Bin Lang

1.7k total citations
48 papers, 1.1k citations indexed

About

Bin Lang is a scholar working on Molecular Biology, Surgery and Cancer Research. According to data from OpenAlex, Bin Lang has authored 48 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 16 papers in Surgery and 14 papers in Cancer Research. Recurrent topics in Bin Lang's work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (7 papers) and Adrenal and Paraganglionic Tumors (7 papers). Bin Lang is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (7 papers) and Adrenal and Paraganglionic Tumors (7 papers). Bin Lang collaborates with scholars based in China, Macao and United States. Bin Lang's co-authors include Yu Gan, Bin Fu, Lirong Meng, Xin Ma, Weimin Yao, Hua Xu, Heng Li, Kai Xu, Hongzhao Li and Wei Xiao and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Bin Lang

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Lang China 21 577 382 381 207 125 48 1.1k
Dhruva K. Mishra United States 18 387 0.7× 145 0.4× 166 0.4× 60 0.3× 132 1.1× 33 930
Hugo Prazeres Portugal 19 343 0.6× 161 0.4× 163 0.4× 232 1.1× 111 0.9× 30 783
Sumana Chatterjee India 13 302 0.5× 68 0.2× 294 0.8× 117 0.6× 71 0.6× 27 641
Boxin Xue China 17 358 0.6× 221 0.6× 144 0.4× 44 0.2× 230 1.8× 72 793
Paula L. Hyland United States 22 450 0.8× 149 0.4× 145 0.4× 20 0.1× 156 1.2× 43 940
Jianguang Qiu China 16 246 0.4× 116 0.3× 111 0.3× 21 0.1× 228 1.8× 52 672
Tadao Uchibayashi Japan 14 236 0.4× 141 0.4× 213 0.6× 23 0.1× 180 1.4× 83 720
J Jakowicki Poland 20 302 0.5× 109 0.3× 219 0.6× 29 0.1× 49 0.4× 68 1.1k
Susumu Tominaga Japan 16 312 0.5× 108 0.3× 276 0.7× 61 0.3× 178 1.4× 40 904
Yeqing Yuan China 18 434 0.8× 146 0.4× 59 0.2× 19 0.1× 154 1.2× 38 921

Countries citing papers authored by Bin Lang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Lang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Lang. A scholar is included among the top collaborators of Bin Lang 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 Bin Lang. Bin Lang 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.
Lang, Bin, Chen Cao, Xiaoxiao Zhao, et al.. (2023). Genomic alterations related to HPV infection status in a cohort of Chinese prostate cancer patients. European journal of medical research. 28(1). 3 indexed citations
3.
Tian, Rui, Lifang Li, Jingping Yuan, et al.. (2023). HPV integration generates a cellular super-enhancer which functions as ecDNA to regulate genome-wide transcription. Nucleic Acids Research. 51(9). 4237–4251. 24 indexed citations
4.
Qiu, Yan, Sujuan Li, Yi Ning, et al.. (2023). Single-cell immune profiling reveals broad anti-inflammation response in bipolar disorder patients with quetiapine and valproate treatment. iScience. 26(7). 107057–107057. 4 indexed citations
5.
Meng, Lirong, Bin Lang, Lifang Li, et al.. (2023). A Cas12a ortholog with distinct TTNA PAM enables sensitive detection of HPV16/18. Cell Reports Methods. 3(4). 100444–100444. 10 indexed citations
6.
Cui, Zifeng, Rui Tian, Zhaoyue Huang, et al.. (2022). FrCas9 is a CRISPR/Cas9 system with high editing efficiency and fidelity. Nature Communications. 13(1). 1425–1425. 29 indexed citations
7.
Fan, Weiwen, Miao Yu, Xin Wang, et al.. (2021). Non-homologous dsODN increases the mutagenic effects of CRISPR-Cas9 to disrupt oncogene E7 in HPV positive cells. Cancer Gene Therapy. 29(6). 758–769. 2 indexed citations
8.
Zhang, Yajiao, Bin Lang, Zhihua Li, et al.. (2019). Truncation of κ‑carrageenase for higher κ‑carrageenan oligosaccharides yield with improved enzymatic characteristics. International Journal of Biological Macromolecules. 130. 958–968. 18 indexed citations
9.
10.
Fu, Bin, Yibing Wang, Xiali Zhang, et al.. (2015). miR-221-induced PUMA silencing mediates immune evasion of bladder cancer cells. International Journal of Oncology. 46(3). 1169–1180. 18 indexed citations
11.
Wang, Yibing, Gongxian Wang, Xiali Zhang, et al.. (2015). γ-secretase inhibitor inhibits bladder cancer cell drug resistance and invasion by reducing epithelial-mesenchymal transition. Molecular Medicine Reports. 12(2). 2821–2827. 7 indexed citations
12.
Gan, Yu, Weimin Yao, Wei Xiao, et al.. (2014). MicroRNA-34a functions as an anti-metastatic microRNA and suppresses angiogenesis in bladder cancer by directly targeting CD44. Journal of Experimental & Clinical Cancer Research. 33(1). 779–779. 92 indexed citations
13.
Xu, Xiaoyuan, Tao Wang, Ping Wu, et al.. (2014). GABPβ2 expression during osteogenic differentiation from human osteoblast-like Saos-2 cells. Folia Histochemica et Cytobiologica. 52(3). 225–231. 3 indexed citations
14.
Wang, Jiamei, et al.. (2014). Cloning and transcriptional activity analysis of the porcine cofilin 2 gene promoter. Gene. 547(2). 280–287. 4 indexed citations
15.
Xiao, Wei, Ji Wang, Heng Li, et al.. (2014). Fibulin-1 is epigenetically down-regulated and related with bladder cancer recurrence. BMC Cancer. 14(1). 677–677. 25 indexed citations
16.
Chang, Lei, Runlin Shi, Tao Yang, et al.. (2013). Restoration of LRIG1 suppresses bladder cancer cell growth by directly targeting EGFR activity. Journal of Experimental & Clinical Cancer Research. 32(1). 101–101. 15 indexed citations
17.
Chang, Lei, Heng Li, Yu Gan, et al.. (2013). Over-expression of LRIG3 suppresses growth and invasion of bladder cancer cells. Journal of Huazhong University of Science and Technology [Medical Sciences]. 33(1). 111–116. 3 indexed citations
18.
Wang, Baojun, Xin Ma, Hongzhao Li, et al.. (2011). Anatomic Retroperitoneoscopic Adrenalectomy for Selected Adrenal Tumors >5 cm: Our Technique and Experience. Urology. 78(2). 348–352. 18 indexed citations
19.
Zhang, Xu, Bin Lang, Jinzhi Ouyang, et al.. (2007). Retroperitoneoscopic Adrenalectomy Without Previous Control of Adrenal Vein Is Feasible and Safe for Pheochromocytoma. Urology. 69(5). 849–853. 40 indexed citations
20.
Zhang, Xu, Kai Xu, Bin Fu, et al.. (2007). The retroperitoneal laparoscopic Hellström technique for pelvi‐ureteric junction obstruction from a crossing vessel. British Journal of Urology. 100(6). 1335–1338. 16 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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