Nanfang Pan

1.3k total citations
43 papers, 769 citations indexed

About

Nanfang Pan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Psychiatry and Mental health. According to data from OpenAlex, Nanfang Pan has authored 43 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 25 papers in Experimental and Cognitive Psychology and 15 papers in Psychiatry and Mental health. Recurrent topics in Nanfang Pan's work include Functional Brain Connectivity Studies (30 papers), Mental Health Research Topics (18 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers). Nanfang Pan is often cited by papers focused on Functional Brain Connectivity Studies (30 papers), Mental Health Research Topics (18 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (8 papers). Nanfang Pan collaborates with scholars based in China, United Kingdom and United States. Nanfang Pan's co-authors include Qiyong Gong, Song Wang, Xun Zhang, Xueling Suo, Graham J. Kemp, Kun Qin, Han Lai, Yajun Zhao, John A. Sweeney and Xun Yang and has published in prestigious journals such as NeuroImage, Biological Psychiatry and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Nanfang Pan

40 papers receiving 764 citations

Peers

Nanfang Pan
Jun Cao China
Nanfang Pan
Citations per year, relative to Nanfang Pan Nanfang Pan (= 1×) peers Jun Cao

Countries citing papers authored by Nanfang Pan

Since Specialization
Citations

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

Fields of papers citing papers by Nanfang Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanfang Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Nanfang Pan. A scholar is included among the top collaborators of Nanfang Pan 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 Nanfang Pan. Nanfang Pan 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.
Pan, Nanfang, et al.. (2025). Noninvasive Brain Stimulation in Attention-Deficit/Hyperactivity Disorder: A Systematic Review and Meta-Analysis of Treatment Efficacy and Targeting Strategies. Journal of the American Academy of Child & Adolescent Psychiatry. 65(3). 369–391.
3.
Pan, Nanfang, Kun Qin, L. Rodrigo Patino, et al.. (2024). Aberrant brain network topology in youth with a familial risk for bipolar disorder: a task‐based fMRI connectome study. Journal of Child Psychology and Psychiatry. 65(8). 1072–1086. 4 indexed citations
4.
Pan, Nanfang, Tianyu Ma, Yiqiong Liu, et al.. (2024). Overlapping and differential neuropharmacological mechanisms of stimulants and nonstimulants for attention-deficit/hyperactivity disorder: a comparative neuroimaging analysis. Psychological Medicine. 54(16). 4676–4690. 3 indexed citations
5.
Suo, Xueling, Nanfang Pan, Lingjiang Li, et al.. (2024). Resolving Heterogeneity in Posttraumatic Stress Disorder Using Individualized Structural Covariance Network Analysis. Depression and Anxiety. 2024(1). 4399757–4399757. 1 indexed citations
6.
Zhang, Lisha, Kun Qin, Nanfang Pan, Haoran Xu, & Qiyong Gong. (2024). Shared and distinct patterns of default mode network dysfunction in major depressive disorder and bipolar disorder: A comparative meta-analysis. Journal of Affective Disorders. 368. 23–32. 3 indexed citations
7.
Long, Jingyi, Kun Qin, Nanfang Pan, Wenliang Fan, & Yi Li. (2024). Impaired topology and connectivity of grey matter structural networks in major depressive disorder: evidence from a multi-site neuroimaging data-set. The British Journal of Psychiatry. 224(5). 170–178. 8 indexed citations
8.
Qin, Kun, Huiru Li, Huawei Zhang, et al.. (2024). Transcriptional Patterns of Brain Structural Covariance Network Abnormalities Associated With Suicidal Thoughts and Behaviors in Major Depressive Disorder. Biological Psychiatry. 96(6). 435–444. 21 indexed citations
9.
Pan, Nanfang, Song Wang, Xun Zhang, et al.. (2024). Multivariate patterns of brain functional connectome associated with COVID-19-related negative affect symptoms. Translational Psychiatry. 14(1). 49–49. 2 indexed citations
10.
Liu, Xiqin, Yajun Zhao, Xueling Suo, et al.. (2023). Psychological resilience mediates the protective role of default-mode network functional connectivity against COVID-19 vicarious traumatization. Translational Psychiatry. 13(1). 231–231. 23 indexed citations
11.
Pan, Nanfang, et al.. (2023). ChatGPT: a promising AI technology for psychoradiology research and practice. PubMed. 3. kkad018–kkad018. 2 indexed citations
12.
Pan, Nanfang, Kun Qin, Ying Chen, et al.. (2023). Shared and Distinct Neurobiological Bases of Bipolar Disorder and Attention-Deficit/Hyperactivity Disorder in Children and Adolescents: A Comparative Meta-Analysis of Structural Abnormalities. Journal of the American Academy of Child & Adolescent Psychiatry. 63(6). 586–604. 6 indexed citations
13.
Li, Lei, Nanfang Pan, Xiqin Liu, et al.. (2023). Neural correlates of neuroticism: A coordinate-based meta-analysis of resting-state functional brain imaging studies. Neuroscience & Biobehavioral Reviews. 146. 105055–105055. 52 indexed citations
14.
Qin, Kun, Du Lei, Walter Hugo Lopez Pinaya, et al.. (2022). Using graph convolutional network to characterize individuals with major depressive disorder across multiple imaging sites. EBioMedicine. 78. 103977–103977. 59 indexed citations
15.
Pan, Nanfang, Kun Qin, Xun Zhang, et al.. (2022). Pre-COVID brain functional connectome features prospectively predict emergence of distress symptoms after onset of the COVID-19 pandemic. Psychological Medicine. 53(11). 5155–5166. 12 indexed citations
16.
Lai, Han, Xiangzhen Kong, Yajun Zhao, et al.. (2022). Patterns of a structural covariance network associated with dispositional optimism during late adolescence. NeuroImage. 251. 119009–119009. 21 indexed citations
17.
Suo, Xueling, Nanfang Pan, Xun Zhang, et al.. (2022). COVID‐19 vicarious traumatization links functional connectome to general distress. NeuroImage. 255. 119185–119185. 34 indexed citations
18.
Zhang, Xun, Bochao Cheng, Xun Yang, et al.. (2022). Emotional intelligence mediates the protective role of the orbitofrontal cortex spontaneous activity measured by fALFF against depressive and anxious symptoms in late adolescence. European Child & Adolescent Psychiatry. 32(10). 1957–1967. 15 indexed citations
19.
Pan, Nanfang, Song Wang, Yajun Zhao, et al.. (2021). Brain gray matter structures associated with trait impulsivity: A systematic review and voxel‐based meta‐analysis. Human Brain Mapping. 42(7). 2214–2235. 68 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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