Beili Wang

2.6k total citations
117 papers, 1.8k citations indexed

About

Beili Wang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Beili Wang has authored 117 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 32 papers in Oncology and 31 papers in Cancer Research. Recurrent topics in Beili Wang's work include Cancer Genomics and Diagnostics (12 papers), Cancer, Lipids, and Metabolism (10 papers) and Immune Cell Function and Interaction (8 papers). Beili Wang is often cited by papers focused on Cancer Genomics and Diagnostics (12 papers), Cancer, Lipids, and Metabolism (10 papers) and Immune Cell Function and Interaction (8 papers). Beili Wang collaborates with scholars based in China, Ethiopia and India. Beili Wang's co-authors include Baishen Pan, Wei Guo, Yi Wan, Jianying Hu, Xin‐Rong Yang, Yan Zhou, Jia Fan, Jian Zhou, Xiaolu Ma and Wei Guo and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Beili Wang

109 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
Beili Wang China 24 551 448 430 212 204 117 1.8k
Wei‐Ting Liao Taiwan 25 790 1.4× 252 0.6× 444 1.0× 296 1.4× 249 1.2× 127 2.3k
Pan Chen China 27 814 1.5× 270 0.6× 417 1.0× 363 1.7× 188 0.9× 76 2.4k
Li Zhong China 21 789 1.4× 241 0.5× 316 0.7× 263 1.2× 73 0.4× 64 1.6k
Yu Sasaki Japan 19 409 0.7× 317 0.7× 245 0.6× 172 0.8× 117 0.6× 128 1.7k
Chan Li China 25 737 1.3× 251 0.6× 380 0.9× 322 1.5× 163 0.8× 95 2.0k
Peng Xu China 24 709 1.3× 429 1.0× 489 1.1× 168 0.8× 185 0.9× 108 2.3k
Shuai Lin China 29 1.2k 2.1× 582 1.3× 500 1.2× 294 1.4× 177 0.9× 143 2.6k
Qihong Zhao China 21 458 0.8× 217 0.5× 145 0.3× 207 1.0× 277 1.4× 62 1.4k
Antonio Rodríguez‐Ariza Spain 33 1.2k 2.2× 551 1.2× 344 0.8× 495 2.3× 599 2.9× 86 3.1k
Jiaqi Yang China 25 373 0.7× 232 0.5× 350 0.8× 154 0.7× 229 1.1× 89 1.7k

Countries citing papers authored by Beili Wang

Since Specialization
Citations

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

Fields of papers citing papers by Beili Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beili Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Beili Wang. A scholar is included among the top collaborators of Beili 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 Beili Wang. Beili 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.
2.
Yang, Yang, Hanqing Wang, Beili Wang, et al.. (2025). Expression and application of a novel Holin Hol6A3 in phage PD6A3 of Acinetobacter baumannii. BMC Microbiology. 25(1). 459–459.
3.
Li, Yu, Wei Cai, Chen Wang, et al.. (2025). Alteration of the follicular fluid amino acid profile reveals the important roles of several amino acids in embryo quality in patients with polycystic ovary syndrome. Reproductive Biology and Endocrinology. 23(1). 123–123. 1 indexed citations
4.
5.
Pan, Baishen, et al.. (2024). IgE-kappa multiple myeloma with kappa free light chain: a case report. Scandinavian Journal of Clinical and Laboratory Investigation. 84(1). 71–75.
6.
Wang, Chong, et al.. (2024). STRN3 promotes tumour growth in hepatocellular carcinoma by inhibiting the hippo pathway. Journal of Cellular and Molecular Medicine. 28(6). e18147–e18147. 3 indexed citations
7.
Yang, Wenjing, Jiyan Wang, Tongtong Tian, et al.. (2024). Optimizing of a suitable protocol for isolating tissue‐derived extracellular vesicles and profiling small RNA patterns in hepatocellular carcinoma. Liver International. 44(10). 2672–2686. 2 indexed citations
8.
Yu, Li, Doudou Zhang, Miao Liu, et al.. (2023). Exosomal circ_0008285 in follicle fluid regulates the lipid metabolism through the miR-4644/ LDLR axis in polycystic ovary syndrome. Journal of Ovarian Research. 16(1). 113–113. 13 indexed citations
9.
Zhou, Yan, Lei Cao, Yihui Yang, et al.. (2023). Is OPRM1 genotype a valuable predictor of VAS in patients undergoing laparoscopic radical resection of colorectal cancer with fentanyl?. BMC Anesthesiology. 23(1). 173–173. 3 indexed citations
10.
Wang, Hao, Yi‐Shi Liu, Wei Chen, et al.. (2023). Golgi α-mannosidases regulate cell surface N-glycan type and ectodomain shedding of the transmembrane protease corin. Journal of Biological Chemistry. 299(10). 105211–105211. 1 indexed citations
11.
Tian, Tongtong, et al.. (2023). A ratiometric SERS aptasensor array for human DNA glycosylaseat single-cell sensitivity/resolution. Talanta. 259. 124544–124544. 2 indexed citations
12.
Tan, Xiao, Jing Zhu, Jing Yang, et al.. (2023). Status of phlebotomy tube utilization at a major medical center. Are we using too many phlebotomy tubes?. Heliyon. 9(5). e15334–e15334. 3 indexed citations
13.
Cai, Jiabin, Wenjing Yang, Baishen Pan, et al.. (2022). Combining γ‐GT, PIVKA‐II, and AFP to predict long‐term prognosis in patients with hepatocellular carcinoma after hepatectomy. Clinical and Experimental Pharmacology and Physiology. 50(4). 287–297. 3 indexed citations
14.
Jin, Anli, Yihui Yang, Xi Su, et al.. (2022). High serum soluble CD155 level predicts poor prognosis and correlates with an immunosuppressive tumor microenvironment in hepatocellular carcinoma. Journal of Clinical Laboratory Analysis. 36(3). e24259–e24259. 13 indexed citations
15.
Jin, Anli, Chunyan Zhang, Wenjing Zheng, et al.. (2022). CD155/SRC complex promotes hepatocellular carcinoma progression via inhibiting the p38 MAPK signalling pathway and correlates with poor prognosis. Clinical and Translational Medicine. 12(4). e794–e794. 26 indexed citations
16.
17.
Wu, Hui, et al.. (2021). Evaluation and validation of a novel 10‐color flow cytometer. Journal of Clinical Laboratory Analysis. 35(11). e23834–e23834. 2 indexed citations
18.
Zhu, Jie, et al.. (2021). The immunomodulatory activity of lenvatinib prompts the survival of patients with advanced hepatocellular carcinoma. Cancer Medicine. 10(22). 7977–7987. 23 indexed citations
19.
Jiang, Huiqin, Chunyan Zhang, Minna Shen, et al.. (2021). Role of blood mSEPT9 in evaluating tumor burden and disease monitoring in colorectal cancer patients. Journal of Clinical Laboratory Analysis. 35(11). e24030–e24030. 6 indexed citations
20.
Yang, Wenjing, Yun‐Fan Sun, Anli Jin, et al.. (2020). BCL11B suppresses tumor progression and stem cell traits in hepatocellular carcinoma by restoring p53 signaling activity. Cell Death and Disease. 11(10). 895–895. 15 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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