Shangmin Xiong

480 total citations
21 papers, 339 citations indexed

About

Shangmin Xiong is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Shangmin Xiong has authored 21 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 10 papers in Pathology and Forensic Medicine and 9 papers in Molecular Biology. Recurrent topics in Shangmin Xiong's work include Colorectal Cancer Screening and Detection (12 papers), Genetic factors in colorectal cancer (10 papers) and Cancer Genomics and Diagnostics (6 papers). Shangmin Xiong is often cited by papers focused on Colorectal Cancer Screening and Detection (12 papers), Genetic factors in colorectal cancer (10 papers) and Cancer Genomics and Diagnostics (6 papers). Shangmin Xiong collaborates with scholars based in China and United States. Shangmin Xiong's co-authors include Guodong Zhao, Minxue Zheng, Yong Ma, Xiaoyu Liu, Sujuan Fei, Shiming Li, Yun Zhu, Yi Liu, Hui Li and Ziwen Wang and has published in prestigious journals such as Journal of Clinical Oncology, Analytical Biochemistry and Gene.

In The Last Decade

Shangmin Xiong

21 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shangmin Xiong China 11 186 161 139 110 76 21 339
Hoi Cheong Siu China 6 133 0.7× 139 0.9× 130 0.9× 72 0.7× 58 0.8× 7 307
Bernard C. H. Lee China 4 130 0.7× 182 1.1× 133 1.0× 169 1.5× 32 0.4× 5 343
Haruko Kunitomi Japan 9 183 1.0× 71 0.4× 112 0.8× 39 0.4× 34 0.4× 17 311
Laura Arthur United Kingdom 9 102 0.5× 153 1.0× 139 1.0× 44 0.4× 74 1.0× 21 271
Lu-Ping Yang China 8 121 0.7× 108 0.7× 81 0.6× 30 0.3× 73 1.0× 13 273
Maxim Ivanov Russia 8 151 0.8× 88 0.5× 184 1.3× 59 0.5× 71 0.9× 24 302
Alexandre Ho-Pun-Cheung France 11 130 0.7× 154 1.0× 63 0.5× 44 0.4× 23 0.3× 15 280
Zehui Hou China 11 265 1.4× 55 0.3× 223 1.6× 29 0.3× 34 0.4× 20 341
Liangru Fei China 11 292 1.6× 70 0.4× 103 0.7× 27 0.2× 71 0.9× 13 353
Nicholas Badham United Kingdom 2 271 1.5× 185 1.1× 46 0.3× 106 1.0× 26 0.3× 2 328

Countries citing papers authored by Shangmin Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Shangmin Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shangmin Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Shangmin Xiong. A scholar is included among the top collaborators of Shangmin Xiong 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 Shangmin Xiong. Shangmin Xiong 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.
Pei, Bing, Guodong Zhao, Yue Wang, et al.. (2023). Identifying potential DNA methylation markers for the detection of esophageal cancer in plasma. Frontiers in Genetics. 14. 1222617–1222617. 2 indexed citations
2.
Li, Hui, Qianqian Wu, Jie Wang, et al.. (2023). A sensitive and robust plasma-based DNA methylation panel for early detection of target gastrointestinal cancers. Neoplasia. 46. 100941–100941. 8 indexed citations
3.
Zhao, Guodong, Shangmin Xiong, Liming Gao, et al.. (2022). A simplified multiplex methylated DNA testing for early detection of colorectal cancer in stool DNA. BMC Gastroenterology. 22(1). 428–428. 3 indexed citations
4.
Zhao, Guodong, Kai Wang, Shangmin Xiong, et al.. (2022). Clinical performance of a liquid biopsy test based on the detection of multiple DNA methylation biomarkers for early detection of gastrointestinal cancers.. Journal of Clinical Oncology. 40(16_suppl). e16096–e16096. 2 indexed citations
5.
Li, Hui, Guodong Zhao, Yahui Guo, et al.. (2022). Feasibility and reproducibility of a plasma-based multiplex DNA methylation assay for early detection of gastric cancer. Pathology - Research and Practice. 238. 154086–154086. 8 indexed citations
6.
Zhao, Guodong, Weihua Ma, Xinmin Chen, et al.. (2022). Real‐world application of a fast stool DNA test for colorectal cancer screening in primary screening positive population. Cancer Medicine. 12(7). 7689–7698. 2 indexed citations
7.
Cao, Yang, Guodong Zhao, Yaping Cao, et al.. (2021). Feasibility of Methylated CLIP4 in Stool for Early Detection of Colorectal Cancer: A Training Study in Chinese Population. Frontiers in Oncology. 11. 647066–647066. 10 indexed citations
8.
9.
Cao, Yaping, Guodong Zhao, Xiaoyu Liu, et al.. (2021). KCNQ5 and C9orf50 Methylation in Stool DNA for Early Detection of Colorectal Cancer. Frontiers in Oncology. 10. 621295–621295. 19 indexed citations
10.
Chen, Zhiliang, Guodong Zhao, Kai Wang, et al.. (2021). Blood leukocytes methylation levels analysis indicate methylated plasma test is a promising tool for colorectal cancer early detection. Journal of Cancer. 12(12). 3678–3685. 16 indexed citations
11.
Zhao, Guodong, Xiaoyu Liu, Yi Liu, et al.. (2021). Methylated SFRP2 and SDC2 in stool specimens for Colorectal Cancer early detection: A cost-effective strategy for Chinese population. Journal of Cancer. 12(9). 2665–2672. 14 indexed citations
12.
Zhang, Guoying, Fang He, Guodong Zhao, et al.. (2021). Combining Serum DNA Methylation Biomarkers and Protein Tumor Markers Improved Clinical Sensitivity for Early Detection of Colorectal Cancer. International Journal of Genomics. 2021. 1–11. 8 indexed citations
13.
Liu, Yi, Guodong Zhao, Xiaoyu Liu, et al.. (2020). Feasibility of Plasma-Methylated SFRP2 for Early Detection of Gastric Cancer. Cancer Control. 27(2). 1148357823–1148357823. 23 indexed citations
14.
Zhao, Guodong, Yong Ma, Hui Li, et al.. (2020). A novel plasma based early colorectal cancer screening assay base on methylated SDC2 and SFRP2. Clinica Chimica Acta. 503. 84–89. 30 indexed citations
15.
Zhao, Guodong, Xiaoyu Liu, Yi Liu, et al.. (2020). Aberrant DNA Methylation of SEPT9 and SDC2 in Stool Specimens as an Integrated Biomarker for Colorectal Cancer Early Detection. Frontiers in Genetics. 11. 643–643. 46 indexed citations
16.
Liu, Yi, Guodong Zhao, Hui Li, et al.. (2020). Performance Comparison Between Plasma and Stool Methylated SEPT9 Tests for Detecting Colorectal Cancer. Frontiers in Genetics. 11. 324–324. 26 indexed citations
17.
Liu, Zhaocheng, Jinli Sun, Guodong Zhao, et al.. (2020). Transient stem-loop structure of nucleic acid template may interfere with polymerase chain reaction through endonuclease activity of Taq DNA polymerase. Gene. 764. 145095–145095. 10 indexed citations
18.
Zhao, Guodong, Hui Li, Zixuan Yang, et al.. (2019). Multiplex methylated DNA testing in plasma with high sensitivity and specificity for colorectal cancer screening. Cancer Medicine. 8(12). 5619–5628. 65 indexed citations
19.
Sun, Hongbin, Haiming Dai, Jiahai Zhang, et al.. (2006). Solution structure of calponin homology domain of Human MICAL-1. Journal of Biomolecular NMR. 36(4). 295–300. 19 indexed citations
20.
Dai, Haiming, Wei Huang, Jian Xu, et al.. (2006). Binding model of human coactosin-like protein with filament actin revealed by mutagenesis. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1764(11). 1688–1700. 18 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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