Zezhi Li

4.5k total citations · 1 hit paper
146 papers, 3.1k citations indexed

About

Zezhi Li is a scholar working on Psychiatry and Mental health, Molecular Biology and Biological Psychiatry. According to data from OpenAlex, Zezhi Li has authored 146 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Psychiatry and Mental health, 34 papers in Molecular Biology and 32 papers in Biological Psychiatry. Recurrent topics in Zezhi Li's work include Tryptophan and brain disorders (32 papers), Schizophrenia research and treatment (17 papers) and Bipolar Disorder and Treatment (17 papers). Zezhi Li is often cited by papers focused on Tryptophan and brain disorders (32 papers), Schizophrenia research and treatment (17 papers) and Bipolar Disorder and Treatment (17 papers). Zezhi Li collaborates with scholars based in China, United States and United Kingdom. Zezhi Li's co-authors include Yiru Fang, Zhenghui Yi, Jun Chen, Xiangyang Zhang, Meihua Ruan, Yangtai Guan, Shunying Yu, Chengmei Yuan, Chen Zhang and Wu Hong and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Zezhi Li

141 papers receiving 3.0k citations

Hit Papers

Major Depressive Disorder... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zezhi Li China 31 703 685 623 516 344 146 3.1k
Yunlong Tan China 29 689 1.0× 563 0.8× 824 1.3× 313 0.6× 333 1.0× 228 3.5k
Kyoung‐Sae Na South Korea 26 870 1.2× 361 0.5× 509 0.8× 535 1.0× 212 0.6× 97 2.9k
Chen Zhang China 32 467 0.7× 575 0.8× 643 1.0× 229 0.4× 517 1.5× 218 3.4k
Xin‐Min Li Canada 37 486 0.7× 800 1.2× 417 0.7× 594 1.2× 738 2.1× 141 4.2k
Pao‐Yen Lin Taiwan 36 653 0.9× 544 0.8× 1.3k 2.0× 679 1.3× 587 1.7× 176 4.6k
Po See Chen Taiwan 32 706 1.0× 435 0.6× 1.3k 2.0× 465 0.9× 650 1.9× 230 3.6k
Po‐Hsiu Kuo Taiwan 34 490 0.7× 1.2k 1.8× 647 1.0× 544 1.1× 385 1.1× 209 4.3k
Toby Pillinger United Kingdom 23 1.1k 1.5× 426 0.6× 1.4k 2.2× 315 0.6× 233 0.7× 67 3.3k
Xiaoduo Fan United States 37 972 1.4× 639 0.9× 1.3k 2.1× 347 0.7× 236 0.7× 110 3.4k
Ming‐Chyi Huang Taiwan 27 430 0.6× 411 0.6× 618 1.0× 348 0.7× 244 0.7× 166 2.5k

Countries citing papers authored by Zezhi Li

Since Specialization
Citations

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

Fields of papers citing papers by Zezhi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zezhi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Zezhi Li. A scholar is included among the top collaborators of Zezhi Li 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 Zezhi Li. Zezhi Li 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.
Huang, Huiyuan, Shufei Zhang, Zezhi Li, et al.. (2025). Characterizing childhood trauma in individuals based on patterns of intrinsic brain connectivity. Journal of Affective Disorders. 375. 103–117. 1 indexed citations
2.
Xie, Xiaoxian, Wenwen Li, Ze Xiong, et al.. (2024). Metformin reprograms tryptophan metabolism via gut microbiome-derived bile acid metabolites to ameliorate depression-Like behaviors in mice. Brain Behavior and Immunity. 123. 442–455. 9 indexed citations
3.
Li, Zezhi, Xiang Li, Junwei Zhao, et al.. (2024). Analysis of the response to cigarette smoke exposure in cell coculture and monoculture based on bionic-lung microfluidic chips. Analytica Chimica Acta. 1300. 342446–342446. 4 indexed citations
5.
Li, Zezhi, et al.. (2024). Neuroimaging markers of aberrant brain activity and treatment response in schizophrenia patients based on brain complexity. Translational Psychiatry. 14(1). 365–365. 2 indexed citations
6.
Zhang, Shufei, Shenglin She, Zezhi Li, et al.. (2023). Multi-modal MRI measures reveal sensory abnormalities in major depressive disorder patients: A surface-based study. NeuroImage Clinical. 39. 103468–103468. 7 indexed citations
7.
Li, Hui, et al.. (2023). Efficacy of standard operating procedures for fall protection in hospitalized patients with schizophrenia. SHILAP Revista de lepidopterología. 9(1). 73–73.
8.
Yang, Mi, Jingjing Xu, Xiaoqin Chen, et al.. (2023). Sex-based influential factors for dental caries in patients with schizophrenia. BMC Psychiatry. 23(1). 735–735. 1 indexed citations
9.
Li, Rong, Fei Shen, Ting Zou, et al.. (2023). Dissociable salience and default mode network modulation in generalized anxiety disorder: a connectome-wide association study. Cerebral Cortex. 33(10). 6354–6365. 15 indexed citations
10.
Yang, Mi, Hongmei Cui, Thomas R. Kosten, et al.. (2023). Dynamic functional thalamocortical dysconnectivity in schizophrenia correlates to antipsychotics response. Schizophrenia. 9(1). 40–40. 6 indexed citations
11.
Tian, Wen, Xiong Xiao, Lei Zhou, et al.. (2022). TRPC channels blockade abolishes endotoxemic cardiac dysfunction by hampering intracellular inflammation and Ca2+ leakage. Nature Communications. 13(1). 7455–7455. 25 indexed citations
12.
Zheng, Wei, Xinyang Zhang, Rui‐Hua Xu, et al.. (2022). Adjunctive accelerated repetitive transcranial magnetic stimulation for older patients with depression: A systematic review. Frontiers in Aging Neuroscience. 14. 1036676–1036676. 5 indexed citations
13.
Zhou, Xiaofei, Xi Tan, Xincheng Huang, et al.. (2022). The Status of Oxidative Stress in Patients with Alcohol Dependence: A Meta-Analysis. Antioxidants. 11(10). 1919–1919. 19 indexed citations
15.
Li, Zezhi, Mei Xue, Lei Zhao, et al.. (2021). Comorbid major depression in first-episode drug-naïve patients with schizophrenia: Analysis of the Depression in Schizophrenia in China (DISC) study. Journal of Affective Disorders. 294. 33–38. 6 indexed citations
16.
Yu, Shunying, Chengmei Yuan, Wu Hong, et al.. (2021). Gene expression signatures differentiating major depressive disorder from subsyndromal symptomatic depression. Aging. 13(9). 13124–13137. 6 indexed citations
17.
Sultana, Sadia, Abid Hasan Khan, Sahadat Hossain, et al.. (2021). Fear and depressive symptoms amid COVID-19: A cross-sectional pilot study among adult population in Bangladesh. Heliyon. 7(7). e07395–e07395. 11 indexed citations
18.
Hu, Yingyan, Wu Hong, Alicia K. Smith, et al.. (2017). Association analysis between mitogen-activated protein/extracellular signal-regulated kinase (MEK) gene polymorphisms and depressive disorder in the Han Chinese population. Journal of Affective Disorders. 222. 120–125. 6 indexed citations
19.
Hong, Wu, Jinbo Fan, Chengmei Yuan, et al.. (2014). Significantly decreased mRNA levels of BDNF and MEK1 genes in treatment-resistant depression. Neuroreport. 25(10). 753–755. 29 indexed citations
20.
Yi, Zhenghui, Zezhi Li, Shunying Yu, et al.. (2012). Blood-Based Gene Expression Profiles Models for Classification of Subsyndromal Symptomatic Depression and Major Depressive Disorder. PLoS ONE. 7(2). e31283–e31283. 72 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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