X. Wilson

1.1k total citations · 1 hit paper
8 papers, 971 citations indexed

About

X. Wilson is a scholar working on Molecular Biology, Genetics and Biomaterials. According to data from OpenAlex, X. Wilson has authored 8 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Biomaterials. Recurrent topics in X. Wilson's work include Nanoparticle-Based Drug Delivery (3 papers), Glioma Diagnosis and Treatment (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). X. Wilson is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), Glioma Diagnosis and Treatment (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). X. Wilson collaborates with scholars based in United States. X. Wilson's co-authors include Huan Meng, Min Xue, Yang Zhao, André E. Nel, Zhaoxia Ji, Jeffrey I. Zink, Haiyuan Zhang, Xiang Wang, Sijie Lin and Tian Xia and has published in prestigious journals such as Journal of the American Chemical Society, Nature Medicine and Nature Communications.

In The Last Decade

X. Wilson

8 papers receiving 960 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.

Codelivery of an Optimal Drug/siRNA Combination Using Mesoporous Silica Nanoparticles To Overcome Drug Resistance in Breast Cancer in Vitro and in Vivo

2013 501 citations Huan Meng, X. Wilson et al. ACS Nano profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
X. Wilson United States	6	511	452	401	158	140	8	971
Andrew Satterlee United States	13	628 1.2×	369 0.8×	425 1.1×	200 1.3×	75 0.5×	29	1.2k
Guanlian Hu China	9	377 0.7×	623 1.4×	521 1.3×	73 0.5×	104 0.7×	12	872
Mikhail Durymanov Russia	15	436 0.9×	247 0.5×	310 0.8×	132 0.8×	87 0.6×	39	904
Kairong Shi China	20	825 1.6×	851 1.9×	657 1.6×	141 0.9×	111 0.8×	25	1.4k
Sung Duk Jo South Korea	17	418 0.8×	336 0.7×	360 0.9×	60 0.4×	124 0.9×	23	946
David A. Eavarone United States	7	470 0.9×	518 1.1×	420 1.0×	93 0.6×	149 1.1×	10	988
Huaiwen Chen China	20	657 1.3×	564 1.2×	437 1.1×	222 1.4×	81 0.6×	31	1.2k
Paula Ofek Israel	18	661 1.3×	400 0.9×	319 0.8×	224 1.4×	65 0.5×	27	1.2k
Yaohua Wei China	18	326 0.6×	405 0.9×	351 0.9×	76 0.5×	100 0.7×	32	851

Countries citing papers authored by X. Wilson

Since Specialization

Citations

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

Fields of papers citing papers by X. Wilson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of X. Wilson

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

All Works

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8 of 8 papers shown

1.

Fernández, Elízabeth, X. Wilson, Nicholas Bayley, et al.. (2024). Integrated molecular and functional characterization of the intrinsic apoptotic machinery identifies therapeutic vulnerabilities in glioma. Nature Communications. 15(1). 10089–10089. 4 indexed citations

2.

Wilson, X., Veerle W. Daniëls, Lisa Ta, et al.. (2017). Cytoplasmic p53 couples oncogene-driven glucose metabolism to apoptosis and is a therapeutic target in glioblastoma. Nature Medicine. 23(11). 1342–1351. 84 indexed citations

3.

Clark, Peter M., X. Wilson, Timothy F. Cloughesy, & David A. Nathanson. (2016). Emerging Approaches for Targeting Metabolic Vulnerabilities in Malignant Glioma. Current Neurology and Neuroscience Reports. 16(2). 17–17. 16 indexed citations

4.

Xue, Min, Wei Wei, Yapeng Su, et al.. (2015). Chemical Methods for the Simultaneous Quantitation of Metabolites and Proteins from Single Cells. Journal of the American Chemical Society. 137(12). 4066–4069. 79 indexed citations

5.

Shin, Young Shik, Jung-Woo Kim, Alex A. Dooraghi, et al.. (2015). Quantitative assessments of glycolysis from single cells. PubMed. 3(4). 172–178. 3 indexed citations

6.

Meng, Huan, Yang Zhao, Juyao Dong, et al.. (2013). Two-Wave Nanotherapy To Target the Stroma and Optimize Gemcitabine Delivery To a Human Pancreatic Cancer Model in Mice. ACS Nano. 7(11). 10048–10065. 160 indexed citations

7.

Meng, Huan, X. Wilson, Haiyuan Zhang, et al.. (2013). Codelivery of an Optimal Drug/siRNA Combination Using Mesoporous Silica Nanoparticles To Overcome Drug Resistance in Breast Cancer in Vitro and in Vivo. ACS Nano. 7(2). 994–1005. 501 indexed citations breakdown →

8.

Wilson, X. & Huan Meng. (2012). Mesoporous silica nanoparticles: A multifunctional nano therapeutic system. Integrative Biology. 5(1). 19–28. 124 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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