Bangshan Liu

2.4k total citations · 1 hit paper
80 papers, 1.2k citations indexed

About

Bangshan Liu is a scholar working on Clinical Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Bangshan Liu has authored 80 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Clinical Psychology, 27 papers in Cognitive Neuroscience and 25 papers in Experimental and Cognitive Psychology. Recurrent topics in Bangshan Liu's work include Functional Brain Connectivity Studies (26 papers), Mental Health Research Topics (20 papers) and Treatment of Major Depression (20 papers). Bangshan Liu is often cited by papers focused on Functional Brain Connectivity Studies (26 papers), Mental Health Research Topics (20 papers) and Treatment of Major Depression (20 papers). Bangshan Liu collaborates with scholars based in China, United States and Canada. Bangshan Liu's co-authors include Lingjiang Li, Jin Liu, Yan Zhang, Mi Wang, Yumeng Ju, Xiaowen Lu, Qiangli Dong, Mei Liao, Li Zhang and Jinrong Sun and has published in prestigious journals such as NeuroImage, Psychological Medicine and Journal of Affective Disorders.

In The Last Decade

Bangshan Liu

72 papers receiving 1.2k citations

Hit Papers

Gut microbiota-derived short-chain fatty acids and depres... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bangshan Liu China 20 344 308 215 201 196 80 1.2k
Keri Tuit United States 14 392 1.1× 320 1.0× 222 1.0× 176 0.9× 106 0.5× 15 1.4k
Shaojia Lu China 21 495 1.4× 500 1.6× 257 1.2× 269 1.3× 306 1.6× 51 1.5k
Hwa-Young Lee South Korea 17 266 0.8× 255 0.8× 137 0.6× 136 0.7× 300 1.5× 80 1.2k
Javier de Diego-Adeliño Spain 19 378 1.1× 131 0.4× 161 0.7× 235 1.2× 217 1.1× 36 1.3k
Amedeo Minichino Italy 23 321 0.9× 219 0.7× 109 0.5× 180 0.9× 515 2.6× 67 1.3k
Nathan J. Kolla Canada 21 173 0.5× 472 1.5× 113 0.5× 198 1.0× 327 1.7× 88 1.4k
Amir Garakani United States 19 177 0.5× 341 1.1× 234 1.1× 250 1.2× 294 1.5× 62 1.7k
James J. Prisciandaro United States 21 534 1.6× 305 1.0× 292 1.4× 55 0.3× 319 1.6× 60 1.4k
Kao Chin Chen Taiwan 19 229 0.7× 229 0.7× 318 1.5× 163 0.8× 381 1.9× 90 1.2k
Andrés Herane-Vives United Kingdom 12 188 0.5× 184 0.6× 175 0.8× 533 2.7× 223 1.1× 20 1.1k

Countries citing papers authored by Bangshan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Bangshan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bangshan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Bangshan Liu. A scholar is included among the top collaborators of Bangshan Liu 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 Bangshan Liu. Bangshan Liu 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.
Chen, Hao, Long Yan, Zengzhe Xi, et al.. (2025). Agomelatine as adjunctive therapy with SSRIs or SNRIs for major depressive disorder: a multicentre, double-blind, randomized, placebo-controlled trial. BMC Medicine. 23(1). 137–137. 2 indexed citations
2.
4.
Rehman, Shazia, Xinyi Wang, Weiguo Mao, et al.. (2025). Comparative assessment of Patient Health Questionnaire-9 and Edinburgh Postnatal Depression Scale for screening antenatal depression among Chinese pregnant women. Journal of Affective Disorders. 376. 104–112. 3 indexed citations
6.
Qin, Xuemei, Weiguo Mao, Huiqin Li, et al.. (2024). Prevalence and risk factors of antenatal depression in the first trimester: A real-world cross-sectional study in a developed district in South China. Journal of Affective Disorders. 362. 853–858. 1 indexed citations
7.
Liu, Bangshan, Mi Wang, Ying Feng, et al.. (2024). Association between personality and cognitive bias in adults with and without depression. BMC Psychology. 12(1). 779–779. 1 indexed citations
8.
Ju, Yumeng, Yunjing Li, Liang Li, et al.. (2024). Network analysis of suicide ideation and depression–anxiety symptoms among Chinese adolescents. General Psychiatry. 37(2). e101225–e101225. 17 indexed citations
9.
Qin, Xuemei, Ya‐Li Deng, Yumeng Ju, et al.. (2024). Association between gut microbiota and perinatal depression and anxiety among a pregnancy cohort in Hunan, China. Brain Behavior and Immunity. 125. 168–177. 3 indexed citations
10.
Liu, Jin, Mengqi Zhang, Yumeng Ju, et al.. (2023). The relationship between personality traits and dysfunctional attitudes in individuals with or without major depressive disorder: a case control study. BMC Psychiatry. 23(1). 901–901. 1 indexed citations
11.
Liu, Bangshan, Yumeng Ju, Mi Wang, et al.. (2023). Impact of childhood maltreatment on adult resilience. BMC Psychiatry. 23(1). 637–637. 6 indexed citations
12.
Liu, Bangshan, Yumeng Ju, Mi Wang, et al.. (2023). The longitudinal change pattern of cognitive subtypes in medication-free patients with major depressive disorder: a cluster analysis. Psychiatry Research. 327. 115413–115413. 6 indexed citations
13.
Zhang, Liang, Zexuan Li, Xiaowen Lu, et al.. (2022). High efficiency of left superior frontal gyrus and the symptom features of major depressive disorder.. PubMed. 47(3). 289–300. 6 indexed citations
14.
Liu, Jin, Bangshan Liu, Mi Wang, et al.. (2022). Relationship between childhood maltreatment and cognitive function in medication-free patients with major depressive disorder. European Archives of Psychiatry and Clinical Neuroscience. 273(5). 1073–1083. 5 indexed citations
15.
Ju, Yumeng, Jin Liu, Jin Liu, et al.. (2021). Prevalence and predictors of post-traumatic stress disorder in patients with cured coronavirus disease 2019 (COVID-19) one month post-discharge. European journal of psychotraumatology. 12(1). 1915576–1915576. 10 indexed citations
16.
Liu, Jin, Yiming Fan, Ling‐Li Zeng, et al.. (2021). The neuroprogressive nature of major depressive disorder: evidence from an intrinsic connectome analysis. Translational Psychiatry. 11(1). 102–102. 34 indexed citations
17.
Chen, Yanchao, Jin Liu, Zexuan Li, et al.. (2020). The Tendency of Modified Electroconvulsive Therapy–Related Working Memory and Subjective Memory Deficits in Depression. Journal of Ect. 36(3). 198–204. 7 indexed citations
18.
Wang, Mi, Yumeng Ju, Xiaowen Lu, et al.. (2020). Longitudinal changes of amplitude of low-frequency fluctuations in MDD patients: A 6-month follow-up resting-state functional magnetic resonance imaging study. Journal of Affective Disorders. 276. 411–417. 18 indexed citations
19.
20.
Dong, Qiangli, Ping Wan, Jinrong Sun, et al.. (2017). Cognitive function characteristics of the remitted major depressive disorder: a prospective study. Chin J Psychiatry. 50(3). 182–186. 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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