Xunmin Tan

1.5k total citations
18 papers, 546 citations indexed

About

Xunmin Tan is a scholar working on Molecular Biology, Biological Psychiatry and Physiology. According to data from OpenAlex, Xunmin Tan has authored 18 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 10 papers in Biological Psychiatry and 8 papers in Physiology. Recurrent topics in Xunmin Tan's work include Gut microbiota and health (14 papers), Tryptophan and brain disorders (10 papers) and Diet and metabolism studies (7 papers). Xunmin Tan is often cited by papers focused on Gut microbiota and health (14 papers), Tryptophan and brain disorders (10 papers) and Diet and metabolism studies (7 papers). Xunmin Tan collaborates with scholars based in China, United States and Canada. Xunmin Tan's co-authors include Yu Huang, Jing Wu, Yifan Li, Peng Zheng, Hanping Zhang, Jiajia Duan, Tingjia Chai, Seth W. Perry, Julio Licínio and Weiwei Liang and has published in prestigious journals such as Nature Neuroscience, Frontiers in Microbiology and Molecular Psychiatry.

In The Last Decade

Xunmin Tan

15 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xunmin Tan China	10	387	268	189	57	56	18	546
Natalie Moll Germany	9	483 1.2×	339 1.3×	118 0.6×	87 1.5×	90 1.6×	12	820
Anders Abildgaard Denmark	12	329 0.9×	227 0.8×	226 1.2×	63 1.1×	88 1.6×	24	602
Monica Mazzelli Italy	8	294 0.8×	148 0.6×	190 1.0×	26 0.5×	48 0.9×	17	444
Elisa Mombelli Italy	6	386 1.0×	193 0.7×	261 1.4×	44 0.8×	19 0.3×	15	538
Isabel Campillo Spain	8	411 1.1×	187 0.7×	207 1.1×	32 0.6×	78 1.4×	10	631
Charlotte Mezö Germany	6	445 1.1×	252 0.9×	276 1.5×	37 0.6×	27 0.5×	9	767
Paul Malinowski Canada	8	349 0.9×	200 0.7×	145 0.8×	30 0.5×	65 1.2×	9	652
Tingjia Chai China	7	252 0.7×	176 0.7×	126 0.7×	31 0.5×	37 0.7×	11	347
Jana Neuber Germany	3	292 0.8×	170 0.6×	143 0.8×	38 0.7×	17 0.3×	5	445
Jiguo Gao China	6	292 0.8×	147 0.5×	208 1.1×	29 0.5×	13 0.2×	13	476

Countries citing papers authored by Xunmin Tan

Since Specialization

Citations

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

Fields of papers citing papers by Xunmin Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xunmin Tan

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

All Works

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18 of 18 papers shown

Long, Yun‐Ze, Yue Yang, Jing Wu, et al.. (2025). Impairments of spatial memory retrieval via medial mammillary body dysfunction in Alzheimer’s disease model. Translational Psychiatry. 15(1). 353–353.

Ma, Guojing, Jie Yang, Jianping Zhang, et al.. (2025). Single-cell transcriptomics reveals Sox6 positive interneurons enriched in the prefrontal cortex of female mice vulnerable to chronic social stress. Molecular Psychiatry. 30(11). 5058–5071. 1 indexed citations

Yang, Jie, Yifan Li, Yu Huang, et al.. (2025). Perturbations in the microbiota-gut-brain axis shaped by social status loss. Communications Biology. 8(1). 401–401.

Jiang, Wenxia, Yifan Li, Jie Yang, et al.. (2025). Chronic stress in mice: how gut bacteria influence gene activity in key brain neurons. Translational Psychiatry. 15(1). 262–262.

Tan, Xunmin, Hanping Zhang, Yifan Li, et al.. (2024). Biogeography of intestinal mucus-associated microbiome: Depletion of genus Pseudomonas is associated with depressive-like behaviors in female cynomolgus macaques. Journal of Advanced Research. 70. 393–404. 3 indexed citations

Xie, Peijun, Yifan Li, Jing Wu, et al.. (2024). Gut microbial CAZymes markers for depression. Translational Psychiatry. 14(1). 135–135. 6 indexed citations

Li, Yifan, Jing Wu, Hanping Zhang, et al.. (2023). Changes of gut microbiota reflect the severity of major depressive disorder: a cross sectional study. Translational Psychiatry. 13(1). 137–137. 41 indexed citations

Huang, Yu, Jing Wu, Hanping Zhang, et al.. (2023). The gut microbiome modulates the transformation of microglial subtypes. Molecular Psychiatry. 28(4). 1611–1621. 60 indexed citations

Wu, Jing, Yifan Li, Yu Huang, et al.. (2023). Integrating spatial and single-nucleus transcriptomic data elucidates microglial-specific responses in female cynomolgus macaques with depressive-like behaviors. Nature Neuroscience. 26(8). 1352–1364. 33 indexed citations

10.

Zhang, Hanping, Yifan Li, Peng Zheng, et al.. (2022). Altered Metabolism of the Microbiota–Gut–Brain Axis Is Linked With Comorbid Anxiety in Fecal Recipient Mice of Myasthenia Gravis. Frontiers in Microbiology. 13. 804537–804537. 6 indexed citations

11.

Wu, Jing, Tingjia Chai, Hanping Zhang, et al.. (2022). Changes in gut viral and bacterial species correlate with altered 1,2-diacylglyceride levels and structure in the prefrontal cortex in a depression-like non-human primate model. Translational Psychiatry. 12(1). 74–74. 28 indexed citations

12.

Duan, Jiajia, Yu Huang, Xunmin Tan, et al.. (2021). Characterization of gut microbiome in mice model of depression with divergent response to escitalopram treatment. Translational Psychiatry. 11(1). 303–303. 79 indexed citations

13.

Tan, Xunmin, Tingjia Chai, Jiajia Duan, et al.. (2021). Dynamic changes occur in the DNA gut virome of female cynomolgus macaques during aging. MicrobiologyOpen. 10(2). e1186–e1186. 5 indexed citations

14.

Zheng, Peng, Jing Wu, Hanping Zhang, et al.. (2020). The gut microbiome modulates gut–brain axis glycerophospholipid metabolism in a region-specific manner in a nonhuman primate model of depression. Molecular Psychiatry. 26(6). 2380–2392. 150 indexed citations

15.

Tan, Xunmin, Yu Huang, Tingjia Chai, et al.. (2020). Differential Gut Microbiota and Fecal Metabolites Related With the Clinical Subtypes of Myasthenia Gravis. Frontiers in Microbiology. 11. 564579–564579. 24 indexed citations

16.

Liang, Weiwei, Yu Huang, Xunmin Tan, et al.. (2019). <p>Alterations Of Glycerophospholipid And Fatty Acyl Metabolism In Multiple Brain Regions Of Schizophrenia Microbiota Recipient Mice</p>. Neuropsychiatric Disease and Treatment. Volume 15. 3219–3229. 23 indexed citations

17.

Zheng, Peng, Yifan Li, Jing Wu, et al.. (2019). Perturbed Microbial Ecology in Myasthenia Gravis: Evidence from the Gut Microbiome and Fecal Metabolome. Advanced Science. 6(18). 1901441–1901441. 58 indexed citations

18.

Duan, Jiajia, Bangmin Yin, Wei Li, et al.. (2019). Age-related changes in microbial composition and function in cynomolgus macaques. Aging. 11(24). 12080–12096. 29 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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