Xiaoli Wu

996 total citations · 1 hit paper
10 papers, 719 citations indexed

About

Xiaoli Wu is a scholar working on Molecular Biology, Social Psychology and Biological Psychiatry. According to data from OpenAlex, Xiaoli Wu has authored 10 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Social Psychology and 3 papers in Biological Psychiatry. Recurrent topics in Xiaoli Wu's work include Gut microbiota and health (5 papers), Neuroendocrine regulation and behavior (3 papers) and Tryptophan and brain disorders (3 papers). Xiaoli Wu is often cited by papers focused on Gut microbiota and health (5 papers), Neuroendocrine regulation and behavior (3 papers) and Tryptophan and brain disorders (3 papers). Xiaoli Wu collaborates with scholars based in China, Japan and United States. Xiaoli Wu's co-authors include Shan Liang, Feng Jin, Xu Hu, Tao Wang, Yunfeng Duan, Wei Li, Tao Wang, Bin Qin, Lingyu Yang and Yudong Chen and has published in prestigious journals such as International Journal of Molecular Sciences, Frontiers in Immunology and Science Signaling.

In The Last Decade

Xiaoli Wu

10 papers receiving 711 citations

Hit Papers

Structural changes of gut microbiota in Parkinson’s disea... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoli Wu China 9 410 214 179 174 112 10 719
Valeria D. Felice Ireland 10 298 0.7× 108 0.5× 80 0.4× 166 1.0× 50 0.4× 13 604
Sigrid Breit Switzerland 7 323 0.8× 206 1.0× 65 0.4× 203 1.2× 194 1.7× 18 907
Christine Fülling Ireland 9 640 1.6× 292 1.4× 43 0.2× 358 2.1× 86 0.8× 10 993
Junxi Pan China 14 709 1.7× 527 2.5× 75 0.4× 346 2.0× 102 0.9× 19 1.2k
Shohreh Raeisi United States 11 178 0.4× 75 0.4× 53 0.3× 124 0.7× 39 0.3× 18 416
Johanna Eerola‐Rautio Finland 7 864 2.1× 298 1.4× 661 3.7× 390 2.2× 197 1.8× 12 1.5k
Irina Zhukova Russia 9 323 0.8× 78 0.4× 243 1.4× 125 0.7× 62 0.6× 45 631
Alper Evrensel Türkiye 11 389 0.9× 222 1.0× 31 0.2× 177 1.0× 26 0.2× 51 666
Jean A. Jaglin United States 5 373 0.9× 101 0.5× 767 4.3× 241 1.4× 216 1.9× 5 1.2k
Jan Bürmann Germany 6 624 1.5× 207 1.0× 569 3.2× 321 1.8× 179 1.6× 7 1.1k

Countries citing papers authored by Xiaoli Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoli Wu

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

All Works

10 of 10 papers shown
1.
Liang, Shan, Yosuke Shimodaira, Xiaoli Wu, et al.. (2024). Supplementation with Lactobacillus helveticus NS8 alleviated behavioral, neural, endocrine, and microbiota abnormalities in an endogenous rat model of depression. Frontiers in Immunology. 15. 1407620–1407620. 10 indexed citations
3.
Niu, Yunxia, Shan Liang, Tao Wang, et al.. (2020). Pre‐Gestational intake of Lactobacillus helveticus NS8 has anxiolytic effects in adolescent Sprague Dawley offspring. Brain and Behavior. 10(9). e01714–e01714. 9 indexed citations
4.
Wu, Xiaoli, Shan Liang, Xianfeng Shao, et al.. (2020). A dynamic mouse peptidome landscape reveals probiotic modulation of the gut-brain axis. Science Signaling. 13(642). 23 indexed citations
5.
Niu, Yunxia, Tao Wang, Liang Shan, et al.. (2020). Sex‐dependent aberrant PFC development in the adolescent offspring rats exposed to variable prenatal stress. International Journal of Developmental Neuroscience. 80(6). 464–476. 8 indexed citations
6.
Liang, Shan, Xiaoli Wu, Xu Hu, Tao Wang, & Feng Jin. (2018). Recognizing Depression from the Microbiota–Gut–Brain Axis. International Journal of Molecular Sciences. 19(6). 1592–1592. 249 indexed citations
7.
Zhang, Tong, Gary Rajah, Christopher Stone, et al.. (2018). Effects of different frequencies of repetitive transcranial magnetic stimulation in stroke patients with non-fluent aphasia: a randomized, sham-controlled study. Neurological Research. 40(6). 459–465. 62 indexed citations
8.
Li, Wei, Xiaoli Wu, Xu Hu, et al.. (2017). Structural changes of gut microbiota in Parkinson’s disease and its correlation with clinical features. Science China Life Sciences. 60(11). 1223–1233. 307 indexed citations breakdown →
9.
Duan, Yunfeng, Xiaoli Wu, Shan Liang, & Feng Jin. (2015). Elevated Blood Ammonia Level Is a Potential Biological Risk Factor of Behavioral Disorders in Prisoners. Behavioural Neurology. 2015. 1–5. 17 indexed citations
10.
Hu, Xu, Tao Wang, Jia Luo, et al.. (2014). Age-dependent effect of high cholesterol diets on anxiety-like behavior in elevated plus maze test in rats. Behavioral and Brain Functions. 10(1). 30–30. 30 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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