Xuexi Yang

1.3k total citations
95 papers, 862 citations indexed

About

Xuexi Yang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Xuexi Yang has authored 95 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 28 papers in Genetics and 25 papers in Cancer Research. Recurrent topics in Xuexi Yang's work include Cancer Genomics and Diagnostics (20 papers), Prenatal Screening and Diagnostics (18 papers) and Genetic factors in colorectal cancer (12 papers). Xuexi Yang is often cited by papers focused on Cancer Genomics and Diagnostics (20 papers), Prenatal Screening and Diagnostics (18 papers) and Genetic factors in colorectal cancer (12 papers). Xuexi Yang collaborates with scholars based in China, United States and Belgium. Xuexi Yang's co-authors include Fenxia Li, Ying-Song Wu, Yingsong Wu, Xin Li, Xiang-Ming Zhai, Ming Li, Zhiwei Guo, Mi Ma, Yang Gao and Ming Li and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Xuexi Yang

86 papers receiving 856 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuexi Yang China 18 452 205 185 129 102 95 862
Lingmin Hu China 17 357 0.8× 187 0.9× 86 0.5× 91 0.7× 92 0.9× 46 845
Christian Daviaud France 13 420 0.9× 210 1.0× 90 0.5× 109 0.8× 41 0.4× 20 698
Aggeliki Kοlialexi Greece 19 387 0.9× 162 0.8× 165 0.9× 346 2.7× 92 0.9× 47 1.1k
Christopher G. Fenton Norway 16 334 0.7× 176 0.9× 186 1.0× 67 0.5× 66 0.6× 30 814
Öztürk Özdemir Türkiye 16 284 0.6× 85 0.4× 98 0.5× 62 0.5× 85 0.8× 102 910
Jana Březinová Czechia 20 300 0.7× 81 0.4× 101 0.5× 58 0.4× 133 1.3× 94 1.1k
Masaru Yokoyama Japan 16 476 1.1× 69 0.3× 114 0.6× 99 0.8× 57 0.6× 50 917
Ian M. Wilson Canada 13 499 1.1× 142 0.7× 167 0.9× 53 0.4× 39 0.4× 16 678
Yang Wan China 15 446 1.0× 182 0.9× 77 0.4× 89 0.7× 20 0.2× 59 789
C. Sloane Furniss United States 8 543 1.2× 164 0.8× 79 0.4× 36 0.3× 81 0.8× 13 895

Countries citing papers authored by Xuexi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xuexi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuexi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xuexi Yang. A scholar is included among the top collaborators of Xuexi Yang 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 Xuexi Yang. Xuexi Yang 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.
Guo, Zhiwei, Ke Wang, Xiang Huang, et al.. (2025). Genome-wide nucleosome footprints of plasma cfDNA predict preterm birth: A case-control study. PLoS Medicine. 22(4). e1004571–e1004571. 1 indexed citations
2.
Yang, Xu, et al.. (2025). Applying the National Genomic DNA Reference Materials to Evaluate the Performance of Nanopore Sequencing in Identifying Thalassemia Variants. Journal of Clinical Laboratory Analysis. 39(11). e70044–e70044.
3.
Li, Kun, Zhiwei Guo, Fenxia Li, et al.. (2024). Non-invasive determination of gene expression in placental tissue using maternal plasma cell-free DNA fragmentation characters. Gene. 928. 148789–148789. 2 indexed citations
4.
Yang, Xu, Qing Liu, Zhiwei Guo, et al.. (2024). Promoter profiles in plasma CfDNA exhibits a potential utility of predicting the efficacy of neoadjuvant chemotherapy in breast cancer patients. Breast Cancer Research. 26(1). 112–112. 1 indexed citations
5.
Yang, Xuexi, et al.. (2024). The biological function of Urtica spp. and its application in poultry, fish and livestock. Frontiers in Veterinary Science. 11. 1430362–1430362. 2 indexed citations
6.
7.
Yang, Anni, et al.. (2022). Uncovering Novel Prognostic Factors of Sudden Sensorineural Hearing Loss by Whole-Genome Sequencing of Cell-Free DNA. The Journal of International Advanced Otology. 18(6). 459–464. 1 indexed citations
8.
Yang, Xu, Bo‐Wei Han, Zhiwei Guo, et al.. (2021). Association between the nucleosome footprint of plasma DNA and neoadjuvant chemotherapy response for breast cancer. npj Breast Cancer. 7(1). 35–35. 14 indexed citations
9.
Chen, Juanjuan, Qiang Li, Fenxia Li, et al.. (2021). The spectrum of FVIII gene variants detected by next generation sequencing in 236 Chinese non-inversion hemophilia A pedigrees. Thrombosis Research. 202. 8–13. 8 indexed citations
10.
Han, Bo‐Wei, Xu Yang, Shoufang Qu, et al.. (2021). A Deep-Learning Pipeline for TSS Coverage Imputation From Shallow Cell-Free DNA Sequencing. Frontiers in Medicine. 8. 684238–684238. 3 indexed citations
11.
Xu, Jun, Shoufang Qu, Nan Sun, et al.. (2020). Construction of a reference material panel for detecting KRAS / NRAS / EGFR / BRAF / MET mutations in plasma ctDNA. Journal of Clinical Pathology. 74(5). 314–320. 7 indexed citations
12.
Yin, Zhenzhen, Shoufang Qu, Chuanfeng Huang, et al.. (2020). Development of a genomic DNA reference material panel for thalassemia genetic testing. International Journal of Laboratory Hematology. 42(5). 510–517. 4 indexed citations
13.
Gu, Yong, et al.. (2020). Metformin Increases the Chemosensitivity of Pancreatic Cancer Cells to Gemcitabine by Reversing EMT Through Regulation DNA Methylation of miR-663. SHILAP Revista de lepidopterología.
14.
Yang, Xiaoyan, Yirong Chen, Wen Zhang, et al.. (2020). Association Between Inflammatory Biomarkers and Cognitive Dysfunction Analyzed by MRI in Diabetes Patients. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Guo, Zhiwei, Fang Yang, Jun Zhang, et al.. (2020). Whole‐Genome Promoter Profiling of Plasma DNA Exhibits Diagnostic Value for Placenta‐Origin Pregnancy Complications. Advanced Science. 7(7). 1901819–1901819. 36 indexed citations
16.
Han, Bo‐Wei, Fang Yang, Zhiwei Guo, et al.. (2020). Noninvasive inferring expressed genes and in vivo monitoring of the physiology and pathology of pregnancy using cell-free DNA. American Journal of Obstetrics and Gynecology. 224(3). 300.e1–300.e9. 12 indexed citations
17.
Zhang, Fan, Ying Liang, Xuexi Yang, et al.. (2019). A meta-analysis of the efficacy and safety of PD-1/PD-L1 immune checkpoint inhibitors as treatments for metastatic bladder cancer. SHILAP Revista de lepidopterología. 1 indexed citations
18.
19.
Yao, Guangyu, et al.. (2014). Risk-Association of Five SNPs in TOX3/LOC643714 with Breast Cancer in Southern China. International Journal of Molecular Sciences. 15(2). 2130–2141. 22 indexed citations
20.
Yang, Xuexi, Hui Chen, Wenzhong Xu, Zhenyan He, & Mi Ma. (2007). Hyperaccumulation of arsenic by callus, sporophytes and gametophytes of Pteris vittata cultured in vitro. Plant Cell Reports. 26(10). 1889–1897. 22 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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