Xuning Wang

3.4k total citations · 1 hit paper
32 papers, 2.6k citations indexed

About

Xuning Wang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Xuning Wang has authored 32 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 9 papers in Cancer Research. Recurrent topics in Xuning Wang's work include Cancer-related molecular mechanisms research (7 papers), Ferroptosis and cancer prognosis (5 papers) and RNA modifications and cancer (5 papers). Xuning Wang is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), Ferroptosis and cancer prognosis (5 papers) and RNA modifications and cancer (5 papers). Xuning Wang collaborates with scholars based in China, United States and Japan. Xuning Wang's co-authors include Robert B. Darnell, Aldo Mele, Jernej Ule, Jennifer C. Darnell, Melis Kayikci, Anthony Schweitzer, Donny D. Licatalosi, Tyson A. Clark, John J. Fak and Sung Wook and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Xuning Wang

30 papers receiving 2.6k citations

Hit Papers

HITS-CLIP yields genome-wide insights into brain alternat... 2008 2026 2014 2020 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuning Wang China 15 2.2k 647 479 200 141 32 2.6k
Yue Wan Singapore 18 4.9k 2.2× 2.9k 4.5× 182 0.4× 44 0.2× 194 1.4× 45 5.3k
Hans‐Hermann Wessels United States 17 1.2k 0.5× 244 0.4× 95 0.2× 54 0.3× 42 0.3× 21 1.6k
Matthew C. Canver United States 22 2.0k 0.9× 121 0.2× 99 0.2× 100 0.5× 157 1.1× 44 2.6k
Robinson Triboulet United States 17 3.5k 1.6× 1.8k 2.8× 182 0.4× 70 0.3× 102 0.7× 22 4.2k
Woan‐Yuh Tarn Taiwan 35 3.3k 1.5× 285 0.4× 150 0.3× 38 0.2× 105 0.7× 70 3.6k
Kefeng Lu China 22 1.3k 0.6× 205 0.3× 573 1.2× 80 0.4× 44 0.3× 55 2.0k
Wenqian Hu United States 18 1.6k 0.7× 1.0k 1.6× 156 0.3× 17 0.1× 87 0.6× 49 2.0k
Martin Schlumpberger Germany 10 1.1k 0.5× 466 0.7× 483 1.0× 40 0.2× 72 0.5× 12 1.6k
Heimo Riedel United States 22 1.2k 0.6× 97 0.1× 134 0.3× 130 0.7× 68 0.5× 55 1.8k
Sylvia Schütz United States 9 1.7k 0.8× 1.3k 2.0× 150 0.3× 19 0.1× 55 0.4× 9 2.1k

Countries citing papers authored by Xuning Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xuning Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuning Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xuning Wang. A scholar is included among the top collaborators of Xuning Wang 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 Xuning Wang. Xuning Wang 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
2.
Lu, Haoran, Qianqian Qin, Liyong Tang, et al.. (2023). MARCKS is a New Prognostic Biomarker in Hepatocellular Carcinoma. International Journal of General Medicine. Volume 16. 1603–1619. 2 indexed citations
3.
Wu, Dongdong, Jimei Chi, Lijun Cheng, et al.. (2023). Smartphone‐based rapid and visual pathological diagnosis of glioma using perovskite probes. InfoMat. 5(11). 5 indexed citations
5.
Li, Rui, Fan Li, Xuning Wang, et al.. (2023). 4-Phenylbutyric acid may prevent mouse ovarian and uterine damage due to procymidone-induced alteration of circRNA Scar and circZc3h4 levels by controlling excessive unfolded protein response. Pesticide Biochemistry and Physiology. 196. 105631–105631. 5 indexed citations
6.
Wang, Xuning, Zhipeng Teng, Rui Qin, et al.. (2023). Aspartoacylase promotes the process of tumour development and is associated with immune infiltrates in gastric cancer. BMC Cancer. 23(1). 604–604. 3 indexed citations
7.
Xin, Zhenlong, Changjian Sun, Deyang Li, et al.. (2022). Construction of a Necroptosis-Related lncRNA Signature for Predicting Prognosis and Immune Response in Kidney Renal Clear Cell Carcinoma. Cells. 12(1). 66–66. 3 indexed citations
8.
Ye, Xiongjun, Yinyin Wang, Ying Wang, et al.. (2021). CREPT/RPRD1B promotes tumorigenesis through STAT3-driven gene transcription in a p300-dependent manner. British Journal of Cancer. 124(8). 1437–1448. 14 indexed citations
9.
Liu, Yang, Haiyan Yang, Xuning Wang, et al.. (2021). CREPT is required for murine stem cell maintenance during intestinal regeneration. Nature Communications. 12(1). 270–270. 22 indexed citations
10.
Wu, Dongdong, Jimei Chi, Meng Zhang, et al.. (2021). Water‐Dispersing Perovskite Probes for the Rapid Imaging of Glioma Cells. Advanced Optical Materials. 10(4). 17 indexed citations
11.
Wang, Xuning, et al.. (2021). Effect of Temperature on Metronidazole Resistance in Helicobacter pylori. Frontiers in Microbiology. 12. 681911–681911. 9 indexed citations
12.
Liu, Meng, et al.. (2021). NDC1 is a Prognostic Biomarker and Associated with Immune Infiltrates in Colon Cancer. International Journal of General Medicine. Volume 14. 8811–8817. 5 indexed citations
13.
Wang, Ying, et al.. (2020). Genome-Wide Analysis of Methylation-Driven Genes and Identification of an Eight-Gene Panel for Prognosis Prediction in Breast Cancer. Frontiers in Genetics. 11. 301–301. 14 indexed citations
14.
Guo, Shaohua, Jiajin Zhang, Baishi Wang, et al.. (2018). A 5-serum miRNA panel for the early detection of colorectal cancer. OncoTargets and Therapy. Volume 11. 2603–2614. 35 indexed citations
15.
Liu, Yang, Ying Wang, Sihan Liu, et al.. (2018). Overexpression of CREPT confers colorectal cancer sensitivity to fluorouracil. World Journal of Gastroenterology. 24(4). 475–483. 14 indexed citations
16.
Lang, Shan, Libing Li, Xuning Wang, et al.. (2017). CXCL10/IP-10 Neutralization Can Ameliorate Lipopolysaccharide-Induced Acute Respiratory Distress Syndrome in Rats. PLoS ONE. 12(1). e0169100–e0169100. 53 indexed citations
17.
Lang, Shan, Junping Sun, Xuning Wang, et al.. (2017). Asymptomatic pulmonary tuberculosis mimicking lung cancer on imaging: A retrospective study. Experimental and Therapeutic Medicine. 14(3). 2180–2188. 22 indexed citations
18.
Siegel, T. Nicolai, Doeke R. Hekstra, Luísa M. Figueiredo, et al.. (2009). Four histone variants mark the boundaries of polycistronic transcription units in Trypanosoma brucei. Genes & Development. 23(9). 1063–1076. 273 indexed citations
19.
Licatalosi, Donny D., Aldo Mele, John J. Fak, et al.. (2008). HITS-CLIP yields genome-wide insights into brain alternative RNA processing. Nature. 456(7221). 464–469. 1060 indexed citations breakdown →
20.
Ule, Jernej, Giovanni Stefani, Aldo Mele, et al.. (2006). An RNA map predicting Nova-dependent splicing regulation. Nature. 444(7119). 580–586. 423 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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