Xia Liu

3.8k total citations · 1 hit paper
67 papers, 2.7k citations indexed

About

Xia Liu is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Xia Liu has authored 67 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Immunology, 20 papers in Molecular Biology and 18 papers in Genetics. Recurrent topics in Xia Liu's work include Chronic Lymphocytic Leukemia Research (16 papers), Immune cells in cancer (9 papers) and Lymphoma Diagnosis and Treatment (8 papers). Xia Liu is often cited by papers focused on Chronic Lymphocytic Leukemia Research (16 papers), Immune cells in cancer (9 papers) and Lymphoma Diagnosis and Treatment (8 papers). Xia Liu collaborates with scholars based in China, United States and United Kingdom. Xia Liu's co-authors include Steven P. Treon, Zachary R. Hunter, Guang Yang, Lian Xu, Yang Cao, Fuqiang Yin, Yi Lü, Christopher J. Patterson, Jian Zhang and Robert Manning and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Xia Liu

64 papers receiving 2.6k citations

Hit Papers

MYD88 L265P Somatic Mutation in Waldenström's Macroglobul... 2012 2026 2016 2021 2012 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xia Liu China 24 963 935 932 913 519 67 2.7k
Beatrix Bartók United States 17 348 0.4× 962 1.0× 209 0.2× 734 0.8× 568 1.1× 40 2.7k
Manfred Jücker Germany 30 270 0.3× 2.0k 2.1× 451 0.5× 518 0.6× 904 1.7× 104 3.2k
Mario I. Vega United States 26 226 0.2× 1.0k 1.1× 492 0.5× 459 0.5× 510 1.0× 84 2.0k
Maria Rosaria Ricciardi Italy 29 303 0.3× 1.2k 1.3× 181 0.2× 1.1k 1.2× 732 1.4× 83 2.8k
Ηλίας Δράκος Greece 28 167 0.2× 1.1k 1.1× 457 0.5× 420 0.5× 648 1.2× 71 2.1k
Axel Polack Germany 27 222 0.2× 1.5k 1.6× 592 0.6× 612 0.7× 1.1k 2.1× 54 3.0k
Runqing Lu United States 23 206 0.2× 759 0.8× 223 0.2× 797 0.9× 444 0.9× 36 2.0k
Arnaud Jacquel France 33 323 0.3× 1.7k 1.8× 150 0.2× 718 0.8× 514 1.0× 64 3.0k
Kajsa Paulsson Sweden 33 265 0.3× 1.0k 1.1× 183 0.2× 482 0.5× 409 0.8× 88 2.8k
Vivian Ruvolo United States 36 460 0.5× 2.9k 3.1× 363 0.4× 748 0.8× 1.6k 3.0× 153 4.7k

Countries citing papers authored by Xia Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xia Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xia Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xia Liu. A scholar is included among the top collaborators of Xia Liu 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 Xia Liu. Xia Liu 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.
Castillo, Jorge J., Shayna Sarosiek, Andrew R. Branagan, et al.. (2024). Identification of robust predictors for ibrutinib response by multiomics in MYD88-mutated Waldenström macroglobulinemia. Blood Advances. 8(9). 2133–2137. 1 indexed citations
2.
Liu, Xia, et al.. (2023). Evaluation of the electrocardiogram RV5/V6 criteria in the diagnosis of left ventricular hypertrophy in marathon runners. Journal of Clinical Hypertension. 25(7). 638–646. 2 indexed citations
3.
Liu, Xia, Zhenfeng Li, Jingli Ren, & Guanglin Cui. (2023). IL-33-expressing microvascular endothelial cells in human esophageal squamous cell carcinoma: Implications for pathological features and prognosis. Microvascular Research. 147. 104506–104506. 2 indexed citations
4.
Liu, Yuanying, Wenchao Hu, Jing Yang, et al.. (2023). Peripheral CCL2 induces inflammatory pain via regulation of Ih currents in small diameter DRG neurons. Frontiers in Molecular Neuroscience. 16. 1144614–1144614. 10 indexed citations
5.
Zheng, Chanjuan, Muyao Wu, Lian Xue, et al.. (2023). Neutrophils in triple-negative breast cancer: an underestimated player with increasingly recognized importance. Breast Cancer Research. 25(1). 88–88. 30 indexed citations
6.
Shu, Chuanjun, Dongyin Chen, Xia Liu, et al.. (2022). JAC1 targets YY1 mediated JWA/p38 MAPK signaling to inhibit proliferation and induce apoptosis in TNBC. Cell Death Discovery. 8(1). 169–169. 21 indexed citations
7.
8.
Fu, Huiying, et al.. (2020). High-Fat Diet Promotes Macrophage-Mediated Hepatic Inflammation and Aggravates Diethylnitrosamine-Induced Hepatocarcinogenesis in Mice. Frontiers in Nutrition. 7. 585306–585306. 27 indexed citations
10.
Guo, Hongwei, Hebao Yuan, Shu Pan, et al.. (2017). Litchi seed extracts diminish prostate cancer progression via induction of apoptosis and attenuation of EMT through Akt/GSK-3β signaling. Scientific Reports. 7(1). 41656–41656. 50 indexed citations
11.
Ren, Yu, Xuan Zhou, Xia Liu, et al.. (2016). Reprogramming carcinoma associated fibroblasts by AC1MMYR2 impedes tumor metastasis and improves chemotherapy efficacy. Cancer Letters. 374(1). 96–106. 40 indexed citations
12.
13.
Liu, Xia, Yi Lü, Jian Zhang, Li Li, & Fuqiang Yin. (2015). Downregulation of transient receptor potential cation channel, subfamily C, member 1 (TRPC1) is associated with drug resistance and high histologic grade in ovarian cancer. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Wu, Jianjun, Wenwei Li, Yaming Shao, et al.. (2015). Inhibition of cGAS DNA Sensing by a Herpesvirus Virion Protein. Cell Host & Microbe. 18(3). 333–344. 236 indexed citations
15.
Zhang, Mingjie, Cynthia X. Shi, Yao Zhang, et al.. (2015). Renal Function in Chinese HIV-Positive Individuals following Initiation of Antiretroviral Therapy. PLoS ONE. 10(8). e0135462–e0135462. 9 indexed citations
16.
Liu, Xia, Jing Zou, Jie Su, et al.. (2015). Downregulation of transient receptor potential cation channel, subfamily C, member 1 contributes to drug resistance and high histological grade in ovarian cancer. International Journal of Oncology. 48(1). 243–252. 23 indexed citations
17.
Liu, Xia, Yutao Gao, Bing Zhao, et al.. (2015). Discovery of microarray-identified genes associated with ovarian cancer progression. International Journal of Oncology. 46(6). 2467–2478. 34 indexed citations
18.
Treon, Steven P., Yang Cao, Lian Xu, et al.. (2014). Somatic mutations in MYD88 and CXCR4 are determinants of clinical presentation and overall survival in Waldenström macroglobulinemia. Blood. 123(18). 2791–2796. 241 indexed citations
19.
Yin, Fuqiang, Xia Liu, Danrong Li, et al.. (2013). Tumor suppressor genes associated with drug resistance in ovarian cancer (Review). Oncology Reports. 30(1). 3–10. 50 indexed citations
20.
Zhang, Yongliang, Qiuyan Liu, Minggang Zhang, et al.. (2009). Fas Signal Promotes Lung Cancer Growth by Recruiting Myeloid-Derived Suppressor Cells via Cancer Cell-Derived PGE2. The Journal of Immunology. 182(6). 3801–3808. 100 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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