Xiaocong Wang

799 total citations
38 papers, 568 citations indexed

About

Xiaocong Wang is a scholar working on Molecular Biology, Cancer Research and Ophthalmology. According to data from OpenAlex, Xiaocong Wang has authored 38 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Ophthalmology. Recurrent topics in Xiaocong Wang's work include Glycosylation and Glycoproteins Research (6 papers), Cancer-related molecular mechanisms research (6 papers) and Cell Adhesion Molecules Research (4 papers). Xiaocong Wang is often cited by papers focused on Glycosylation and Glycoproteins Research (6 papers), Cancer-related molecular mechanisms research (6 papers) and Cell Adhesion Molecules Research (4 papers). Xiaocong Wang collaborates with scholars based in China, United Kingdom and United States. Xiaocong Wang's co-authors include Qingbo Xu, Eirini Karamariti, Robert J. Woods, Russell Simpson, Mei Mei Wong, Yanhua Hu, Huihua Hu, Baoqi Yu, Bernhard Winkler and James H. Prestegard and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Circulation.

In The Last Decade

Xiaocong Wang

30 papers receiving 563 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaocong Wang China 11 385 81 73 72 71 38 568
Hongyu Zhang China 15 465 1.2× 78 1.0× 34 0.5× 60 0.8× 33 0.5× 31 703
Diana H. Chai United States 9 318 0.8× 42 0.5× 65 0.9× 64 0.9× 57 0.8× 12 543
Ru‐Ting Huang United States 10 341 0.9× 123 1.5× 37 0.5× 38 0.5× 91 1.3× 16 595
Ilja Ritamo Finland 13 463 1.2× 48 0.6× 53 0.7× 75 1.0× 24 0.3× 15 613
Shardul Bhilocha United States 6 231 0.6× 71 0.9× 18 0.2× 85 1.2× 113 1.6× 8 511
Elazer R. Edelman United States 4 390 1.0× 45 0.6× 18 0.2× 172 2.4× 27 0.4× 5 671
Ju-Ock Nam South Korea 12 475 1.2× 77 1.0× 28 0.4× 29 0.4× 82 1.2× 15 810
Lauren Bazinet United States 14 236 0.6× 154 1.9× 17 0.2× 29 0.4× 59 0.8× 18 617
Stefan Rubner Germany 12 159 0.4× 82 1.0× 31 0.4× 25 0.3× 134 1.9× 16 481
Emil Tykesson Sweden 13 298 0.8× 33 0.4× 158 2.2× 52 0.7× 284 4.0× 28 519

Countries citing papers authored by Xiaocong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaocong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaocong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaocong Wang. A scholar is included among the top collaborators of Xiaocong 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 Xiaocong Wang. Xiaocong 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
1.
Wang, Xiaocong, David A. Pearce, Gareth Baynam, et al.. (2025). Digital health technology use in clinical trials of rare diseases: a systematic review. Communications Medicine. 5(1). 449–449.
2.
Lai, Kaitao, Shibing Long, Shah Faisal, et al.. (2025). Artificial Intelligence-Coupled Self-Calibrating SERS Spectroscopy for Robust Clinical Diagnosis of Diabetes and Associated Complications. Analytical Chemistry. 97(45). 25168–25180.
3.
4.
Huo, W., et al.. (2025). Development and validation of machine learning models for predicting blastocyst yield in IVF cycles. Scientific Reports. 15(1). 22631–22631.
5.
Yuan, Yuan, et al.. (2024). Preliminary research on LncRNA ATP2B2-IT2 in neovascularization of diabetic retinopathy. BMC Ophthalmology. 24(1). 267–267.
6.
Chen, Gengwen, Kaitao Lai, Shiqing Zhang, et al.. (2024). Non-specific/specific SERS spectra concatenation for precise bacteria classifications with few samples using a residual neural network. Chinese Chemical Letters. 36(1). 109884–109884. 3 indexed citations
7.
Wang, Xiaocong, Yan Liu, Gen Liu, et al.. (2023). A Novel Robotic-Vision-Based Defect Inspection System for Bracket Weldments in a Cloud–Edge Coordination Environment. Sustainability. 15(14). 10783–10783. 6 indexed citations
8.
9.
Han, Shuangze, Xinfang Yu, Ruirui Wang, et al.. (2023). Tanshinone IIA inhibits cell viability and promotes PUMA-mediated apoptosis of oral squamous cell carcinoma. Journal of Cancer. 14(13). 2481–2490. 3 indexed citations
10.
Li, Hao, Yuyan Zhang, Gen Liu, et al.. (2023). Real-time detection method for welding parts completeness based on improved YOLOX in a digital twin environment. Measurement Science and Technology. 34(5). 55004–55004. 3 indexed citations
11.
Li, Junlin, Xiaocong Wang, Cong Xie, et al.. (2021). A Novel Method for Seamless Closed-Loop Load Transfer of Low Voltage Distribution Network. 2021 IEEE 4th International Electrical and Energy Conference (CIEEC). 1–6. 2 indexed citations
12.
Hu, Huihua, et al.. (2021). Long Noncoding RNA MIAT Regulates the Process of Laryngeal Squamous Cell Carcinoma Through Regulation of miR-147a/BCOR. Archives of Medical Research. 52(4). 371–379. 4 indexed citations
13.
Wang, Xiaocong, et al.. (2021). Bridging Carotenoid-to-Bacteriochlorophyll Energy Transfer of Purple Bacteria LH2 With Temperature Variations: Insights From Conformational Changes. Frontiers in Chemistry. 9. 764107–764107. 2 indexed citations
14.
Wang, Xiaocong, et al.. (2018). RNA binding protein Lin28B confers gastric cancer cells stemness via directly binding to NRP-1. Biomedicine & Pharmacotherapy. 104. 383–389. 29 indexed citations
15.
Yang, Junyao, Jing Xu, Xiaocong Wang, et al.. (2018). The interaction between XBP1 and eNOS contributes to endothelial cell migration. Experimental Cell Research. 363(2). 262–270. 14 indexed citations
16.
Wei, Wei, Qi Liu, Zhenzhen Li, et al.. (2017). Synthesis and evaluation of adenosine containing 3-arylfuran-2(5 H )-ones as tyrosyl-tRNA synthetase inhibitors. European Journal of Medicinal Chemistry. 133. 62–68. 7 indexed citations
17.
18.
Wang, Xiaocong, Eirini Karamariti, Russell Simpson, Wen Wang, & Qingbo Xu. (2015). Dickkopf Homolog 3 Induces Stem Cell Differentiation into Smooth Muscle Lineage via ATF6 Signalling. Journal of Biological Chemistry. 290(32). 19844–19852. 32 indexed citations
19.
Karamariti, Eirini, Andriana Margariti, Bernhard Winkler, et al.. (2013). Smooth Muscle Cells Differentiated From Reprogrammed Embryonic Lung Fibroblasts Through DKK3 Signaling Are Potent for Tissue Engineering of Vascular Grafts. Circulation Research. 112(11). 1433–1443. 75 indexed citations
20.
Wong, Mei Mei, Bernhard Winkler, Eirini Karamariti, et al.. (2013). Sirolimus Stimulates Vascular Stem/Progenitor Cell Migration and Differentiation Into Smooth Muscle Cells via Epidermal Growth Factor Receptor/Extracellular Signal–Regulated Kinase/β-Catenin Signaling Pathway. Arteriosclerosis Thrombosis and Vascular Biology. 33(10). 2397–2406. 38 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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