Mingxuan Xia

656 total citations
13 papers, 502 citations indexed

About

Mingxuan Xia is a scholar working on Oncology, Molecular Biology and Biotechnology. According to data from OpenAlex, Mingxuan Xia has authored 13 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Molecular Biology and 4 papers in Biotechnology. Recurrent topics in Mingxuan Xia's work include Cancer-related Molecular Pathways (6 papers), Cancer Research and Treatments (4 papers) and Ubiquitin and proteasome pathways (3 papers). Mingxuan Xia is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), Cancer Research and Treatments (4 papers) and Ubiquitin and proteasome pathways (3 papers). Mingxuan Xia collaborates with scholars based in United States, China and Switzerland. Mingxuan Xia's co-authors include Hartmut Land, Lyubomir T. Vassilev, Dejan Knezevic, Christian Tovar, Dayanand Deo, Baoying Huang, Lyubomir T. Vassilev, David Heimbrook, Paola Di Lello and Lin Gao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Oncogene and Nature Structural & Molecular Biology.

In The Last Decade

Mingxuan Xia

12 papers receiving 497 citations

Peers

Mingxuan Xia

MB

ONCOL

CR

CB

BIOTE

Thelma Thompson United States

Madhurendra Singh Sweden

Anne Y. Saiki United States

Lois Resnick‐Silverman United States

Minhong Tang Ireland

Sylvain Peuget Sweden

Carol F. Franks United States

Ori Hassin Israel

Han Koo South Korea

Tim Hammonds United Kingdom

Thelma Thompson United States

Mingxuan Xia

354 ×1.0

MB

300 ×1.0

ONCOL

49 ×0.7

CR

47 ×0.7

CB

53 ×0.9

BIOTE

Citations per year, relative to Mingxuan Xia Mingxuan Xia (= 1×) peers Thelma Thompson

Countries citing papers authored by Mingxuan Xia

Since Specialization

Citations

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

Fields of papers citing papers by Mingxuan Xia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxuan Xia

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

All Works

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13 of 13 papers shown

1.

Xia, Mingxuan, et al.. (2025). Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models. 18200–18219.

2.

Xia, Mingxuan, Junbo Zhao, Gengyu Lyu, et al.. (2024). A Separation and Alignment Framework for Black-Box Domain Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 16005–16013. 1 indexed citations

3.

Xu, Pengyu, Mingxuan Xia, Lin Xiao, et al.. (2023). Textual tag recommendation with multi-tag topical attention. Neurocomputing. 537. 73–84. 2 indexed citations

4.

Xia, Mingxuan, et al.. (2022). Nanostructure of Bimetallic Modified HMS Zeolite and Its Catalytic Effect on Phenol Degradation. Journal of Inorganic and Organometallic Polymers and Materials. 32(9). 3407–3416. 1 indexed citations

5.

Zheng, Shu, et al.. (2022). Optimization of a High-pressure Water-Powder Mixing Prototype for Offshore Platforms. Fluid dynamics & materials processing. 18(3). 537–548. 2 indexed citations

6.

Xia, Mingxuan. (2021). Traffic congestion index calculation based on BP neural network. 5(1). 23–27. 1 indexed citations

7.

Xia, Mingxuan, et al.. (2021). Vehicle recognition model based on improved CNN-SVM. 294–297. 4 indexed citations

8.

Graves, Bradford, Thelma Thompson, Mingxuan Xia, et al.. (2012). Activation of the p53 pathway by small-molecule-induced MDM2 and MDMX dimerization. Proceedings of the National Academy of Sciences. 109(29). 11788–11793. 188 indexed citations

9.

Tovar, Christian, Brian Higgins, Kenneth Kolinsky, et al.. (2011). MDM2 antagonists boost antitumor effect of androgen withdrawal: implications for therapy of prostate cancer. Molecular Cancer. 10(1). 49–49. 36 indexed citations

10.

Xia, Mingxuan, Dejan Knezevic, & Lyubomir T. Vassilev. (2010). p21 does not protect cancer cells from apoptosis induced by nongenotoxic p53 activation. Oncogene. 30(3). 346–355. 55 indexed citations

11.

Huang, Baoying, Dayanand Deo, Mingxuan Xia, & Lyubomir T. Vassilev. (2009). Pharmacologic p53 Activation Blocks Cell Cycle Progression but Fails to Induce Senescence in Epithelial Cancer Cells. Molecular Cancer Research. 7(9). 1497–1509. 56 indexed citations

12.

Xia, Mingxuan, Dejan Knezevic, Christian Tovar, et al.. (2008). Elevated MDM2 boosts the apoptotic activity of p53-MDM2 binding inhibitors by facilitating MDMX degradation. Cell Cycle. 7(11). 1604–1612. 62 indexed citations

13.

Xia, Mingxuan & Hartmut Land. (2007). Tumor suppressor p53 restricts Ras stimulation of RhoA and cancer cell motility. Nature Structural & Molecular Biology. 14(3). 215–223. 94 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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