Xingxing Yan

568 total citations
15 papers, 362 citations indexed

About

Xingxing Yan is a scholar working on Immunology, Epidemiology and Molecular Biology. According to data from OpenAlex, Xingxing Yan has authored 15 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 5 papers in Epidemiology and 2 papers in Molecular Biology. Recurrent topics in Xingxing Yan's work include Immune Response and Inflammation (5 papers), Sepsis Diagnosis and Treatment (3 papers) and IL-33, ST2, and ILC Pathways (2 papers). Xingxing Yan is often cited by papers focused on Immune Response and Inflammation (5 papers), Sepsis Diagnosis and Treatment (3 papers) and IL-33, ST2, and ILC Pathways (2 papers). Xingxing Yan collaborates with scholars based in China, Thailand and United States. Xingxing Yan's co-authors include Yue‐Jun Zhang, Ju Cao, Yibing Yin, Yun Xia, Xue Lin, Yi Liu, Xun Gao, Liping Zhang, Yibing Yin and Shihui Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Cell Biology and The Journal of Infectious Diseases.

In The Last Decade

Xingxing Yan

15 papers receiving 357 citations

Peers

Xingxing Yan
Alison Balfour United States
Stephen E. Wolverton United States
D. Vidal Spain
Ran Liao United States
Suzana Brozović United States
Alison Balfour United States
Xingxing Yan
Citations per year, relative to Xingxing Yan Xingxing Yan (= 1×) peers Alison Balfour

Countries citing papers authored by Xingxing Yan

Since Specialization
Citations

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

Fields of papers citing papers by Xingxing Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingxing Yan

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

All Works

15 of 15 papers shown
1.
Chen, Jingjing, Lu Gan, Xingxing Yan, et al.. (2024). SERRATE drives phase separation behaviours to regulate m6A modification and miRNA biogenesis. Nature Cell Biology. 26(12). 2129–2143. 9 indexed citations
2.
Yan, Xingxing, et al.. (2022). Identification and Validation of LYZ and CCL19 as Prognostic Genes in the Cervical Cancer Micro-Environment. SHILAP Revista de lepidopterología. 49(6). 1 indexed citations
4.
Yan, Xingxing, Qian Xiao, Jieying Pu, et al.. (2021). Application of Sigma metrics in the quality control strategies of immunology and protein analytes. Journal of Clinical Laboratory Analysis. 35(11). e24041–e24041. 4 indexed citations
5.
Zhang, Yue‐Jun & Xingxing Yan. (2020). The impact of US economic policy uncertainty on WTI crude oil returns in different time and frequency domains. International Review of Economics & Finance. 69. 750–768. 92 indexed citations
6.
Gong, Yi, et al.. (2020). Oncostatin M Is a Prognostic Biomarker and Inflammatory Mediator for Sepsis. The Journal of Infectious Diseases. 221(12). 1989–1998. 17 indexed citations
7.
Gao, Xun, Xingxing Yan, Qun Zhang, Yibing Yin, & Ju Cao. (2019). CD5L contributes to the pathogenesis of methicillin-resistant Staphylococcus aureus-induced pneumonia. International Immunopharmacology. 72. 40–47. 24 indexed citations
8.
Yin, Yibing, et al.. (2019). Flagellin attenuates experimental sepsis in a macrophage-dependent manner. Critical Care. 23(1). 106–106. 24 indexed citations
9.
10.
Yan, Xingxing, et al.. (2019). Interleukin-17D Aggravates Sepsis by Inhibiting Macrophage Phagocytosis. Critical Care Medicine. 48(1). e58–e65. 24 indexed citations
11.
Gao, Xun, Xingxing Yan, Yibing Yin, et al.. (2018). Therapeutic Targeting of Apoptosis Inhibitor of Macrophage/CD5L in Sepsis. American Journal of Respiratory Cell and Molecular Biology. 60(3). 323–334. 25 indexed citations
12.
Luo, Qin, et al.. (2018). Progranulin aggravates pulmonary immunopathology during influenza virus infection. Thorax. 74(3). 305–308. 17 indexed citations
13.
Xu, Fang, Shihui Lin, Xingxing Yan, et al.. (2018). Interleukin 38 Protects Against Lethal Sepsis. The Journal of Infectious Diseases. 218(7). 1175–1184. 48 indexed citations
14.
Lin, Xue, Xingxing Yan, Zhixin Song, et al.. (2018). Interleukin-34 Ameliorates Survival and Bacterial Clearance in Polymicrobial Sepsis*. Critical Care Medicine. 46(6). e584–e590. 28 indexed citations
15.
Zhang, Juan, Yibing Yin, Xue Lin, et al.. (2017). IL-36 induces cytokine IL-6 and chemokine CXCL8 expression in human lung tissue cells: Implications for pulmonary inflammatory responses. Cytokine. 99. 114–123. 36 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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