Beihua Kong

2.2k total citations
86 papers, 1.5k citations indexed

About

Beihua Kong is a scholar working on Molecular Biology, Oncology and Obstetrics and Gynecology. According to data from OpenAlex, Beihua Kong has authored 86 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 26 papers in Oncology and 21 papers in Obstetrics and Gynecology. Recurrent topics in Beihua Kong's work include Ovarian cancer diagnosis and treatment (17 papers), Endometrial and Cervical Cancer Treatments (11 papers) and Cervical Cancer and HPV Research (10 papers). Beihua Kong is often cited by papers focused on Ovarian cancer diagnosis and treatment (17 papers), Endometrial and Cervical Cancer Treatments (11 papers) and Cervical Cancer and HPV Research (10 papers). Beihua Kong collaborates with scholars based in China, United States and United Kingdom. Beihua Kong's co-authors include Zhaojian Liu, Qifeng Yang, Changshun Shao, Xun Qu, Haiyang Guo, Ruifen Dong, Jian-Jun Wei, Ziyan Yang, Xia Zhang and David M. Mosser and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Beihua Kong

86 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beihua Kong China 24 711 437 322 303 291 86 1.5k
Yasushi Saga Japan 22 670 0.9× 251 0.6× 354 1.1× 168 0.6× 200 0.7× 66 1.4k
Ilary Ruscito Italy 22 435 0.6× 214 0.5× 428 1.3× 216 0.7× 212 0.7× 53 1.1k
A.G.J. van der Zee Netherlands 24 593 0.8× 251 0.6× 528 1.6× 318 1.0× 210 0.7× 53 1.6k
Yasuyuki Hirashima Japan 26 557 0.8× 406 0.9× 542 1.7× 455 1.5× 114 0.4× 81 1.8k
Hironori Tashiro Japan 21 572 0.8× 204 0.5× 355 1.1× 250 0.8× 125 0.4× 37 1.4k
Nilsa C. Ramirez United States 20 802 1.1× 615 1.4× 899 2.8× 517 1.7× 223 0.8× 45 2.4k
Graziella M. Abu‐Jawdeh United States 19 642 0.9× 235 0.5× 209 0.6× 222 0.7× 158 0.5× 23 1.2k
Masafumi Koshiyama Japan 24 699 1.0× 266 0.6× 602 1.9× 513 1.7× 400 1.4× 81 2.0k
Tomohito Tanaka Japan 18 348 0.5× 208 0.5× 291 0.9× 333 1.1× 97 0.3× 81 1.0k
Muh‐Hwa Yang Taiwan 16 465 0.7× 245 0.6× 456 1.4× 158 0.5× 186 0.6× 56 1.3k

Countries citing papers authored by Beihua Kong

Since Specialization
Citations

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

Fields of papers citing papers by Beihua Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beihua Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Beihua Kong. A scholar is included among the top collaborators of Beihua Kong 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 Beihua Kong. Beihua Kong 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.
Zhang, Jing, et al.. (2025). Human papillomavirus E2 proteins suppress innate antiviral signaling pathways. Frontiers in Immunology. 16. 1555629–1555629. 2 indexed citations
2.
Chen, Huimin, Jing Zhang, Chenghao Li, et al.. (2025). The viral early protein 4 of human papillomavirus type 16 suppresses innate antiviral immunity. International Journal of Biological Macromolecules. 315(Pt 1). 144542–144542. 1 indexed citations
3.
Wu, Huan, Chenggong Sun, Wenyu Cao, et al.. (2024). Blockade of the lncRNA-PART1-PHB2 axis confers resistance to PARP inhibitor and promotes cellular senescence in ovarian cancer. Cancer Letters. 602. 217192–217192. 8 indexed citations
4.
5.
Wang, Shourong, Yao Liu, Zhongshao Chen, et al.. (2023). Inhibition of SF3B1 improves the immune microenvironment through pyroptosis and synergizes with αPDL1 in ovarian cancer. Cell Death and Disease. 14(11). 775–775. 20 indexed citations
6.
7.
Wang, Zixiang, Shourong Wang, Gang Lü, et al.. (2022). Splicing factor BUD31 promotes ovarian cancer progression through sustaining the expression of anti-apoptotic BCL2L12. Nature Communications. 13(1). 6246–6246. 27 indexed citations
8.
Peng, Jin, Min Liu, Xi Zhang, et al.. (2021). Enhanced Recovery After Surgery Impact on the Systemic Inflammatory Response of Patients Following Gynecological Oncology Surgery: A Prospective Randomized Study. Cancer Management and Research. Volume 13. 4383–4392. 15 indexed citations
9.
Jiang, Yanyan, et al.. (2018). Antiangiogenesis therapy in ovarian cancer patients. Medicine. 97(34). e11920–e11920. 7 indexed citations
10.
Song, Kun, et al.. (2017). Distinguishing between intramural pregnancy and choriocarcinoma: A case report. Oncology Letters. 13(4). 2129–2132. 16 indexed citations
11.
Wang, Wenxia, Zhenbo Zhang, Yin Zhao, et al.. (2016). Enrichment and characterization of ovarian cancer stem cells and its potential clinical application. International Journal of Clinical and Experimental Pathology. 9(10). 10128–10138. 1 indexed citations
12.
Xu, Xiaofei, Bushra Ayub, Zhaojian Liu, et al.. (2014). Anti- miR182 Reduces Ovarian Cancer Burden, Invasion, and Metastasis: An In Vivo Study in Orthotopic Xenografts of Nude Mice. Molecular Cancer Therapeutics. 13(7). 1729–1739. 52 indexed citations
13.
Liu, Zhaojian, Xiyu Zhang, Xiaofei Xu, et al.. (2013). miR-106a Represses the Rb Tumor Suppressor p130 to Regulate Cellular Proliferation and Differentiation in High-Grade Serous Ovarian Carcinoma. Molecular Cancer Research. 11(11). 1314–1325. 41 indexed citations
14.
Yang, Qifeng, et al.. (2013). Vascular endothelial growth factor +936C/T polymorphism and cancer risk in Asians: a meta-analysis. Genetics and Molecular Research. 12(2). 1924–1933. 4 indexed citations
15.
Liu, Qian, Xilai Ding, Jiaxin Yang, et al.. (2013). [Multicenter randomized controlled clinical study for the operative treatment of malignant ovarian germ cell tumors].. PubMed. 48(3). 188–92. 2 indexed citations
16.
Shi, Yan, Yu Wang, Qifeng Yang, et al.. (2013). Low-dose radiation-induced epithelial-mesenchymal transition through NF-κB in cervical cancer cells. International Journal of Oncology. 42(5). 1801–1806. 43 indexed citations
17.
Hou, Fei, Zhen Li, Daoxin Ma, et al.. (2012). Distribution of Th17 cells and Foxp3-expressing T cells in tumor-infiltrating lymphocytes in patients with uterine cervical cancer. Clinica Chimica Acta. 413(23-24). 1848–1854. 40 indexed citations
18.
Li, Peng, Li Li, Meixiang Yang, et al.. (2011). Reduced CMTM5 Expression Correlates With Carcinogenesis in Human Epithelial Ovarian Cancer. International Journal of Gynecological Cancer. 21(7). 1248–1255. 21 indexed citations
19.
Song, Kun, Jie Li, Li Li, et al.. (2011). Intracellular metabolism, subcellular localization and phototoxicity of HMME/HB in ovarian cancer cells.. PubMed. 31(10). 3229–35. 7 indexed citations
20.
Li, Hao, Yutao Diao, Juan Dong, et al.. (2010). Polymorphisms in the MTHRF, VDR, MMP-9 and IL-β Genes and the Risk of Premature Rupture of Membranes. Gynecologic and Obstetric Investigation. 70(3). 206–214. 13 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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