 Prerona Mukherjee. Prerona Mukherjee 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
1.
Singh, Manpreet K., et al.. (2025). A novel framework to predict ADHD symptoms using irritability in adolescents and young adults with and without ADHD. Frontiers in Psychiatry. 15. 1467486–1467486. 1 indexed citations
2.
Iosif, Ana‐Maria, et al.. (2023). Using Hot and Cool Measures to Phenotype and Predict Functional Outcomes Across Dimensions of ADHD and Typical Development in Adolescents. Research on Child and Adolescent Psychopathology. 52(4). 579–593. 5 indexed citations
3.
Mukherjee, Prerona, et al.. (2022). Ribonucleotide reductase: Implications of thiol S-nitrosylation and tyrosine nitration for different subunits. Nitric Oxide. 127. 26–43. 4 indexed citations
4.
Mukherjee, Prerona, Ana‐Maria Iosif, J. Faye Dixon, et al.. (2021). Neural basis of working memory in ADHD: Load versus complexity. NeuroImage Clinical. 30. 102662–102662. 16 indexed citations
5.
D’Ardenne, Kimberlee, et al.. (2021). Limbic and Executive Meso- and Nigrostriatal Tracts Predict Impulsivity Differences in Attention-Deficit/Hyperactivity Disorder. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 7(4). 415–423. 16 indexed citations
6.
Mukherjee, Prerona, Veronika Vilgis, Shawn A Rhoads, et al.. (2021). Associations of Irritability With Functional Connectivity of Amygdala and Nucleus Accumbens in Adolescents and Young Adults With ADHD. Journal of Attention Disorders. 26(7). 1040–1050. 14 indexed citations
7.
Kahle, Sarah, Prerona Mukherjee, J. Faye Dixon, et al.. (2020). Irritability Predicts Hyperactive/Impulsive Symptoms Across Adolescence for Females. Research on Child and Adolescent Psychopathology. 49(2). 185–196. 8 indexed citations
8.
Fassbender, Catherine, Prerona Mukherjee, & Julie B. Schweitzer. (2017). Minimizing noise in pediatric task-based functional MRI; Adolescents with developmental disabilities and typical development. NeuroImage. 149. 338–347. 21 indexed citations
9.
Fassbender, Catherine, Prerona Mukherjee, & Julie B. Schweitzer. (2017). Reprint of: Minimizing noise in pediatric task-based functional MRI; Adolescents with developmental disabilities and typical development. NeuroImage. 154. 230–239. 9 indexed citations
10.
Kotov, Roman, et al.. (2016). Transdiagnostic neural markers of emotion–cognition interaction in psychotic disorders.. Journal of Abnormal Psychology. 125(7). 907–922. 11 indexed citations
11.
Mukherjee, Prerona, et al.. (2016). Disconnection Between Amygdala and Medial Prefrontal Cortex in Psychotic Disorders. Schizophrenia Bulletin. 42(4). 1056–1067. 37 indexed citations
12.
Mukherjee, Prerona, Heather C. Whalley, James McKirdy, et al.. (2013). Altered Amygdala Connectivity Within the Social Brain in Schizophrenia. Schizophrenia Bulletin. 40(1). 152–160. 66 indexed citations
13.
Dauvermann, Maria R., Prerona Mukherjee, Andrew C. Stanfield, et al.. (2012). Relationship Between Gyrification and Functional Connectivity of the Prefrontal Cortex in Subjects at High Genetic Risk of Schizophrenia. Current Pharmaceutical Design. 18(4). 434–442. 34 indexed citations
14.
Whalley, Heather C., Jessika E. Sussmann, Mandy Johnstone, et al.. (2012). Effects of a mis‐sense DISC1 variant on brain activation in two cohorts at high risk of bipolar disorder or schizophrenia. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 159B(3). 343–353. 12 indexed citations
15.
O’Connell, Garret, Heather C. Whalley, Prerona Mukherjee, et al.. (2012). Association of Genetic Variation in the Promoter Region of OXTR with Differences in Social Affective Neural Processing. Journal of Behavioral and Brain Science. 2(1). 60–66. 14 indexed citations
16.
Mukherjee, Prerona, Heather C. Whalley, James McKirdy, et al.. (2011). Effects of the BDNF Val66Met polymorphism on neural responses to facial emotion. Psychiatry Research Neuroimaging. 191(3). 182–188. 27 indexed citations
17.
Mukherjee, Prerona, Heather C. Whalley, James McKirdy, et al.. (2011). Lower effective connectivity between amygdala and parietal regions in response to fearful faces in schizophrenia. Schizophrenia Research. 134(2-3). 118–124. 39 indexed citations
18.
Sprooten, Emma, Liana Romaniuk, Stephen Giles, et al.. (2009). Fronto-Temporal Connectivity in Bipolar Disorder and Schizophrenia Related to Auditory Verbal Hallucinations. Biological Psychiatry. 65(8). 1 indexed citations
19.
Whalley, Heather C., J. Douglas Steele, Prerona Mukherjee, et al.. (2009). Connecting the Brain and New Drug Targets for Schizophrenia. Current Pharmaceutical Design. 15(22). 2615–2631. 13 indexed citations
20.
Sprooten, Emma, Liana Romaniuk, Sally Giles, et al.. (2009). Fronto-temporal Connectivity in Bipolar Disorder and Schizophrenia Related to Auditory Verbal Hallucinations. NeuroImage. 47. S135–S135. 2 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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