Ruirui Cheng

584 total citations
20 papers, 403 citations indexed

About

Ruirui Cheng is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ruirui Cheng has authored 20 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Ruirui Cheng's work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Ruirui Cheng is often cited by papers focused on Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Ruirui Cheng collaborates with scholars based in China and United States. Ruirui Cheng's co-authors include Guojun Zhang, Furui Zhang, Chunya Lu, Rui Yang, Heying Chu, Guoqiang Zhao, Ping Li, Yong Bai, Tao Jiang and Shengxiang Ren and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and BMC Public Health.

In The Last Decade

Ruirui Cheng

19 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruirui Cheng China 14 231 198 123 113 29 20 403
Weibo Zhong China 7 246 1.1× 157 0.8× 71 0.6× 85 0.8× 24 0.8× 12 362
Chuanfan Zhong China 8 267 1.2× 175 0.9× 69 0.6× 94 0.8× 24 0.8× 20 381
Vignesh Ramesh India 9 230 1.0× 142 0.7× 113 0.9× 73 0.6× 28 1.0× 18 400
Pailan Peng China 10 193 0.8× 147 0.7× 69 0.6× 97 0.9× 34 1.2× 17 334
Wenqing Feng China 10 204 0.9× 125 0.6× 169 1.4× 84 0.7× 66 2.3× 25 385
Yaping Guan China 11 241 1.0× 129 0.7× 156 1.3× 77 0.7× 51 1.8× 25 431
Wang Li China 11 218 0.9× 119 0.6× 50 0.4× 60 0.5× 29 1.0× 37 348
Leyang Xiang China 12 306 1.3× 219 1.1× 88 0.7× 40 0.4× 25 0.9× 22 431
Francesca Sanges Italy 10 184 0.8× 143 0.7× 111 0.9× 73 0.6× 9 0.3× 10 310
Piao Li China 10 243 1.1× 98 0.5× 124 1.0× 69 0.6× 83 2.9× 20 457

Countries citing papers authored by Ruirui Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Ruirui Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruirui Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Ruirui Cheng. A scholar is included among the top collaborators of Ruirui Cheng 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 Ruirui Cheng. Ruirui Cheng 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.
Jiang, Sheng, et al.. (2024). Kazakh adults in Xinjiang have a prevalent obesity problem but a low prevalence of diabetes. BMC Public Health. 24(1). 689–689. 2 indexed citations
3.
4.
Yang, Mo, Wenyi Dong, Ruirui Cheng, et al.. (2021). Effect of highly efficient substrate modifier, super-absorbent polymer, on the performance of the green roof. The Science of The Total Environment. 806(Pt 2). 150638–150638. 12 indexed citations
5.
Zhang, Furui, et al.. (2021). Hsa_circ_0010235 functions as an oncogenic drive in non-small cell lung cancer by modulating miR-433-3p/TIPRL axis. Cancer Cell International. 21(1). 73–73. 34 indexed citations
6.
Jiang, Tao, Zhaoyuan Fang, Shijie Tang, et al.. (2020). Mutational Landscape and Evolutionary Pattern of Liver and Brain Metastasis in Lung Adenocarcinoma. Journal of Thoracic Oncology. 16(2). 237–249. 40 indexed citations
7.
Jiang, Tao, Ruirui Cheng, Yuanwei Pan, et al.. (2020). Heterogeneity of neoantigen landscape between primary lesions and their matched metastases in lung cancer. Translational Lung Cancer Research. 9(2). 246–256. 23 indexed citations
8.
Cheng, Ruirui, Xinhua Lu, Chenyang Xu, Furui Zhang, & Guojun Zhang. (2020). SNHG11 contributes to NSCLC cell growth and migration by targeting miR-485-5p/BSG axis. Biomedicine & Pharmacotherapy. 128. 110324–110324. 16 indexed citations
9.
Zhang, Guowei, Ruirui Cheng, Huijuan Wang, et al.. (2020). Comparable outcomes of nivolumab in patients with advanced NSCLC presenting with or without brain metastases: a retrospective cohort study. Cancer Immunology Immunotherapy. 69(3). 399–405. 27 indexed citations
10.
Chu, Heying, et al.. (2019). MicroRNA-206 promotes lipopolysaccharide-induced inflammation injury via regulation of IRAK1 in MRC-5 cells. International Immunopharmacology. 73. 590–598. 15 indexed citations
11.
Jiang, Tao, Chunxia Su, Ruirui Cheng, et al.. (2019). Heterogeneity of Neoantigen Landscape Between Primary Lesions and Their Matched Metastases in Lung Cancer. SSRN Electronic Journal. 1 indexed citations
12.
Bai, Yong, Guojun Zhang, Ruirui Cheng, Rui Yang, & Heying Chu. (2019). CASC15 contributes to proliferation and invasion through regulating miR-766-5p/ KLK12 axis in lung cancer. Cell Cycle. 18(18). 2323–2331. 35 indexed citations
13.
Zhang, Guowei, Ruirui Cheng, Zengli Zhang, et al.. (2017). Bisphosphonates enhance antitumor effect of EGFR-TKIs in patients with advanced EGFR mutant NSCLC and bone metastases. Scientific Reports. 7(1). 42979–42979. 16 indexed citations
14.
Zhang, Guowei, Hao Zheng, Guojun Zhang, et al.. (2017). MicroRNA-338-3p suppresses cell proliferation and induces apoptosis of non-small-cell lung cancer by targeting sphingosine kinase 2. Cancer Cell International. 17(1). 46–46. 42 indexed citations
15.
Jiang, Tao, Ruirui Cheng, Guowei Zhang, et al.. (2017). Characterization of Liver Metastasis and Its Effect on Targeted Therapy in EGFR-mutant NSCLC: A Multicenter Study. Clinical Lung Cancer. 18(6). 631–639.e2. 38 indexed citations
16.
Zhou, Kun, et al.. (2017). WITHDRAWN: Elemene Increases Autophagic Apoptosis and Drug Sensitivity in Human Cisplatin (DDP)-Resistant Lung Cancer Cell Line SPC-A-1/DDP By Inducing Beclin-1 Expression. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 16 indexed citations
17.
Chen, Shanshan, Ping Li, Rui Yang, et al.. (2015). microRNA-30b inhibits cell invasion and migration through targeting collagen triple helix repeat containing 1 in non-small cell lung cancer. Cancer Cell International. 15(1). 85–85. 35 indexed citations
18.
Zhang, Furui, Rui Yang, Guojun Zhang, et al.. (2015). Anticancer function of α-solanine in lung adenocarcinoma cells by inducing microRNA-138 expression. Tumor Biology. 37(5). 6437–6446. 26 indexed citations
19.
Chu, Heying, Huaqi Wang, Xiaonan Chen, et al.. (2014). Silencing BMP-2 expression inhibits A549 and H460 cell proliferation and migration. Diagnostic Pathology. 9(1). 123–123. 20 indexed citations
20.
Chen, Shanshan, Ruirui Cheng, & Guojun Zhang. (2014). [Comparison of value of Qanadli versus Mastora pulmonary embolism index in evaluating straddle-type pulmonary embolism].. PubMed. 94(46). 3629–32. 3 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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