Xiaoming Xing

1.9k total citations
90 papers, 1.3k citations indexed

About

Xiaoming Xing is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Xiaoming Xing has authored 90 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 27 papers in Molecular Biology and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Xiaoming Xing's work include Lymphoma Diagnosis and Treatment (11 papers), Genetic factors in colorectal cancer (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Xiaoming Xing is often cited by papers focused on Lymphoma Diagnosis and Treatment (11 papers), Genetic factors in colorectal cancer (7 papers) and Endoplasmic Reticulum Stress and Disease (6 papers). Xiaoming Xing collaborates with scholars based in China, United States and Malaysia. Xiaoming Xing's co-authors include Enping Xu, Qiong Huang, Maode Lai, Andrew L. Feldman, Xiaoping Xia, Yonggang Liu, Bingjian Lü, Bing Luo, Dongliang Lin and Lili Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Neuroscience.

In The Last Decade

Xiaoming Xing

85 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoming Xing China 22 483 438 266 246 219 90 1.3k
Wen‐Ying Lee Taiwan 22 323 0.7× 600 1.4× 334 1.3× 163 0.7× 156 0.7× 56 1.3k
Tomoyuki Nagai Japan 24 528 1.1× 599 1.4× 260 1.0× 178 0.7× 409 1.9× 95 1.7k
Laura Pizzuti Italy 23 906 1.9× 454 1.0× 410 1.5× 140 0.6× 333 1.5× 96 1.7k
Haiyan Yang China 23 498 1.0× 604 1.4× 347 1.3× 132 0.5× 404 1.8× 84 1.6k
Dariusz Lange Poland 24 338 0.7× 705 1.6× 326 1.2× 162 0.7× 195 0.9× 141 1.7k
Juan A. Recio Spain 23 526 1.1× 1.0k 2.3× 215 0.8× 135 0.5× 296 1.4× 53 1.8k
Ralph Fritsch Germany 23 678 1.4× 903 2.1× 429 1.6× 131 0.5× 292 1.3× 67 1.8k
Dayong Zheng China 19 476 1.0× 835 1.9× 517 1.9× 163 0.7× 331 1.5× 62 1.5k
Özgül Sağol Türkiye 20 461 1.0× 325 0.7× 155 0.6× 114 0.5× 210 1.0× 102 1.2k
JiHoon Kang South Korea 21 493 1.0× 642 1.5× 476 1.8× 86 0.3× 275 1.3× 63 1.4k

Countries citing papers authored by Xiaoming Xing

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Xing

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Xing. A scholar is included among the top collaborators of Xiaoming 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 Xiaoming Xing. Xiaoming 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.
Wu, Siyu, et al.. (2024). p53 Immunohistochemistry staining patterns and prognosis significance in 212 cases of non-endometrioid endometrial cancer. Pathology - Research and Practice. 263. 155595–155595. 4 indexed citations
2.
3.
Wang, Ping, Cheng Guo, Song Li, et al.. (2024). TRAIP enhances progression of tongue squamous cell carcinoma through EMT and Wnt/β-catenin signaling by interacting with DDX39A. BMC Cancer. 24(1). 1481–1481. 1 indexed citations
4.
Xing, Xiaoming, et al.. (2023). Regulation of the Ca2+Channel CaV1.2 Supports Spatial Memory and Its Flexibility and LTD. Journal of Neuroscience. 43(30). 5559–5573. 3 indexed citations
5.
Zhang, Xiangyan, et al.. (2023). PCK1 activates oncogenic autophagy via down-regulation Serine phosphorylation of UBAP2L and antagonizes colorectal cancer growth. Cancer Cell International. 23(1). 68–68. 6 indexed citations
6.
Xing, Xiaoming, et al.. (2021). Graphene Oxide-Gold Star Construct on Triangular Electrodes for Alzheimer’s Disease Identification. Journal of Analytical Methods in Chemistry. 2021. 1–8. 23 indexed citations
7.
Liu, Shanglong, Xiaoning Kang, Xiaojuan Yang, et al.. (2021). Establishment and Clinical Application of an Artificial Intelligence Diagnostic Platform for Identifying Rectal Cancer Tumor Budding. Frontiers in Oncology. 11. 626626–626626. 11 indexed citations
8.
Sun, Xiao, Yunpeng Xuan, Yandong Zhao, et al.. (2020). Relevance and prognostic ability of Twist, Slug and tumor spread through air spaces in lung adenocarcinoma. Cancer Medicine. 9(6). 1986–1998. 16 indexed citations
9.
10.
Wang, Lili, et al.. (2020). Overexpression of SAPCD2 correlates with proliferation and invasion of colorectal carcinoma cells. Cancer Cell International. 20(1). 43–43. 14 indexed citations
11.
Wang, Zusen, Yongxing Li, Lu Zhang, et al.. (2019). SMAD4 Y353C promotes the progression of PDAC. BMC Cancer. 19(1). 1037–1037. 19 indexed citations
12.
13.
Zhang, Yunjian, Sharon Lim, Kayoko Hosaka, et al.. (2017). A Zebrafish Model Discovers a Novel Mechanism of Stromal Fibroblast-Mediated Cancer Metastasis. Clinical Cancer Research. 23(16). 4769–4779. 66 indexed citations
14.
Zhou, Xuan, Xiaoming Xing, Shuping Zhang, et al.. (2016). Glucose-regulated protein 78 contributes to the proliferation and tumorigenesis of human colorectal carcinoma via AKT and ERK pathways. Oncology Reports. 36(5). 2723–2730. 10 indexed citations
15.
Wang, Haijuan, Hui Li, Xiaoming Xing, Chengquan Zhao, & Bing Luo. (2015). Genotypic analysis and latent membrane protein 1 expression of Epstein-Barr virus in extranodal NK/T-cell lymphoma from Northern Chinese patients. Archives of Virology. 160(8). 2071–2074. 1 indexed citations
16.
Li, Yujun, et al.. (2013). Stable gene-silence of Kif2a synergistic with 5-fluorouracil suppresses oral tongue squamous cell carcinoma growth in vitro and in vivo. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 116(1). 49–54. 9 indexed citations
17.
Wang, Yun, Xia Zhang, Chao Yan, et al.. (2010). New variations of Epstein–Barr virus‐encoded small RNA genes in nasopharyngeal carcinomas, gastric carcinomas, and healthy donors in northern China. Journal of Medical Virology. 82(5). 829–836. 24 indexed citations
18.
Miao, Zhimin, Jing Wang, Bei Wang, et al.. (2009). Insulin resistance acts as an independent risk factor exacerbating high-purine diet induced renal injury and knee joint gouty lesions. Inflammation Research. 58(10). 659–668. 28 indexed citations
19.
Xu, Enping, Xiaoping Xia, Bingjian Lü, et al.. (2007). Association of matrix metalloproteinase‐2 and ‐9 promoter polymorphisms with colorectal cancer in Chinese. Molecular Carcinogenesis. 46(11). 924–929. 34 indexed citations
20.
Xu, Enping, Maode Lai, Bingjian Lv, et al.. (2004). A single nucleotide polymorphism in the matrix metalloproteinase-2 promoter is associated with colorectal cancer. Biochemical and Biophysical Research Communications. 324(3). 999–1003. 66 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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