Wang‐Kai Fang

812 total citations
29 papers, 393 citations indexed

About

Wang‐Kai Fang is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Wang‐Kai Fang has authored 29 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Surgery. Recurrent topics in Wang‐Kai Fang's work include Cancer-related gene regulation (10 papers), Wnt/β-catenin signaling in development and cancer (9 papers) and Esophageal Cancer Research and Treatment (5 papers). Wang‐Kai Fang is often cited by papers focused on Cancer-related gene regulation (10 papers), Wnt/β-catenin signaling in development and cancer (9 papers) and Esophageal Cancer Research and Treatment (5 papers). Wang‐Kai Fang collaborates with scholars based in China, Canada and United Kingdom. Wang‐Kai Fang's co-authors include En‐Min Li, Li‐Yan Xu, Lian‐Di Liao, Jian‐Jun Xie, Jian‐Yi Wu, Xiu‐E Xu, Haiying Zou, Zhi‐Yong Wu, Bingli Wu and Yang‐Min Xie and has published in prestigious journals such as Biochemical Journal, Clinical Cancer Research and The American Journal of Human Genetics.

In The Last Decade

Wang‐Kai Fang

28 papers receiving 392 citations

Peers

Wang‐Kai Fang
Patricia Q. Rodriguez Sweden
Melania E. Mercado-Pimentel United States
Diping Wang United States
Qiannan Yang China
Guipeng Ding China
Tania Tsatralis Australia
Leilani E. Beltran United Kingdom
Marlena Brzozowa-Zasada Poland
Eliot Fletcher-Sananikone United States
Marta Fierro‐Fernández Spain
Patricia Q. Rodriguez Sweden
Wang‐Kai Fang
Citations per year, relative to Wang‐Kai Fang Wang‐Kai Fang (= 1×) peers Patricia Q. Rodriguez

Countries citing papers authored by Wang‐Kai Fang

Since Specialization
Citations

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

Fields of papers citing papers by Wang‐Kai Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wang‐Kai Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Wang‐Kai Fang. A scholar is included among the top collaborators of Wang‐Kai Fang 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 Wang‐Kai Fang. Wang‐Kai Fang 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.
Fang, Wang‐Kai, Qing Li, Min Yang, et al.. (2025). Interplay and cooperation between GLI2 and master transcription factors promote progression of esophageal squamous cell carcinoma. The American Journal of Human Genetics. 112(5). 1039–1061.
2.
Chu, Ling‐Yu, Wang‐Kai Fang, Chao‐Qun Hong, et al.. (2023). Secreted proteins encoded by super enhancer-driven genes could be promising biomarkers for early detection of esophageal squamous cell carcinoma. Biomedical Journal. 47(4). 100662–100662. 2 indexed citations
3.
Fan, Tingyu, et al.. (2023). Soil Microbe and Physicochemical Characteristicsin Tensile Fracture Zone Causedby Mining Subsidence. Polish Journal of Environmental Studies. 32(3). 2361–2372. 3 indexed citations
4.
Sun, Hong, Xiaoman Wu, Zibo Li, et al.. (2023). Construction and analysis of evaluation model for medical students' innovation competency based on research‐oriented biochemistry and molecular biology course in China. Biochemistry and Molecular Biology Education. 51(3). 263–275. 1 indexed citations
5.
Wu, Zhi‐Yong, Chun Sun, Xiu‐E Xu, et al.. (2022). Role of Integrin β1 in the progression and chemo-resistance of esophageal squamous cell carcinoma. Journal of Cancer. 13(7). 2074–2085. 6 indexed citations
6.
Zou, Haiying, et al.. (2022). Construction of the Six-lncRNA Prognosis Signature as a Novel Biomarker in Esophageal Squamous Cell Carcinoma. Frontiers in Genetics. 13. 839589–839589. 5 indexed citations
7.
Fan, Tingyu, Yulian Wang, Wang‐Kai Fang, et al.. (2022). Aquatic Microbial Community Characteristicsand Influencing Factors in UrbanLandscape Rivers. Polish Journal of Environmental Studies. 31(6). 5661–5673. 2 indexed citations
8.
Chu, Ling‐Yu, Jianyuan Zhou, Yixuan Zhao, et al.. (2021). Serum CYR61 as a potential biomarker for the diagnosis of esophagogastric junction tumor. Bioscience Reports. 41(6). 2 indexed citations
9.
Liao, Long, Ziting Yao, Wang‐Kai Fang, et al.. (2020). Epigenetics in Esophageal Cancer: From Mechanisms to Therapeutics. Small Methods. 4(10). 5 indexed citations
10.
Chu, Ling‐Yu, Yu‐Hui Peng, Tian Yang, et al.. (2020). Circulating Levels of L1-cell Adhesion Molecule as a Serum Biomarker for Early Detection of Gastric Cancer and Esophagogastric Junction Adenocarcinoma. Journal of Cancer. 11(18). 5395–5402. 2 indexed citations
11.
Xu, Yi‐Wei, Chao‐Qun Hong, Zhi‐Yong Wu, et al.. (2018). Diagnostic and prognostic value of serum L1-cell adhesion molecule in esophageal squamous cell carcinoma. Clinics and Research in Hepatology and Gastroenterology. 42(6). 597–603. 6 indexed citations
12.
Guo, Jincheng, Yang‐Min Xie, Huihui Cao, et al.. (2017). L1CAM drives oncogenicity in esophageal squamous cell carcinoma by stimulation of ezrin transcription. Journal of Molecular Medicine. 95(12). 1355–1368. 30 indexed citations
13.
Du, Zepeng, Bingli Wu, Yang‐Min Xie, et al.. (2015). Lipocalin 2 promotes the migration and invasion of esophageal squamous cell carcinoma cells through a novel positive feedback loop. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1853(10). 2240–2250. 28 indexed citations
14.
Fang, Wang‐Kai, Bo Chen, Xiu‐E Xu, et al.. (2014). Altered expression and localization of desmoglein 3 in esophageal squamous cell carcinoma. Acta Histochemica. 116(5). 803–809. 10 indexed citations
15.
Fang, Wang‐Kai. (2014). Down-regulated γ-catenin expression is associated with tumor aggressiveness in esophageal cancer. World Journal of Gastroenterology. 20(19). 5839–5839. 12 indexed citations
16.
17.
Fang, Wang‐Kai, Fa‐Min Zeng, Jian‐Yi Wu, et al.. (2014). Desmocollin-2 affects the adhesive strength and cytoskeletal arrangement in esophageal squamous cell carcinoma cells. Molecular Medicine Reports. 10(5). 2358–2364. 12 indexed citations
18.
Fang, Wang‐Kai, Wei Gu, Lian‐Di Liao, et al.. (2014). Prognostic Significance of Desmoglein 2 and Desmoglein 3 in Esophageal Squamous Cell Carcinoma. Asian Pacific Journal of Cancer Prevention. 15(2). 871–876. 13 indexed citations
19.
Fang, Wang‐Kai, Wei Gu, En‐Min Li, et al.. (2010). Reduced membranous and ectopic cytoplasmic expression of DSC2 in esophageal squamous cell carcinoma: an independent prognostic factor. Human Pathology. 41(10). 1456–1465. 31 indexed citations
20.
Cui, Lei, Li‐Yan Xu, Qian Tao, et al.. (2008). NGALR Is Overexpressed and Regulated by Hypomethylation in Esophageal Squamous Cell Carcinoma. Clinical Cancer Research. 14(23). 7674–7681. 34 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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