Xin Yi

1.4k total citations
66 papers, 837 citations indexed

About

Xin Yi is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research and Oncology. According to data from OpenAlex, Xin Yi has authored 66 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Pulmonary and Respiratory Medicine, 31 papers in Cancer Research and 22 papers in Oncology. Recurrent topics in Xin Yi's work include Cancer Genomics and Diagnostics (25 papers), Lung Cancer Treatments and Mutations (21 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Xin Yi is often cited by papers focused on Cancer Genomics and Diagnostics (25 papers), Lung Cancer Treatments and Mutations (21 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Xin Yi collaborates with scholars based in China, United States and Hong Kong. Xin Yi's co-authors include John M. Luk, Yanfang Guan, Jirun Peng, George Lau, Xi-sheng Leng, Sheung Tat Fan, Xin‐Yuan Guan, Nikki P. Lee, Laura Beretta and Lianpeng Chang and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Xin Yi

56 papers receiving 831 citations

Peers

Xin Yi

ONCOL

PRM

IMMUN

Chundong Gu China

Hiroaki Ozasa Japan

Long Bai China

Vildan Yasasever Türkiye

Xufeng Pan China

Lin Guo China

Runsen Jin China

Fumiya Hongo Japan

Teresa Di Desidero Italy

Chundong Gu China

Xin Yi

299 ×0.8

ONCOL

535 ×1.6

357 ×1.2

PRM

238 ×1.0

90 ×0.7

IMMUN

Citations per year, relative to Xin Yi Xin Yi (= 1×) peers Chundong Gu

Countries citing papers authored by Xin Yi

Since Specialization

Citations

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

Fields of papers citing papers by Xin Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Yi. A scholar is included among the top collaborators of Xin Yi 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 Xin Yi. Xin Yi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yi, Xin, et al.. (2024). Self-Supervised Contrastive Learning for Automated Segmentation of Brain Tumor MRI Images in Schizophrenia. International Journal of Computational Intelligence Systems. 17(1).

Wang, Deqiang, Xiaofeng Chen, Yian Du, et al.. (2022). Associations of HER2 Mutation With Immune-Related Features and Immunotherapy Outcomes in Solid Tumors. Frontiers in Immunology. 13. 799988–799988. 13 indexed citations

Ai, Xinghao, Jiuwei Cui, Jiexia Zhang, et al.. (2020). Clonal Architecture of EGFR Mutation Predicts the Efficacy of EGFR-Tyrosine Kinase Inhibitors in Advanced NSCLC: A Prospective Multicenter Study (NCT03059641). Clinical Cancer Research. 27(3). 704–712. 31 indexed citations

Sun, Hao, Si‐Yang Maggie Liu, Jiaying Zhou, et al.. (2020). Specific TP53 subtype as biomarker for immune checkpoint inhibitors in lung adenocarcinoma. EBioMedicine. 60. 102990–102990. 113 indexed citations

Jiang, Jiahong, Song Ye, Yaping Xu, et al.. (2020). Circulating Tumor DNA as a Potential Marker to Detect Minimal Residual Disease and Predict Recurrence in Pancreatic Cancer. Frontiers in Oncology. 10. 1220–1220. 50 indexed citations

Qiao, Guoliang, Xiaoli Wang, Lei Zhou, et al.. (2018). Autologous Dendritic Cell-Cytokine Induced Killer Cell Immunotherapy Combined with S-1 Plus Cisplatin in Patients with Advanced Gastric Cancer: A Prospective Study. Clinical Cancer Research. 25(5). 1494–1504. 52 indexed citations

Zhao, Hui, Jian Bai, Fan Yang, et al.. (2018). P2.03-26 A Prospective Cohort Study of TMB and Determinants of ctDNA Detection by Comprehensive Genomic Profiling in Stage I Lung Adenocarcinomas. Journal of Thoracic Oncology. 13(10). S726–S726.

Wang, Wenxian, C. Xu, Yanping Chen, et al.. (2018). TP53 mutations predict for poor survival in ALK rearrangement lung adenocarcinoma patients treated with crizotinib. Journal of Thoracic Disease. 10(5). 2991–2998. 32 indexed citations

Jiang, Ni, Guoliang Qiao, Xiaoli Wang, et al.. (2017). Dendritic Cell/Cytokine-Induced Killer Cell Immunotherapy Combined with S-1 in Patients with Advanced Pancreatic Cancer: A Prospective Study. Clinical Cancer Research. 23(17). 5066–5073. 64 indexed citations

10.

Yi, Xin, et al.. (2017). Paroxysmal atrial fibrillation recognition based on multi-scale Rényi entropy of ECG. Technology and Health Care. 25(1_suppl). 189–196. 5 indexed citations

11.

Ren, Xiaomeng, Xin Zhang, Yanyan Zhu, et al.. (2017). Research Article Intestinal Dysbiosis Increases the Incidence of Malignant Melanoma in Mice Model. Genetics and Molecular Research. 16(4). 1 indexed citations

12.

Wei, Wei, et al.. (2017). A Retrospective Analysis of Clinical Utility of AJCC 8th Edition Cancer Staging System for Breast Cancer. World Journal of Oncology. 8(3). 71–75. 15 indexed citations

13.

Gu, Chunyan, et al.. (2016). Study of Gefitinib and Pemetrexed as First-Line Treatment in Patients with Advanced Non-Small Cell Lung Cancer Harboring EGFR Mutation. Pathology & Oncology Research. 22(4). 763–768. 28 indexed citations

14.

Zhang, Shukun, Menglan Zhang, Hong Huang, et al.. (2016). High glucose-induced Matrilin-2 expression in mouse mesangial cells was mediated by transforming growth factor beta 1 (TGF-β1). Biochemical and Biophysical Research Communications. 474(2). 303–308. 3 indexed citations

15.

Wang, Zusen, Weidong Guo, Liqun Wu, et al.. (2015). Use of Cytokeratin-19 Concentration to Assess Early Recurrence and Prognosis of Hepatitis B Virus-Related Hepatocellular Carcinoma following Radical Resection in Patients with a Low Serum Alpha-Fetoprotein Concentration. PLoS ONE. 10(11). e0142727–e0142727. 5 indexed citations

16.

Hu, Xiaobo, Pengfei Zhang, Haijun Su, et al.. (2011). Intravascular Ultrasound Area Strain Imaging Used to Characterize Tissue Components and Assess Vulnerability of Atherosclerotic Plaques in a Rabbit Model. Ultrasound in Medicine & Biology. 37(10). 1579–1587. 13 indexed citations

17.

Zhang, Pengfei, Haijun Su, Mei Zhang, et al.. (2010). Atherosclerotic plaque components characterization and macrophage infiltration identification by intravascular ultrasound elastography based on b-mode analysis: validation in vivo. International journal of cardiac imaging. 27(1). 39–49. 14 indexed citations

18.

Chen, Lei, David Ho, Nikki P.Y. Lee, et al.. (2010). Enhanced Detection of Early Hepatocellular Carcinoma by Serum SELDI-TOF Proteomic Signature Combined with Alpha-Fetoprotein Marker. Annals of Surgical Oncology. 17(9). 2518–2525. 43 indexed citations

19.

Yi, Xin, John M. Luk, Nikki P. Lee, et al.. (2007). Association of Mortalin (HSPA9) with Liver Cancer Metastasis and Prediction for Early Tumor Recurrence. Molecular & Cellular Proteomics. 7(2). 315–325. 132 indexed citations

20.

Lu, Ming‐Chi, et al.. (2001). [Clinical significance of the expression of lung resistance protein in non-small cell lung carcinomas].. PubMed. 24(8). 458–60. 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.

Explore authors with similar magnitude of impact