Chun‐Kui Shao

2.8k total citations
75 papers, 1.8k citations indexed

About

Chun‐Kui Shao is a scholar working on Oncology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Chun‐Kui Shao has authored 75 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Oncology, 25 papers in Molecular Biology and 17 papers in Pathology and Forensic Medicine. Recurrent topics in Chun‐Kui Shao's work include Viral-associated cancers and disorders (29 papers), Lymphoma Diagnosis and Treatment (15 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers). Chun‐Kui Shao is often cited by papers focused on Viral-associated cancers and disorders (29 papers), Lymphoma Diagnosis and Treatment (15 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers). Chun‐Kui Shao collaborates with scholars based in China, United States and Hong Kong. Chun‐Kui Shao's co-authors include Jianning Chen, Dan He, Li‐ping Gong, Min Dong, Zhiying Feng, Hong Du, Haigang Li, Ye Jiang, Fang Tang and Yuhang Pan and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Chun‐Kui Shao

70 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chun‐Kui Shao China 26 808 646 419 315 297 75 1.8k
Weixun Zhou China 20 596 0.7× 571 0.9× 337 0.8× 269 0.9× 359 1.2× 143 1.8k
Emanuela Bonoldi Italy 23 738 0.9× 801 1.2× 499 1.2× 163 0.5× 218 0.7× 80 1.9k
Kris Ylaya United States 25 816 1.0× 1.0k 1.6× 527 1.3× 444 1.4× 212 0.7× 45 2.0k
E. Lin United States 20 590 0.7× 518 0.8× 270 0.6× 116 0.4× 259 0.9× 47 1.7k
Michael Allgäuer Germany 23 790 1.0× 438 0.7× 489 1.2× 188 0.6× 295 1.0× 67 1.9k
Sherri Z. Millis United States 25 1.1k 1.4× 772 1.2× 421 1.0× 180 0.6× 435 1.5× 93 2.3k
Franco Di Filippo Italy 25 847 1.0× 477 0.7× 266 0.6× 254 0.8× 412 1.4× 80 1.9k
Ludwig Wilkens Germany 27 575 0.7× 1.2k 1.8× 495 1.2× 240 0.8× 259 0.9× 77 2.5k
Shigetsugu Takano Japan 28 1.2k 1.5× 1.0k 1.5× 466 1.1× 267 0.8× 554 1.9× 124 2.3k
In Hye Song South Korea 26 988 1.2× 347 0.5× 287 0.7× 716 2.3× 247 0.8× 82 2.0k

Countries citing papers authored by Chun‐Kui Shao

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Kui Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Kui Shao. 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 Chun‐Kui Shao. The network helps show where Chun‐Kui Shao may publish in the future.

Co-authorship network of co-authors of Chun‐Kui Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Kui Shao. A scholar is included among the top collaborators of Chun‐Kui Shao 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 Chun‐Kui Shao. Chun‐Kui Shao 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.
Li, Haifeng, Sidong Xie, Shujia Liang, et al.. (2025). Clinicopathological analysis of lymphoepithelioma-like intrahepatic cholangiocarcinoma. Pathology - Research and Practice. 268. 155848–155848.
2.
Liu, Mengmeng, et al.. (2024). Expression and clinical significance of hypoxia-induced long non-coding RNA TCONS_I2_00001955 in breast cancer. Breast Cancer. 31(2). 317–328. 1 indexed citations
3.
Wen, Jing‐Yun, Xing Li, Jianning Chen, et al.. (2023). CD45− erythroid progenitor cells promote lymph node metastasis in gastric cancer by inducing a hybrid epithelial/mesenchymal state in lymphatic endothelial cells. Gastric Cancer. 26(6). 918–933. 2 indexed citations
4.
Gong, Li‐ping, Lijie Pan, Zhiying Feng, et al.. (2022). ebv-circRPMS1 promotes the progression of EBV-associated gastric carcinoma via Sam68-dependent activation of METTL3. Cancer Letters. 535. 215646–215646. 28 indexed citations
5.
Cheng, Na, Yong Ren, Jing Zhou, et al.. (2022). Deep Learning-Based Classification of Hepatocellular Nodular Lesions on Whole-Slide Histopathologic Images. Gastroenterology. 162(7). 1948–1961.e7. 68 indexed citations
6.
Wu, Qingwu, Jianning Chen, Yong Ren, et al.. (2021). Artificial intelligence for cellular phenotyping diagnosis of nasal polyps by whole-slide imaging. EBioMedicine. 66. 103336–103336. 29 indexed citations
7.
Gong, Li‐ping, Zhiying Feng, Yuhang Pan, et al.. (2021). Hypoxia-induced ebv-circLMP2A promotes angiogenesis in EBV-associated gastric carcinoma through the KHSRP/VHL/HIF1α/VEGFA pathway. Cancer Letters. 526. 259–272. 42 indexed citations
8.
Jiang, Yiquan, Shilei Cao, Guoying Wang, et al.. (2020). Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning. Journal of Cancer Research and Clinical Oncology. 147(3). 821–833. 117 indexed citations
9.
Hui, Dayang, Jianning Chen, Ye Jiang, et al.. (2020). CD44+CD24-/low sphere-forming cells of EBV-associated gastric carcinomas show immunosuppressive effects and induce Tregs partially through production of PGE2. Experimental Cell Research. 390(2). 111968–111968. 12 indexed citations
10.
Chen, Jianning, Li‐ping Gong, Jing Liang, et al.. (2019). Identification of virus-encoded circular RNA. Virology. 529. 144–151. 72 indexed citations
11.
Wu, Chong, Mingyu Liu, Jie Lin, et al.. (2018). Spleen mediates a distinct hematopoietic progenitor response supporting tumor-promoting myelopoiesis. Journal of Clinical Investigation. 128(8). 3425–3438. 122 indexed citations
12.
13.
Zhang, Xiaofang, Min Dong, Yuhang Pan, et al.. (2017). Expression pattern of cancer-associated fibroblast and its clinical relevance in intrahepatic cholangiocarcinoma. Human Pathology. 65. 92–100. 48 indexed citations
14.
Fang, Shuhuan, Honghai Hong, Lei Li, et al.. (2017). Plasminogen kringle 5 suppresses gastric cancer via regulating HIF-1α and GRP78. Cell Death and Disease. 8(10). e3144–e3144. 15 indexed citations
15.
Qi, Cuiling, Bin Li, Yang Yang, et al.. (2016). Glipizide suppresses prostate cancer progression in the TRAMP model by inhibiting angiogenesis. Scientific Reports. 6(1). 27819–27819. 25 indexed citations
16.
Dong, Min, Haiyan Wang, Xiaoxiao Zhao, et al.. (2016). Expression and prognostic roles of PIK3CA, JAK2, PD-L1, and PD-L2 in Epstein-Barr virus–associated gastric carcinoma. Human Pathology. 53. 25–34. 66 indexed citations
17.
Luo, Bing, Jianning Chen, Chao Yan, et al.. (2015). High Prevalence of the EBER Variant EB-8m in Endemic Nasopharyngeal Carcinomas. PLoS ONE. 10(3). e0121420–e0121420. 10 indexed citations
18.
Jin, Tao, Jianzhong Li, Xiaoliang Chen, et al.. (2015). Gastric myeloid sarcoma without acute myeloblastic leukemia. World Journal of Gastroenterology. 21(7). 2242–2248. 14 indexed citations
20.
Han, Jing, Dan He, Zhiying Feng, Y. X. Ding, & Chun‐Kui Shao. (2010). [Clinicopathologic features and protein expression study of Epstein-Barr virus-associated gastric carcinoma in Guangzhou].. PubMed. 39(12). 798–803. 5 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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