Ying Xue

878 total citations
44 papers, 524 citations indexed

About

Ying Xue is a scholar working on Infectious Diseases, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ying Xue has authored 44 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 12 papers in Molecular Biology and 12 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ying Xue's work include Prenatal Screening and Diagnostics (10 papers), Fetal and Pediatric Neurological Disorders (9 papers) and Tuberculosis Research and Epidemiology (6 papers). Ying Xue is often cited by papers focused on Prenatal Screening and Diagnostics (10 papers), Fetal and Pediatric Neurological Disorders (9 papers) and Tuberculosis Research and Epidemiology (6 papers). Ying Xue collaborates with scholars based in China, United States and Russia. Ying Xue's co-authors include Qi Jin, Bin Yu, Jiafeng Lu, Ting Wang, Guodong Zhao, Xingye Xu, Debra Harris, Ruth McCorkle, Dena Schulman‐Green and Jian Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.

In The Last Decade

Ying Xue

42 papers receiving 515 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying Xue China 14 173 160 141 83 69 44 524
Maura Carrai Italy 17 138 0.8× 23 0.1× 108 0.8× 138 1.7× 87 1.3× 42 944
Hafsa Aziz Pakistan 14 105 0.6× 159 1.0× 87 0.6× 28 0.3× 44 0.6× 44 670
Fumihiko Kawamoto Japan 14 70 0.4× 366 2.3× 76 0.5× 63 0.8× 68 1.0× 30 635
Asuka Sato Japan 11 63 0.4× 73 0.5× 55 0.4× 20 0.2× 25 0.4× 44 322
Ebru Yalçın Türkiye 12 34 0.2× 27 0.2× 64 0.5× 74 0.9× 103 1.5× 46 445
Isaac K. Quaye Namibia 12 61 0.4× 92 0.6× 117 0.8× 26 0.3× 31 0.4× 22 587
Mary C. Scott United States 15 150 0.9× 81 0.5× 200 1.4× 45 0.5× 34 0.5× 18 667
Vered Yahalom Israel 16 120 0.7× 38 0.2× 164 1.2× 115 1.4× 43 0.6× 53 925
Ju Yeong Kim South Korea 11 88 0.5× 46 0.3× 73 0.5× 18 0.2× 25 0.4× 59 455
Sarah Caddy United Kingdom 19 472 2.7× 46 0.3× 202 1.4× 192 2.3× 46 0.7× 32 1.0k

Countries citing papers authored by Ying Xue

Since Specialization
Citations

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

Fields of papers citing papers by Ying Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Xue

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Xue. A scholar is included among the top collaborators of Ying Xue 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 Ying Xue. Ying Xue 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.
Li, Qiao, Fei Zhao, Ying Xue, et al.. (2025). DC-SIGN (CD209)-mediated interactions between bacteria, lung cancer tissues, and macrophages promote cancer metastasis. Infectious Agents and Cancer. 20(1). 40–40. 1 indexed citations
2.
3.
Jiang, Ming, Rongfu Tu, Yiwen Pan, et al.. (2024). Patient-derived organoids and mini-PDX for predicting METN375S-mutated lung cancer patient clinical therapeutic response. Heliyon. 10(18). e37884–e37884. 1 indexed citations
4.
Luo, Ying, Ying Xue, Wei Liu, et al.. (2023). Convolutional neural network based on T-SPOT.TB assay promoting the discrimination between active tuberculosis and latent tuberculosis infection. Diagnostic Microbiology and Infectious Disease. 105(3). 115892–115892. 3 indexed citations
5.
Qiao, Longwei, Bin Zhang, Chunhua Zhang, et al.. (2022). A fetal fraction enrichment method reduces false negatives and increases test success rate of fetal chromosome aneuploidy detection in early pregnancy loss. Journal of Translational Medicine. 20(1). 345–345. 4 indexed citations
6.
7.
Xue, Ying, Bo Zhang, Haibin Huang, et al.. (2021). Immunoprotective effects of invasive Lactobacillus plantarum delivered nucleic acid vaccine coexpressing Trichinella spiralis CPF1 and murine interleukin-4. Veterinary Parasitology. 298. 109556–109556. 8 indexed citations
8.
Luo, Ying, Ying Xue, Liyan Mao, et al.. (2021). Activation Phenotype of Mycobacterium tuberculosis-Specific CD4+ T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection. Frontiers in Immunology. 12. 721013–721013. 13 indexed citations
9.
Zhang, Xiang, et al.. (2020). Hsa_circ_0084927 Regulates Cervical Cancer Advancement via Regulation of the miR-634/TPD52 Axis. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Xue, Ying, et al.. (2020). Sequencing Shorter cfDNA Fragments Decreases the False Negative Rate of Non-invasive Prenatal Testing. Frontiers in Genetics. 11. 280–280. 17 indexed citations
11.
Qiao, Longwei, Bin Yu, Yuting Liang, et al.. (2019). Sequencing shorter cfDNA fragments improves the fetal DNA fraction in noninvasive prenatal testing. American Journal of Obstetrics and Gynecology. 221(4). 345.e1–345.e11. 37 indexed citations
12.
Xue, Ying, Hong Li, Qin Zhang, et al.. (2018). Noninvasive Prenatal Screening for Fetal Sex Chromosome Aneuploidies at Two Next-Generation Sequencing Platforms.. PubMed. 48(4). 501–505. 3 indexed citations
13.
Yu, Bin, Hong Li, Ying-ping Chen, et al.. (2018). Clinical evaluation of NIPS for women at advanced maternal age: a multicenter retrospective study. The Journal of Maternal-Fetal & Neonatal Medicine. 32(24). 4080–4085. 9 indexed citations
14.
Liu, Tao, Xingye Xu, Wenchuan Leng, et al.. (2014). Analysis of gene expression changes in Trichophyton rubrum after skin interaction. Journal of Medical Microbiology. 63(5). 642–648. 16 indexed citations
15.
Zhou, Quanhong, Ying Xue, Tao Xu, et al.. (2012). Intrathecal PLCβ3 oligodeoxynucleotides antisense potentiates acute morphine efficacy and attenuates chronic morphine tolerance. Brain Research. 1472. 38–44. 26 indexed citations
16.
Wú, Zhìqiáng, Ying Xue, Bei Wang, Jiang Du, & Qi Jin. (2011). Broad-Spectrum Antiviral Activity of RNA Interference against Four Genotypes of Japanese Encephalitis Virus Based on Single MicroRNA Polycistrons. PLoS ONE. 6(10). e26304–e26304. 29 indexed citations
17.
Xu, Xingye, Wenchuan Leng, Jie Dong, et al.. (2011). Global gene expression profiles for the growth phases of Trichophyton rubrum. Science China Life Sciences. 54(7). 675–682. 5 indexed citations
18.
Xue, Ying, et al.. (2007). Pain Attitudes and Knowledge Among RNs, Pharmacists, and Physicians on an Inpatient Oncology Service. Clinical journal of oncology nursing. 11(5). 687–695. 34 indexed citations
19.
Bai, Yinlan, et al.. (2003). Cloning and expression of secreted protein MPT64 of Mycobacterium tuberculosis. Di-Si Junyi Daxue xuebao. 24(1). 43–45. 1 indexed citations
20.
Xue, Ying, et al.. (2002). Immunobiological properties of secretory protein Ag85B from Mycobacterium tuberculosis. Di-Si Junyi Daxue xuebao. 23(13). 1203–1205. 1 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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