Lanlan Gao

581 total citations
9 papers, 412 citations indexed

About

Lanlan Gao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Lanlan Gao has authored 9 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Lanlan Gao's work include Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers) and RNA Research and Splicing (3 papers). Lanlan Gao is often cited by papers focused on Cancer-related molecular mechanisms research (4 papers), MicroRNA in disease regulation (3 papers) and RNA Research and Splicing (3 papers). Lanlan Gao collaborates with scholars based in China and United States. Lanlan Gao's co-authors include Lufeng Zheng, Tao Xi, Qianqian Guo, Haiwei Ni, Xiaoman Li, Chenxi Xiang, Yingying Xing, Yufeng Xia, Qiong Zhao and Xuan Yang and has published in prestigious journals such as Journal of Hematology & Oncology, Molecular Pharmaceutics and EBioMedicine.

In The Last Decade

Lanlan Gao

8 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lanlan Gao China	8	271	199	163	95	56	9	412
Faying Xu China	4	289 1.1×	115 0.6×	105 0.6×	36 0.4×	23 0.4×	6	391
Hexiu Su China	8	281 1.0×	124 0.6×	107 0.7×	20 0.2×	64 1.1×	11	383
Alexander de Giorgio United Kingdom	8	315 1.2×	256 1.3×	116 0.7×	25 0.3×	23 0.4×	8	420
Xiu‐Ming Li China	7	252 0.9×	98 0.5×	87 0.5×	115 1.2×	34 0.6×	8	393
Zhengbiao Zhu China	3	203 0.7×	177 0.9×	109 0.7×	101 1.1×	32 0.6×	3	367
Yingqian Chen China	8	211 0.8×	74 0.4×	99 0.6×	64 0.7×	24 0.4×	10	323
Le Xuan Truong Nguyen United States	12	319 1.2×	82 0.4×	81 0.5×	39 0.4×	17 0.3×	30	416
Heinz Hammerlindl United States	9	238 0.9×	64 0.3×	80 0.5×	33 0.3×	23 0.4×	14	323
Yue Du China	10	299 1.1×	153 0.8×	59 0.4×	40 0.4×	25 0.4×	15	355

Countries citing papers authored by Lanlan Gao

Since Specialization

Citations

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

Fields of papers citing papers by Lanlan Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lanlan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Lanlan Gao. A scholar is included among the top collaborators of Lanlan Gao 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 Lanlan Gao. Lanlan Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Pan, Yanyan, Xiujuan Wu, Miao Zhu, et al.. (2023). Clinical significance and correlation of compliance to thirst in maintenance hemodialysis patients. Technology and Health Care. 32(3). 1733–1743.

Gao, Lanlan, Lili Yang, Siyu Zhang, et al.. (2021). Engineering NK-92 Cell by Upregulating CXCR2 and IL-2 Via CRISPR-Cas9 Improves Its Antitumor Effects as Cellular Immunotherapy for Human Colon Cancer. Journal of Interferon & Cytokine Research. 41(12). 450–460. 21 indexed citations

Guo, Qianqian, Ting Wang, Yue Yang, et al.. (2020). Transcriptional Factor Yin Yang 1 Promotes the Stemness of Breast Cancer Cells by Suppressing miR-873-5p Transcriptional Activity. Molecular Therapy — Nucleic Acids. 21. 527–541. 29 indexed citations

Zheng, Lufeng, Qianqian Guo, Chenxi Xiang, et al.. (2019). Transcriptional factor six2 promotes the competitive endogenous RNA network between CYP4Z1 and pseudogene CYP4Z2P responsible for maintaining the stemness of breast cancer cells. Journal of Hematology & Oncology. 12(1). 23–23. 56 indexed citations

Gao, Lanlan, Qianqian Guo, Xiaoman Li, et al.. (2019). MiR-873/PD-L1 axis regulates the stemness of breast cancer cells. EBioMedicine. 41. 395–407. 116 indexed citations

Yang, Lili, Changxin Huang, Congjie Wang, et al.. (2019). Overexpressed CXCR4 and CCR7 on the surface of NK92 cell have improved migration and anti-tumor activity in human colon tumor model. Anti-Cancer Drugs. 31(4). 333–344. 24 indexed citations

Zheng, Lufeng, Chenxi Xiang, Xiaoman Li, et al.. (2018). STARD13-correlated ceRNA network-directed inhibition on YAP/TAZ activity suppresses stemness of breast cancer via co-regulating Hippo and Rho-GTPase/F-actin signaling. Journal of Hematology & Oncology. 11(1). 72–72. 112 indexed citations

Zheng, Lufeng, Zhiting Zhang, Shufang Zhang, et al.. (2018). RNA Binding Protein RNPC1 Inhibits Breast Cancer Cell Metastasis via Activating STARD13-Correlated ceRNA Network. Molecular Pharmaceutics. 15(6). 2123–2132. 34 indexed citations

Zheng, Lufeng, Xiaoman Li, Jinjiang Chou, et al.. (2017). StarD13 3’-untranslated region functions as a ceRNA for TP53INP1 in prohibiting migration and invasion of breast cancer cells by regulating miR-125b activity. European Journal of Cell Biology. 97(1). 23–31. 20 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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