Xiaoming Sun

2.3k total citations
56 papers, 1.8k citations indexed

About

Xiaoming Sun is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Xiaoming Sun has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 16 papers in Immunology and 8 papers in Epidemiology. Recurrent topics in Xiaoming Sun's work include Advanced biosensing and bioanalysis techniques (14 papers), RNA Interference and Gene Delivery (9 papers) and Immune Response and Inflammation (6 papers). Xiaoming Sun is often cited by papers focused on Advanced biosensing and bioanalysis techniques (14 papers), RNA Interference and Gene Delivery (9 papers) and Immune Response and Inflammation (6 papers). Xiaoming Sun collaborates with scholars based in China, United States and Hong Kong. Xiaoming Sun's co-authors include Wei Hsueh, Michael S. Caplan, Joseph R. Hageman, Xiao‐Lian Zhang, Fengling Luo, Chengyu Li, Reginald Liew, Dongrui Ma, Qin Pan and Heming Wei and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Xiaoming Sun

54 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoming Sun China 21 596 408 406 326 322 56 1.8k
Donna Beer–Stolz United States 21 869 1.5× 540 1.3× 356 0.9× 562 1.7× 287 0.9× 28 2.2k
Hasan Kulaksiz Germany 31 589 1.0× 672 1.6× 931 2.3× 157 0.5× 523 1.6× 67 3.4k
Kimie Tanaka Japan 30 1.1k 1.8× 545 1.3× 152 0.4× 405 1.2× 245 0.8× 50 2.6k
Maria C. Basil United States 15 474 0.8× 278 0.7× 199 0.5× 375 1.2× 594 1.8× 29 1.6k
Maria D’Apolito Italy 24 718 1.2× 172 0.4× 271 0.7× 200 0.6× 393 1.2× 53 2.1k
Nancy A. Louis United States 18 1.0k 1.7× 257 0.6× 211 0.5× 853 2.6× 224 0.7× 27 2.9k
Giovanna Leoni United States 22 1.1k 1.8× 276 0.7× 186 0.5× 804 2.5× 142 0.4× 36 2.1k
Hajime Isomoto Japan 26 601 1.0× 592 1.5× 197 0.5× 342 1.0× 148 0.5× 110 2.3k
J Schölmerich Germany 20 259 0.4× 410 1.0× 136 0.3× 277 0.8× 160 0.5× 65 1.4k
Ninghan Feng China 27 1.4k 2.3× 161 0.4× 95 0.2× 248 0.8× 271 0.8× 126 2.2k

Countries citing papers authored by Xiaoming Sun

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Sun. A scholar is included among the top collaborators of Xiaoming Sun 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 Xiaoming Sun. Xiaoming Sun 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
1.
Yang, Yu, et al.. (2025). Exact counting of subtrees with diameter no more than d in trees: A generating function approach. Information and Computation. 307. 105353–105353.
2.
Chen, Zhuo, Danni Wang, Yongtao Yao, et al.. (2025). CD44 is a macrophage receptor for TcdB from Clostridioides difficile that via its lysine-158 succinylation contributes to inflammation. Gut Microbes. 17(1). 2506192–2506192. 2 indexed citations
3.
4.
5.
Liu, Junxian, et al.. (2023). NIR Photocontrolled Fluorescent Nanosensor under a Six-Branched DNA Nanowheel-Induced Nucleic Acid Confinement Effect for High-Performance Bioimaging. ACS Applied Materials & Interfaces. 15(8). 10529–10540. 11 indexed citations
6.
7.
Liu, Da, Xiaoming Sun, Lian Zhu, & Chengyu Li. (2023). Using time-shared scanning optical tweezers assisted two-photon fluorescence imaging to establish a versatile CRISPR/Cas12a-mediated biosensor. Biosensors and Bioelectronics. 227. 115158–115158. 11 indexed citations
8.
Sun, Xiaoming, et al.. (2023). Near-infrared light activated and hybridization chain reaction cascaded CRISPR/Cas12a system under the enhancement of Mn2+ for intracellular biosensing. Sensors and Actuators B Chemical. 398. 134777–134777. 6 indexed citations
9.
Liu, Xingyu, Wei Xiong, Qianqian Qi, et al.. (2022). Rational guide RNA engineering for small-molecule control of CRISPR/Cas9 and gene editing. Nucleic Acids Research. 50(8). 4769–4783. 12 indexed citations
10.
Li, Chengyu, Junxian Liu, Yuheng Liu, et al.. (2022). Upconversion Luminescence-Initiated and GSH-Responsive Self-Driven DNA Motor for Automatic Operation in Living Cells and In Vivo. Analytical Chemistry. 94(13). 5450–5459. 18 indexed citations
11.
Sun, Xiaoming, et al.. (2022). Smart NIR light-gated CRISPR/Cas12a fluorescent biosensor with boosted biological delivery and trans-cleavage activity for high-performance in vivo operation. Biosensors and Bioelectronics. 216. 114646–114646. 16 indexed citations
12.
Sun, Xiaoming, et al.. (2022). LINC00943 acts as miR-338-3p sponge to promote MPP+-induced SK-N-SH cell injury by directly targeting SP1 in Parkinson’s disease. Brain Research. 1782. 147814–147814. 12 indexed citations
13.
Gao, Jia-Ling, Yuheng Liu, Bei Zheng, et al.. (2021). Light-Activated and Self-Driven Autonomous DNA Nanomachine Enabling Fluorescence Imaging of MicroRNA in Living Cells with Exceptional Precision and Efficiency. ACS Applied Materials & Interfaces. 13(27). 31485–31494. 33 indexed citations
14.
Lu, Lu, Xiaoming Sun, Yi Yin, et al.. (2015). The amino acid mutations of the podocin in proteinuria: a meta-analysis. Renal Failure. 37(8). 1329–1337. 3 indexed citations
15.
Pan, Qin, Qilong Wang, Xiaoming Sun, et al.. (2014). Aptamer Against Mannose-capped Lipoarabinomannan Inhibits Virulent Mycobacterium tuberculosis Infection in Mice and Rhesus Monkeys. Molecular Therapy. 22(5). 940–951. 56 indexed citations
16.
Xiao, Ning, Miao Yin, Liang Zhang, et al.. (2009). Tumor necrosis factor-alpha deficiency retards early fatty-streak lesion by influencing the expression of inflammatory factors in apoE-null mice. Molecular Genetics and Metabolism. 96(4). 239–244. 48 indexed citations
17.
Yin, Miao, Liang Zhang, Xiaoming Sun, Liufeng Mao, & Jie Pan. (2009). Lack of apoE causes alteration of cytokines expression in young mice liver. Molecular Biology Reports. 37(4). 2049–2054. 18 indexed citations
18.
Sun, Xiaoming, et al.. (1995). Endogenous bacterial toxins are required for the injurious action of platelet-activating factor in rats. Gastroenterology. 109(1). 83–88. 19 indexed citations
19.
Sun, Xiaoming, Michael S. Caplan, Yueying Liu, & Wei Hsueh. (1995). Endotoxin-resistant mice are protected from PAF-induced bowel injury and death role of TNF, complement activation, and endogenous PAF production. Digestive Diseases and Sciences. 40(3). 495–502. 21 indexed citations
20.
Sun, Xiaoming & Wei Hsueh. (1988). Bowel necrosis induced by tumor necrosis factor in rats is mediated by platelet-activating factor.. Journal of Clinical Investigation. 81(5). 1328–1331. 232 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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