Xun Yang

792 total citations
47 papers, 574 citations indexed

About

Xun Yang is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xun Yang has authored 47 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Surgery, 29 papers in Oncology and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xun Yang's work include Esophageal Cancer Research and Treatment (36 papers), Inflammatory Biomarkers in Disease Prognosis (23 papers) and Gastric Cancer Management and Outcomes (11 papers). Xun Yang is often cited by papers focused on Esophageal Cancer Research and Treatment (36 papers), Inflammatory Biomarkers in Disease Prognosis (23 papers) and Gastric Cancer Management and Outcomes (11 papers). Xun Yang collaborates with scholars based in China, Canada and United States. Xun Yang's co-authors include Ji‐Feng Feng, Ying Huang, Sheng Chen, Liang Wang, Qixun Chen, Liang Wang, Youhua Jiang, Ji Feng, Jin Liu and Xiangdong Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Xun Yang

42 papers receiving 568 citations

Peers

Xun Yang
Xun Yang
Citations per year, relative to Xun Yang Xun Yang (= 1×) peers Xuechao Liu

Countries citing papers authored by Xun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xun Yang. A scholar is included among the top collaborators of Xun 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 Xun Yang. Xun 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.
2.
Wang, Wenjie, et al.. (2025). Metabolic dysfunction-associated fatty liver disease as a mediator of urolithiasis risk: evidence from cross-sectional and genetic studies. International Journal of Medical Sciences. 22(4). 764–774.
3.
Feng, Ji‐Feng, Liang Wang, Xun Yang, & Qixun Chen. (2025). The systemic oxidative stress index predicts clinical outcomes of esophageal squamous cell carcinoma receiving neoadjuvant immunochemotherapy. Frontiers in Immunology. 16. 1535507–1535507.
4.
Feng, Jifeng, Liang Wang, Xun Yang, & Qixun Chen. (2024). Adjuvant immunotherapy after neoadjuvant immunochemotherapy and esophagectomy for esophageal squamous cell carcinoma: a real-world study. Frontiers in Immunology. 15. 1456193–1456193. 4 indexed citations
5.
Feng, Ji‐Feng, Liang Wang, Xun Yang, & Qixun Chen. (2024). Clinical significance of preoperative CALLY index for prognostication in patients with esophageal squamous cell carcinoma undergoing surgery. Scientific Reports. 14(1). 713–713. 30 indexed citations
6.
Feng, Ji‐Feng, Liang Wang, Xun Yang, Qixun Chen, & Xiangdong Cheng. (2023). Clinical utility of preoperative pan-immune-inflammation value (PIV) for prognostication in patients with esophageal squamous cell carcinoma. International Immunopharmacology. 123. 110805–110805. 18 indexed citations
7.
Feng, Ji‐Feng, Liang Wang, Xun Yang, Qixun Chen, & Xiangdong Cheng. (2023). Comprehensive nutritional index predicts clinical outcomes for esophageal squamous cell carcinoma receiving neoadjuvant immunotherapy combined with chemotherapy. International Immunopharmacology. 121. 110459–110459. 3 indexed citations
8.
Chen, Pengcheng, Liang Wang, Xun Yang, & Ji‐Feng Feng. (2023). Lymph node ratio is a prognostic indicator for locally advanced esophageal squamous cell carcinoma after neoadjuvant immunochemotherapy. SHILAP Revista de lepidopterología. 24(1). 159–169. 2 indexed citations
9.
Feng, Ji‐Feng, Liang Wang, Xun Yang, Qixun Chen, & Xiangdong Cheng. (2023). ASO Author Reflections: A Novel, Sensitive, and Effective Index in Predicting Therapeutic Response of Neoadjuvant Immunochemotherapy for Esophageal Squamous Cell Carcinoma. Annals of Surgical Oncology. 31(1). 241–242. 1 indexed citations
10.
Feng, Ji‐Feng, Liang Wang, Xun Yang, Qixun Chen, & Xiangdong Cheng. (2023). Pretreatment Pan-Immune-Inflammation Value (PIV) in Predicting Therapeutic Response and Clinical Outcomes of Neoadjuvant Immunochemotherapy for Esophageal Squamous Cell Carcinoma. Annals of Surgical Oncology. 31(1). 272–283. 14 indexed citations
11.
Feng, Jifeng, Liang Wang, Xun Yang, Qixun Chen, & Xiangdong Cheng. (2023). ASO Visual Abstract: Pretreatment Pan-Immune-Inflammation Value (PIV) in Predicting Therapeutic Response and Clinical Outcomes of Neoadjuvant Immunochemotherapy for Esophageal Squamous Cell Carcinoma. Annals of Surgical Oncology. 31(3). 2129–2130. 1 indexed citations
13.
Feng, Ji‐Feng, Liang Wang, Xun Yang, Qixun Chen, & Xiangdong Cheng. (2022). Pathologic Complete Response Prediction to Neoadjuvant Immunotherapy Combined with Chemotherapy in Resectable Locally Advanced Esophageal Squamous Cell Carcinoma: Real-World Evidence from Integrative Inflammatory and Nutritional Scores. Journal of Inflammation Research. Volume 15. 3783–3796. 13 indexed citations
14.
Feng, Ji‐Feng, Liang Wang, Xun Yang, Qixun Chen, & Xiangdong Cheng. (2022). Prediction of pathologic complete response prediction in patients with locally advanced esophageal squamous cell carcinoma treated with neoadjuvant immunochemotherapy: A real-world study. SHILAP Revista de lepidopterología. 23(1). 153–160. 7 indexed citations
15.
Yang, Sheng, Xun Yang, Huiwen Wang, et al.. (2022). Development and Validation of a Personalized Prognostic Prediction Model for Patients With Spinal Cord Astrocytoma. Frontiers in Medicine. 8. 802471–802471. 5 indexed citations
17.
Feng, Ji‐Feng, Liang Wang, & Xun Yang. (2021). The preoperative HALP score (hemoglobin, albumin, lymphocyte and platelet) is a useful predictor in patients with resectable esophageal squamous cell carcinoma. Bosnian Journal of Basic Medical Sciences. 21(6). 773–781. 31 indexed citations
18.
Yang, Xun, Changchun Wang, Jian‐Qiang Zhao, & Qixun Chen. (2016). Postesophagectomy airway–gastric fistula successfully treated with subcutaneous fascia flap, tracheal reconstruction, and gastric fistula drainage: A case report and literature review. Journal of Cancer Research and Therapeutics. 12(7). 225–225. 2 indexed citations
19.
Yang, Xun, Beibei Chen, Minghua Zhang, & Xinrong Wang. (2015). MicroRNA–126 inhibits the proliferation of lung cancer cell line A549. Asian Pacific Journal of Tropical Medicine. 8(3). 239–242. 13 indexed citations
20.
Yang, Xun, et al.. (2008). Serum pepsinogen detection in gastric cancer screening. Zhonghua xiaohua neijing zazhi. 25(10). 512–515. 3 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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