Shugui Gao

1.6k total citations
11 papers, 139 citations indexed

About

Shugui Gao is a scholar working on Molecular Biology, Psychiatry and Mental health and Biological Psychiatry. According to data from OpenAlex, Shugui Gao has authored 11 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Psychiatry and Mental health and 2 papers in Biological Psychiatry. Recurrent topics in Shugui Gao's work include Epigenetics and DNA Methylation (5 papers), Bipolar Disorder and Treatment (3 papers) and Tryptophan and brain disorders (2 papers). Shugui Gao is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Bipolar Disorder and Treatment (3 papers) and Tryptophan and brain disorders (2 papers). Shugui Gao collaborates with scholars based in China and United States. Shugui Gao's co-authors include Jia Cheng, Dongjun Dai, Shiwei Duan, Yunliang Wang, Kai Zhang, Haihua Tian, Xiaohan Wan, Jinfeng Li, Lingyan Wang and Xingyu Zhou and has published in prestigious journals such as PLoS ONE, British Journal of Pharmacology and Psychiatry Research.

In The Last Decade

Shugui Gao

9 papers receiving 139 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shugui Gao China	7	87	33	32	26	22	11	139
Anne Hedemand Denmark	8	90 1.0×	23 0.7×	61 1.9×	31 1.2×	8 0.4×	11	196
Guoquan Zhou China	6	58 0.7×	28 0.8×	48 1.5×	21 0.8×	5 0.2×	10	142
Edwin JCG van den Oord United States	7	144 1.7×	11 0.3×	72 2.3×	19 0.7×	21 1.0×	8	207
Kangli Wang China	8	178 2.0×	12 0.4×	58 1.8×	17 0.7×	49 2.2×	9	242
Frederieke Gigase Netherlands	7	72 0.8×	54 1.6×	17 0.5×	24 0.9×	10 0.5×	18	257
Paul Basil United States	7	105 1.2×	70 2.1×	81 2.5×	19 0.7×	17 0.8×	12	281
Shirong Lai China	6	133 1.5×	20 0.6×	26 0.8×	8 0.3×	10 0.5×	6	179
Sabrina Sordon Germany	2	117 1.3×	19 0.6×	45 1.4×	14 0.5×	12 0.5×	3	156

Countries citing papers authored by Shugui Gao

Since Specialization

Citations

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

Fields of papers citing papers by Shugui Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shugui Gao

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

All Works

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11 of 11 papers shown

Li, Yuanyuan, et al.. (2025). The role of the amygdala in depression: a bibliometric analysis (2015–2024). Frontiers in Psychiatry. 16. 1642936–1642936.

Gao, Shugui, et al.. (2025). Blood‐based circRNA / miRNA biomarkers for modified electroconvulsive therapy efficacy and memory impairment in major depressive disorder. Psychiatry and Clinical Neurosciences. 80(2). 93–105.

Tian, Haihua, Shugui Gao, Mei Yang, et al.. (2024). tiRNA‐Gly‐GCC‐001 in major depressive disorder: Promising diagnostic and therapeutic biomarker. British Journal of Pharmacology. 181(13). 1952–1972. 2 indexed citations

Sun, Ting, et al.. (2021). The role of BDNF exon I region methylation in the treatment of depression with sertraline and its clinical diagnostic value. Journal of Clinical Laboratory Analysis. 35(11). e23993–e23993. 6 indexed citations

Tian, Haihua, et al.. (2020). Inflammatory cytokines derived from peripheral blood contribute to the modified electroconvulsive therapy-induced cognitive deficits in major depressive disorder. European Archives of Psychiatry and Clinical Neuroscience. 271(3). 475–485. 33 indexed citations

Liao, Qi, Yunliang Wang, Jia Cheng, et al.. (2015). DNA methylation patterns of protein-coding genes and long non-coding RNAs in males with schizophrenia. Molecular Medicine Reports. 12(5). 6568–6576. 9 indexed citations

Cheng, Jia, Yunliang Wang, Lingyan Wang, et al.. (2014). Male-Specific Association between Dopamine Receptor D4 Gene Methylation and Schizophrenia. PLoS ONE. 9(2). e89128–e89128. 46 indexed citations

Dai, Dongjun, Jia Cheng, Rongjiong Zheng, et al.. (2014). Significant association between DRD3 gene body methylation and schizophrenia. Psychiatry Research. 220(3). 772–777. 16 indexed citations

Liao, Qi, Yunliang Wang, Jia Cheng, et al.. (2014). DNA methylation patterns of protein coding genes and long noncoding RNAs in female schizophrenic patients. European Journal of Medical Genetics. 58(2). 95–104. 13 indexed citations

10.

Xu, Xuting, Lingyan Wang, Leiting Xu, et al.. (2014). Meta-analyses of nine polymorphisms of six genes with the risk of schizophrenia. Advances in Bioscience and Biotechnology. 5(2). 81–88. 2 indexed citations

11.

Gao, Shugui, Zhenyu Hu, Jia Cheng, et al.. (2012). Impact of catechol-o-methyltransferase polymorphisms on risperidone treatment for schizophrenia and its potential clinical significance. Clinical Biochemistry. 45(10-11). 787–792. 12 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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