Xianliang Hou

916 total citations
54 papers, 674 citations indexed

About

Xianliang Hou is a scholar working on Molecular Biology, Immunology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xianliang Hou has authored 54 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Immunology and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xianliang Hou's work include Ferroptosis and cancer prognosis (12 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (9 papers). Xianliang Hou is often cited by papers focused on Ferroptosis and cancer prognosis (12 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (9 papers). Xianliang Hou collaborates with scholars based in China, United States and Japan. Xianliang Hou's co-authors include Yong Dai, Weiguo Sui, Minglin Ou, Jianing Chen, Hongyan Diao, Tiehu Li, Seok Min Yoon, Yanhu Wei, Shuangbing Han and Christos D. Malliakas and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Immunology and Scientific Reports.

In The Last Decade

Xianliang Hou

52 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xianliang Hou China 16 239 158 85 81 75 54 674
Alessandra Sabbatini Italy 14 186 0.8× 123 0.8× 95 1.1× 59 0.7× 185 2.5× 15 661
Miguel Ferreira Italy 15 73 0.3× 199 1.3× 38 0.4× 190 2.3× 51 0.7× 32 723
Wen Xu China 15 174 0.7× 143 0.9× 42 0.5× 166 2.0× 20 0.3× 31 806
Eiji Takahashi Japan 15 205 0.9× 162 1.0× 180 2.1× 138 1.7× 19 0.3× 57 950
Yesi Shi China 14 129 0.5× 383 2.4× 61 0.7× 225 2.8× 38 0.5× 23 958
Wenhao Wang China 17 87 0.4× 410 2.6× 278 3.3× 101 1.2× 58 0.8× 73 1.2k
Jiaji Mao China 19 118 0.5× 252 1.6× 75 0.9× 171 2.1× 44 0.6× 29 1.0k
Gary R. Mirick United States 22 183 0.8× 214 1.4× 253 3.0× 77 1.0× 54 0.7× 41 1.2k
Lisa Detering United States 20 175 0.7× 259 1.6× 144 1.7× 289 3.6× 20 0.3× 35 1.2k
José M. Rodrigo‐Muñoz Spain 16 204 0.9× 343 2.2× 34 0.4× 108 1.3× 69 0.9× 40 908

Countries citing papers authored by Xianliang Hou

Since Specialization
Citations

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

Fields of papers citing papers by Xianliang Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianliang Hou

This figure shows the co-authorship network connecting the top 25 collaborators of Xianliang Hou. A scholar is included among the top collaborators of Xianliang Hou 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 Xianliang Hou. Xianliang Hou 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.
Feng, Zhihui, Xueli Yang, Biao Zhang, et al.. (2024). Exploring the relationship between infectious agents and autoimmune diseases: a review. European Journal of Clinical Microbiology & Infectious Diseases. 43(8). 1505–1516.
2.
Yang, Xueli, et al.. (2023). Research progress on the application of single-cell sequencing in autoimmune diseases. Genes and Immunity. 24(5). 220–235. 4 indexed citations
3.
Liu, Zhenyu, et al.. (2023). Metabolomic and proteomic analyses of primary Sjogren’s syndrome. Immunobiology. 228(5). 152722–152722. 1 indexed citations
4.
Sha, Yu, et al.. (2023). High-throughput sequencing reveals Jatrorrhizine inhibits colorectal cancer growth by ferroptosis-related genes. BMC Medical Genomics. 16(1). 217–217. 4 indexed citations
5.
Hou, Xianliang, Xiaoping Hong, Minglin Ou, et al.. (2022). Analysis of Gene Expression and TCR/B Cell Receptor Profiling of Immune Cells in Primary Sjögren’s Syndrome by Single-Cell Sequencing. The Journal of Immunology. 209(2). 238–249. 32 indexed citations
6.
Chen, Wei, Yu Sha, Xianliang Hou, et al.. (2022). Microarray and bioinformatic analysis reveal the parental genes of m6A modified circRNAs as novel prognostic signatures in colorectal cancer. Frontiers in Oncology. 12. 939790–939790. 4 indexed citations
7.
Chen, Wenbiao, et al.. (2022). Identification and Characterization of Genes Related to the Prognosis of Hepatocellular Carcinoma Based on Single-Cell Sequencing. Pathology & Oncology Research. 28. 1610199–1610199. 2 indexed citations
8.
Hou, Xianliang, Wei Shi, Wenlong Hu, et al.. (2022). Multiplexed analysis of gene expression and chromatin accessibility of human umbilical cord blood using scRNA-Seq and scATAC-Seq. Molecular Immunology. 152. 207–214. 3 indexed citations
9.
Tang, Hui, et al.. (2022). Molecular Typing of Gastric Cancer Based on Invasion-Related Genes and Prognosis-Related Features. Frontiers in Oncology. 12. 848163–848163. 7 indexed citations
10.
Tang, Donge, et al.. (2022). Prospective Analysis of Proteins Carried in Extracellular Vesicles withClinical Outcome in Hepatocellular Carcinoma. Current Genomics. 23(2). 109–117. 2 indexed citations
11.
Wang, Guangyu, Shaofeng Jiang, Wentao Fan, et al.. (2022). Comprehensive analysis of TCR repertoire of COVID-19 patients in different infected stage. Genes & Genomics. 44(7). 813–822. 6 indexed citations
12.
13.
Hou, Xianliang, Ping Zeng, Xujun Zhang, et al.. (2019). Shorter TCR β-Chains Are Highly Enriched During Thymic Selection and Antigen-Driven Selection. Frontiers in Immunology. 10. 299–299. 23 indexed citations
14.
Hou, Xianliang, et al.. (2017). Direct measurement of B-cell receptor repertoire’s composition and variation in systemic lupus erythematosus. Genes and Immunity. 18(1). 22–27. 32 indexed citations
15.
Lu, Chong, Xianliang Hou, Minwei Li, et al.. (2017). Detection of AMA-M2 in human saliva: Potentials in diagnosis and monitoring of primary biliary cholangitis. Scientific Reports. 7(1). 796–796. 11 indexed citations
16.
Wang, Xiaobin, Weiguo Sui, Weiqing Wu, et al.. (2016). Whole-genome resequencing of 100 healthy individuals using DNA pooling. Experimental and Therapeutic Medicine. 12(5). 3143–3150. 3 indexed citations
17.
Hou, Xianliang, Chong Lu, Sisi Chen, et al.. (2016). High Throughput Sequencing of T Cell Antigen Receptors Reveals a Conserved TCR Repertoire. Medicine. 95(10). e2839–e2839. 21 indexed citations
18.
Sui, Weiguo, Can Zheng, Ming Yang, et al.. (2015). Study on 3′-UTR length polymorphism in peripheral blood mononuclear cells of uremia patient. Renal Failure. 38(1). 96–99. 4 indexed citations
19.
Sui, Weiguo, Xianliang Hou, Minglin Ou, et al.. (2015). CCDC40 mutation as a cause of primary ciliary dyskinesia: a case report and review of literature. The Clinical Respiratory Journal. 10(5). 614–621. 21 indexed citations
20.
Hou, Xianliang, et al.. (2015). Scalable lithography from Natural DNA Patterns via polyacrylamide gel. Scientific Reports. 5(1). 17872–17872. 2 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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