Mingbing Xiao

2.4k total citations
76 papers, 1.8k citations indexed

About

Mingbing Xiao is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Mingbing Xiao has authored 76 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 22 papers in Oncology and 21 papers in Cancer Research. Recurrent topics in Mingbing Xiao's work include Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (8 papers) and Pancreatic and Hepatic Oncology Research (8 papers). Mingbing Xiao is often cited by papers focused on Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (8 papers) and Pancreatic and Hepatic Oncology Research (8 papers). Mingbing Xiao collaborates with scholars based in China, United States and Germany. Mingbing Xiao's co-authors include Runzhou Ni, Cuihua Lu, Feng Jiang, Wenkai Ni, Jinxia Liu, Lishuai Qu, Jing Zhu, Baijun Bao, Lili Yu and Jie Ji and has published in prestigious journals such as The EMBO Journal, Cell stem cell and Experimental Cell Research.

In The Last Decade

Mingbing Xiao

74 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingbing Xiao China	26	1.2k	600	312	300	192	76	1.8k
Minmin Shi China	29	1.1k 0.9×	733 1.2×	335 1.1×	407 1.4×	149 0.8×	81	2.2k
Linna Guo China	16	1.1k 0.9×	806 1.3×	159 0.5×	265 0.9×	154 0.8×	40	1.7k
Ji‐Liang Li China	17	914 0.7×	609 1.0×	173 0.6×	291 1.0×	114 0.6×	41	1.6k
Chao Gao China	24	1.0k 0.8×	763 1.3×	241 0.8×	388 1.3×	167 0.9×	82	1.9k
Nan Yang China	23	1.1k 0.9×	621 1.0×	136 0.4×	236 0.8×	94 0.5×	69	1.8k
Wanfu Xu China	21	706 0.6×	386 0.6×	245 0.8×	263 0.9×	242 1.3×	60	1.3k
Hong Shu China	22	780 0.6×	309 0.5×	134 0.4×	245 0.8×	177 0.9×	94	1.4k
Jianni Qi China	26	1.1k 0.9×	625 1.0×	487 1.6×	243 0.8×	173 0.9×	69	2.0k

Countries citing papers authored by Mingbing Xiao

Since Specialization

Citations

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

Fields of papers citing papers by Mingbing Xiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingbing Xiao

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

All Works

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20 of 20 papers shown

Xu, Xuebing, Xuming Wu, Dandan Jin, et al.. (2025). Lactylation: the regulatory code of cellular life activity and a barometer of diseases. Cellular Oncology. 48(5). 1203–1217. 3 indexed citations

Zhang, Shuning, Lihua Peng, Yuchen Li, et al.. (2024). Maternal gut microbiota influence stem cell function in offspring. Cell stem cell. 32(2). 246–262.e8. 11 indexed citations

Ma, Xiaofei, et al.. (2024). Evaluation of deep eutectic solvents chiral selectors based on lactobionic acid in capillary electrophoresis. Analytical and Bioanalytical Chemistry. 416(6). 1417–1425. 7 indexed citations

Xu, Xuebing, Shengze Zhu, Jie Ji, et al.. (2023). Differences between migrasome, a ‘new organelle’, and exosome. Journal of Cellular and Molecular Medicine. 27(23). 3672–3680. 14 indexed citations

Zhao, Fanfan, Yongfen Xu, Zhi Liu, et al.. (2023). Extracellular vesicles from Zika virus‐infected cells display viral E protein that binds ZIKV‐neutralizing antibodies to prevent infection enhancement. The EMBO Journal. 42(6). e112096–e112096. 25 indexed citations

He, Jing, et al.. (2021). Association Between C-Peptide Level and Subclinical Myocardial Injury. Frontiers in Endocrinology. 12. 680501–680501. 6 indexed citations

Ni, Wenkai, Saiyan Bian, Mengqi Zhu, et al.. (2021). Identification and Validation of Ubiquitin-Specific Proteases as a Novel Prognostic Signature for Hepatocellular Carcinoma. Frontiers in Oncology. 11. 629327–629327. 15 indexed citations

Liu, Jinxia, Lishuai Qu, Chunhua Wan, et al.. (2020). A novel β2-AR/YB-1/β-catenin axis mediates chronic stress-associated metastasis in hepatocellular carcinoma. Oncogenesis. 9(9). 84–84. 26 indexed citations

Yi, Nan, et al.. (2020). Serum galectin‐3 as a biomarker for screening, early diagnosis, prognosis and therapeutic effect evaluation of pancreatic cancer. Journal of Cellular and Molecular Medicine. 24(19). 11583–11591. 20 indexed citations

10.

Zhang, Wei, Jingxin Zhang, Shiqing Zhang, et al.. (2020). Ubiquitin-specific protease 7 is a drug-able target that promotes hepatocellular carcinoma and chemoresistance. Cancer Cell International. 20(1). 28–28. 33 indexed citations

11.

Zhang, Jie, Qianqian Song, Mengqi Zhu, et al.. (2020). Identifying cancer-associated fibroblasts as emerging targets for hepatocellular carcinoma. Cell & Bioscience. 10(1). 127–127. 61 indexed citations

12.

Peng, Qingyun, Huifen Xu, Mingbing Xiao, & Linhua Wang. (2020). The small molecule PSSM0332 disassociates the CRL4A^DCAF8 E3 ligase complex to decrease the ubiquitination of NcoR1 and inhibit the inflammatory response in a mouse sepsis-induced myocardial dysfunction model. International Journal of Biological Sciences. 16(15). 2974–2988. 8 indexed citations

13.

Zhang, Susu, Jinxia Liu, Jing Zhu, et al.. (2019). Effects of TACE and preventive antiviral therapy on HBV reactivation and subsequent hepatitis in hepatocellular carcinoma: a meta-analysis. Japanese Journal of Clinical Oncology. 49(7). 646–655. 12 indexed citations

14.

Chen, Xiaojun, Jie Ji, Rui Zhou, et al.. (2019). Progress of Exosomes in the Diagnosis and Treatment of Pancreatic Cancer. Genetic Testing and Molecular Biomarkers. 23(3). 215–222. 14 indexed citations

15.

Xiao, Mingbing, Dandan Jin, Wenkai Ni, et al.. (2018). β2-AR regulates the expression of AKR1B1 in human pancreatic cancer cells and promotes their proliferation via the ERK1/2 pathway. Molecular Biology Reports. 45(6). 1863–1871. 18 indexed citations

16.

Liu, Zhaoxiu, Cuihua Lu, Yanmei Liu, et al.. (2018). High NUSAP1 expression predicts poor prognosis in colon cancer. Pathology - Research and Practice. 214(7). 968–973. 36 indexed citations

17.

Wu, Gang, et al.. (2017). The value of combined detection of serum gastrin-17 and pepsinogen in the early screening of gastric cancer. Biomedical Research-tokyo. 28(18). 7972–7976. 1 indexed citations

18.

Huang, Hua, Mingbing Xiao, Feng Jiang, et al.. (2017). Sex comb on midleg like-2 is a novel specific marker for the diagnosis of gastroenteropancreatic neuroendocrine tumors. Experimental and Therapeutic Medicine. 14(2). 1749–1755. 2 indexed citations

19.

Ni, Wenkai, Buyou Chen, Cuihua Lu, et al.. (2013). Overexpressed nuclear BAG‐1 in human hepatocellular carcinoma is associated with poor prognosis and resistance to doxorubicin. Journal of Cellular Biochemistry. 114(9). 2120–2130. 19 indexed citations

20.

Xiao, Mingbing, Runzhou Ni, Wenkai Ni, et al.. (2013). Serum GP73 is complementary to AFP and GGT-II for the diagnosis of hepatocellular carcinoma. Oncology Letters. 6(4). 1152–1158. 28 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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