Yanan Xing

826 total citations
36 papers, 604 citations indexed

About

Yanan Xing is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Yanan Xing has authored 36 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Surgery. Recurrent topics in Yanan Xing's work include Gastric Cancer Management and Outcomes (5 papers), Cancer-related gene regulation (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Yanan Xing is often cited by papers focused on Gastric Cancer Management and Outcomes (5 papers), Cancer-related gene regulation (4 papers) and Glycosylation and Glycoproteins Research (3 papers). Yanan Xing collaborates with scholars based in China, Japan and United States. Yanan Xing's co-authors include Hua‐chuan Zheng, Zhenning Wang, Huimian Xu, Xiaoyan Xu, Yasuo Takano, Miao Yu, Xin Zhou, Bin Ma, Xue Yang and Xue Jiang and has published in prestigious journals such as Nature, Scientific Reports and The Journal of Physical Chemistry C.

In The Last Decade

Yanan Xing

36 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yanan Xing China 14 281 127 100 97 91 36 604
Gayani Pitiyage United Kingdom 10 288 1.0× 165 1.3× 64 0.6× 139 1.4× 91 1.0× 17 842
Xiaotong Zhao China 15 200 0.7× 75 0.6× 43 0.4× 115 1.2× 66 0.7× 50 520
Liwei Zhang China 15 377 1.3× 93 0.7× 57 0.6× 164 1.7× 107 1.2× 58 644
Daniela Palmieri Italy 16 172 0.6× 100 0.8× 108 1.1× 99 1.0× 91 1.0× 24 596
Mahmoud Al‐Azab China 12 273 1.0× 82 0.6× 62 0.6× 80 0.8× 73 0.8× 29 566
Jie Kuang China 12 244 0.9× 108 0.9× 81 0.8× 92 0.9× 164 1.8× 27 614
Xipeng Zhang China 14 293 1.0× 160 1.3× 70 0.7× 213 2.2× 36 0.4× 38 572
Danielle Callaway United States 10 392 1.4× 116 0.9× 45 0.5× 66 0.7× 51 0.6× 17 629

Countries citing papers authored by Yanan Xing

Since Specialization
Citations

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

Fields of papers citing papers by Yanan Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanan Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Yanan Xing. A scholar is included among the top collaborators of Yanan Xing 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 Yanan Xing. Yanan Xing 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, Yuqi, Xi Zhang, Yanan Xing, et al.. (2025). Atmospheric pressure plasma treatment increases the antioxidant capacity of the serum in vitro. Scientific Reports. 15(1). 19127–19127. 1 indexed citations
2.
Xing, Yanan, Bonan Li, Leilei Kang, et al.. (2024). Ultrastable Pt/Zn-Doped-Al2O3 Catalyst for Propane Dehydrogenation. The Journal of Physical Chemistry C. 129(1). 244–252. 1 indexed citations
3.
Wu, Zhonghua, et al.. (2024). Lymphatic vessel: Origin, heterogeneity, biological functions and therapeutic targets. Signal Transduction and Targeted Therapy. 9(1). 9–9. 41 indexed citations
4.
Xing, Yanan, Yi Li, Ye Wang, et al.. (2024). Therapeutic role of miR-19a/b protection from influenza virus infection in patients with coronary heart disease. Molecular Therapy — Nucleic Acids. 35(1). 102149–102149. 2 indexed citations
5.
Benjamin, Katherine, Rui Qi, Zhouchun Shang, et al.. (2024). Multiscale topology classifies cells in subcellular spatial transcriptomics. Nature. 630(8018). 943–949. 29 indexed citations
6.
7.
Liu, Rui, et al.. (2022). Flavor properties of Chinese noodles processed by dielectric drying. Frontiers in Nutrition. 9. 1007997–1007997. 7 indexed citations
8.
Wang, Zhe, et al.. (2022). Causal relationship between bipolar disorder and inflammatory bowel disease: A bidirectional two-sample mendelian randomization study. Frontiers in Genetics. 13. 970933–970933. 8 indexed citations
9.
Huang, Jinyu, Weilan Zhang, Yanan Xing, et al.. (2020). Increased Expression of LIPC Is Associated with Aggressive Phenotype of Borrmann Type 4 Gastric Cancer. Journal of Gastrointestinal Surgery. 25(4). 900–910. 4 indexed citations
10.
Huang, Jinyu, Yanan Xing, Xin Wang, et al.. (2019). The Prognosis Value of Lymphatic Vessel Invasion in pN0 Gastric Cancer Patients with Insufficient Examined Lymph Nodes. Journal of Gastrointestinal Surgery. 24(2). 299–306. 5 indexed citations
11.
Zhou, Xin, et al.. (2018). Predictive Value of Preoperative Sarcopenia in Patients with Gastric Cancer: a Meta-analysis and Systematic Review. Journal of Gastrointestinal Surgery. 22(11). 1890–1902. 72 indexed citations
12.
Miao, Zhi‐Feng, Xingyu Liu, Huimian Xu, et al.. (2016). Tbx3 overexpression in human gastric cancer is correlated with advanced tumor stage and nodal status and promotes cancer cell growth and invasion. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 469(5). 505–513. 18 indexed citations
13.
Feng, Shi‐Ting, et al.. (2014). Correlation between IRGM genetic polymorphisms and Crohn’s disease risk: a meta-analysis of case-control studies. Genetics and Molecular Research. 13(4). 10741–10753. 11 indexed citations
14.
Yu, Miao, Wenfeng Gou, Shuang Zhao, et al.. (2013). Beclin 1 expression is an independent prognostic factor for gastric carcinomas. Tumor Biology. 34(2). 1071–1083. 40 indexed citations
15.
Xiao, Li‐Jun, Shuang Zhao, Xin Zheng, et al.. (2012). Clinicopathological and Prognostic Significance of MUC-2, MUC-4 and MUC-5AC Expression in Japanese Gastric Carcinomas. Asian Pacific Journal of Cancer Prevention. 13(12). 6447–6453. 12 indexed citations
16.
Wang, Jianping, Wan Zhu, Xiaoyan Xu, et al.. (2012). COL4A3 expression correlates with pathogenesis, pathologic behaviors, and prognosis of gastric carcinomas. Human Pathology. 44(1). 77–86. 36 indexed citations
17.
Xing, Yanan, Xiaoyan Xu, Xue Yang, et al.. (2012). Role and clinicopathologic significance of CXC chemokine ligand 16 and chemokine (C-X-C motif) receptor 6 expression in gastric carcinomas. Human Pathology. 43(12). 2299–2307. 20 indexed citations
18.
Xu, Xiaoyan, Pu Xia, Miao Yu, et al.. (2012). The roles of REIC gene and its encoding product in gastric carcinoma. Cell Cycle. 11(7). 1414–1431. 20 indexed citations
19.
Zheng, Hua‐chuan, Pu Xia, Xiaoyan Xu, et al.. (2010). The pathobiological behaviors and prognosis associated with Japanese gastric adenocarcinomas of pure WHO histological subtypes.. PubMed. 25(4). 445–52. 32 indexed citations
20.
Xing, Yanan, Xue Yang, Xiaoyan Xu, et al.. (2010). The altered expression of ING5 protein is involved in gastric carcinogenesis and subsequent progression. Human Pathology. 42(1). 25–35. 42 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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