Xiaona Meng

645 total citations · 1 hit paper
17 papers, 446 citations indexed

About

Xiaona Meng is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Xiaona Meng has authored 17 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Immunology. Recurrent topics in Xiaona Meng's work include interferon and immune responses (3 papers), RNA modifications and cancer (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Xiaona Meng is often cited by papers focused on interferon and immune responses (3 papers), RNA modifications and cancer (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Xiaona Meng collaborates with scholars based in China, South Korea and Singapore. Xiaona Meng's co-authors include Jing Yan, Zhi‐Hong Zong, Jingyi Jiang, Huaimin Liu, Xiaoli Liu, Jia Li, Jia Sun, Xuesong Li, Jiamei Wang and Hua‐Qin Wang and has published in prestigious journals such as The Journal of Cell Biology, Oncogene and Journal of Colloid and Interface Science.

In The Last Decade

Xiaona Meng

17 papers receiving 442 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

PANoptosis: Mechanisms, biology, and role in disease

2023 133 citations Xiaona Meng, Jia Li et al. Immunological Reviews profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xiaona Meng China	9	320	179	95	80	45	17	446
Yingfeng Zhu China	10	338 1.1×	200 1.1×	40 0.4×	74 0.9×	47 1.0×	17	459
Yanxin Xu China	14	364 1.1×	175 1.0×	46 0.5×	52 0.7×	48 1.1×	31	501
Akiko Kogure Japan	11	323 1.0×	236 1.3×	80 0.8×	103 1.3×	25 0.6×	17	506
Xueke Qian China	8	276 0.9×	258 1.4×	79 0.8×	132 1.6×	34 0.8×	14	502
Xiaofei Cao China	11	315 1.0×	173 1.0×	64 0.7×	60 0.8×	24 0.5×	25	411
Fang Cui China	9	304 0.9×	219 1.2×	49 0.5×	69 0.9×	61 1.4×	18	455
Qi-Tao Chen China	7	404 1.3×	226 1.3×	139 1.5×	63 0.8×	74 1.6×	9	582
George Baltatzis Greece	11	268 0.8×	134 0.7×	60 0.6×	69 0.9×	33 0.7×	23	444
Tong Huang China	12	236 0.7×	107 0.6×	88 0.9×	54 0.7×	91 2.0×	26	485

Countries citing papers authored by Xiaona Meng

Since Specialization

Citations

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

Fields of papers citing papers by Xiaona Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaona Meng

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

All Works

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17 of 17 papers shown

Ni, Jiaqi, et al.. (2025). Threshold carbonization exceptionally upgrading intrinsic activity of molybdenum carbide for alkaline hydrogen evolution. Journal of Colloid and Interface Science. 690. 137286–137286. 1 indexed citations

Liang, You, Bo Sun, Min Jae Yang, et al.. (2025). Evaluation of Luteolin Nanosuspensions on Pharmacokinetics of Atorvastatin: Drug-Drug Interactions Using Rat Models. International Journal of Nanomedicine. Volume 20. 2557–2573. 1 indexed citations

Meng, Xiaona, et al.. (2024). Effect of aberrant fructose metabolism following SARS-CoV-2 infection on colorectal cancer patients’ poor prognosis. PLoS Computational Biology. 20(9). e1012412–e1012412. 1 indexed citations

Liu, Mohan, Weina Hu, Xiaona Meng, & Biao Wang. (2023). TEAD4: A key regulator of tumor metastasis and chemoresistance - Mechanisms and therapeutic implications. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1879(1). 189050–189050. 8 indexed citations

Meng, Xiaona, et al.. (2023). PANoptosis: Mechanisms, biology, and role in disease. Immunological Reviews. 321(1). 246–262. 133 indexed citations breakdown →

Wang, Tao, Xiaohui Chang, Ao Liu, et al.. (2023). Preparation of isocyanate microcapsules by complex coacervation and its application in plywood. The Journal of Adhesion. 100(10). 890–909. 1 indexed citations

Wang, Yuzhou, et al.. (2021). Cu/Fe-mediated N(sp²)-arylation/alkenylation of pyridines with aryl-/alkenylboronic acids to yield versatile cationic materials. New Journal of Chemistry. 46(5). 2320–2325. 1 indexed citations

Li, Xinyu, Jing Yan, Jia Sun, et al.. (2019). BAG3 deletion suppresses stem cell-like features of pancreatic ductal adenocarcinoma via translational suppression of ISG15. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1866(5). 819–827. 13 indexed citations

Sun, Jia, Jing Ying Yan, Huaiyu Qiao, et al.. (2019). Loss of TRIM29 suppresses cancer stem cell-like characteristics of PDACs via accelerating ISG15 degradation. Oncogene. 39(3). 546–559. 40 indexed citations

10.

Zhao, Song, Jiamei Wang, Jing Yan, et al.. (2019). BAG3 promotes autophagy and glutaminolysis via stabilizing glutaminase. Cell Death and Disease. 10(4). 284–284. 48 indexed citations

11.

Jiang, Jingyi, Jia Sun, Chao Li, et al.. (2019). BAG3‐positive pancreatic stellate cells promote migration and invasion of pancreatic ductal adenocarcinoma. Journal of Cellular and Molecular Medicine. 23(8). 5006–5016. 15 indexed citations

12.

Wang, Ning, et al.. (2018). LPS promote Osteosarcoma invasion and migration through TLR4/HOTAIR. Gene. 680. 1–8. 14 indexed citations

13.

Li, Si, Chao Li, Jiamei Wang, et al.. (2017). BAG3 directly stabilizes Hexokinase 2 mRNA and promotes aerobic glycolysis in pancreatic cancer cells. The Journal of Cell Biology. 216(12). 4091–4105. 49 indexed citations

14.

Li, Xuesong, et al.. (2016). MicroRNA-873 mediates multidrug resistance in ovarian cancer cells by targeting ABCB1. Tumor Biology. 37(8). 10499–10506. 63 indexed citations

15.

Yan, Jing, Jingyi Jiang, Xiaona Meng, Yin‐Ling Xiu, & Zhi‐Hong Zong. (2016). MiR-23b targets cyclin G1 and suppresses ovarian cancer tumorigenesis and progression. Journal of Experimental & Clinical Cancer Research. 35(1). 31–31. 56 indexed citations

16.

Meng, Xiaona. (2014). Effects of folium artemisiae argyi burning products on monoamine neurotransmitters contents in brain of senescence-accelerated mouse P8. Zhonghua zhongyiyao zazhi. 1 indexed citations

17.

Meng, Xiaona. (2013). Effect of Moxa Combustion Products on Learning and Memory Behavior of Senescence Accelerated Mice. Xiandai shengwu yixue jinzhan. 1 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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