Cailing Ma

798 total citations
30 papers, 597 citations indexed

About

Cailing Ma is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Cailing Ma has authored 30 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Cancer Research and 7 papers in Epidemiology. Recurrent topics in Cailing Ma's work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (7 papers) and Cervical Cancer and HPV Research (6 papers). Cailing Ma is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (7 papers) and Cervical Cancer and HPV Research (6 papers). Cailing Ma collaborates with scholars based in China. Cailing Ma's co-authors include Jing Wang, Yanxia Chen, Yan Ding, Zhifang Chen, Zhaoxia Zhang, Jialu Wang, Kai Wang, Xueliang Zhang, Dandan Tang and Yan Li and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Oncogene.

In The Last Decade

Cailing Ma

27 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cailing Ma China 12 257 211 140 72 71 30 597
Qingwen Huang China 12 246 1.0× 119 0.6× 34 0.2× 38 0.5× 49 0.7× 35 450
Bo Shao China 14 477 1.9× 329 1.6× 25 0.2× 31 0.4× 58 0.8× 19 674
Huifang Huang China 10 151 0.6× 57 0.3× 34 0.2× 23 0.3× 72 1.0× 39 362
Paulo Figueiredo Portugal 10 120 0.5× 52 0.2× 51 0.4× 110 1.5× 26 0.4× 20 381
Wenju Liu China 11 148 0.6× 64 0.3× 21 0.1× 67 0.9× 26 0.4× 37 510
Edina Gyukity-Sebestyén Hungary 10 216 0.8× 131 0.6× 18 0.1× 19 0.3× 122 1.7× 14 376
Sedigheh Sharifzadeh Iran 11 130 0.5× 34 0.2× 31 0.2× 28 0.4× 49 0.7× 49 360
Elijah J. Mun United States 5 120 0.5× 63 0.3× 184 1.3× 20 0.3× 22 0.3× 7 471
Qinglan Li China 15 442 1.7× 139 0.7× 44 0.3× 34 0.5× 59 0.8× 35 619
Xiao Hu China 13 456 1.8× 45 0.2× 34 0.2× 54 0.8× 48 0.7× 25 639

Countries citing papers authored by Cailing Ma

Since Specialization
Citations

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

Fields of papers citing papers by Cailing Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cailing Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Cailing Ma. A scholar is included among the top collaborators of Cailing Ma 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 Cailing Ma. Cailing Ma 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.
Yang, Li, et al.. (2024). Comparison of 3D and 2D laparoscopy: Initial experience of perioperative outcomes and clinical assessment. Journal of Gynecology Obstetrics and Human Reproduction. 53(4). 102754–102754.
2.
3.
Li, Fen, et al.. (2023). New insights on the interaction between m6A modification and non-coding RNA in cervical squamous cell carcinoma. World Journal of Surgical Oncology. 21(1). 25–25. 6 indexed citations
4.
5.
Ma, Cailing, et al.. (2022). Circulating tumor cells correlating with Ki-67 predicts the prognosis of bladder cancer patients. International Urology and Nephrology. 55(2). 309–318. 11 indexed citations
6.
Ma, Rong, Xiaohui Tang, Mei Wang, et al.. (2022). Clinical indocyanine green-based silk fibroin theranostic nanoprobes for in vivo NIR-I/II fluorescence imaging of cervical diseases. Nanomedicine Nanotechnology Biology and Medicine. 47. 102615–102615. 8 indexed citations
7.
Tian, Ping, Lu Ding, Cailing Ma, et al.. (2021). Expression and correlation analysis of Skp2 and CBX7 in cervical cancer. Journal of Clinical Pathology. 75(12). 851–856. 6 indexed citations
8.
Chen, Yanxia, Dong Chen, Yu Zhang, et al.. (2021). Dysregulated LncRNAs Act as Competitive Endogenous RNAs and Are Associated With Cervical Cancer Development in UYGHUR Women. Technology in Cancer Research & Treatment. 20. 1080257359–1080257359. 8 indexed citations
9.
Wang, Jing, Dandan Tang, Kai Wang, et al.. (2019). HPV genotype prevalence and distribution during 2009–2018 in Xinjiang, China: baseline surveys prior to mass HPV vaccination. BMC Women s Health. 19(1). 90–90. 72 indexed citations
10.
Li, Rong, Qi Yan, Ping Tian, et al.. (2019). CBX7 Inhibits Cell Growth and Motility and Induces Apoptosis in Cervical Cancer Cells. Molecular Therapy — Oncolytics. 15. 108–116. 26 indexed citations
11.
Wang, Jing, Guodong Lü, Hongyi Li, et al.. (2019). Diagnosis of cervical squamous cell carcinoma and cervical adenocarcinoma based on Raman spectroscopy and support vector machine. Photodiagnosis and Photodynamic Therapy. 27. 156–161. 35 indexed citations
12.
Wang, Jing, Dandan Tang, Jialu Wang, et al.. (2019). Genotype distribution and prevalence of human papillomavirus among women with cervical cytological abnormalities in Xinjiang, China. Human Vaccines & Immunotherapeutics. 15(7-8). 1889–1896. 27 indexed citations
13.
He, Yan, Fei Ji, Xiaoshan Zhou, Cailing Ma, & Yan Ding. (2017). Short-term clinical effects of 68 cases of transcervical resection of adhesions. Biomedical Research-tokyo. 28(5). 2267–2271. 1 indexed citations
14.
Li, Yan, et al.. (2015). miRNA-150 downregulation promotes pertuzumab resistance in ovarian cancer cells via AKT activation. Archives of Gynecology and Obstetrics. 292(5). 1109–1116. 42 indexed citations
15.
Ma, Li, et al.. (2015). The occurrence of cervical cancer in Uygur women in Xinjiang Uygur Autonomous Region is correlated to microRNA-146a and ethnic factor.. PubMed. 8(8). 9368–75. 16 indexed citations
16.
Chen, Yanxia, Cailing Ma, Wei Zhang, Zhifang Chen, & Li Ma. (2014). Down regulation of miR-143 is related with tumor size, lymph node metastasis and HPV16 infection in cervical squamous cancer. Diagnostic Pathology. 9(1). 88–88. 36 indexed citations
17.
Chen, Zhifang, Jianbing Ding, Nannan Pang, et al.. (2013). The Th17/Treg balance and the expression of related cytokines in Uygur cervical cancer patients. Diagnostic Pathology. 8(1). 61–61. 56 indexed citations
18.
Hu, Jun, Lirong Zhu, Liang Zhi-qing, et al.. (2011). Clinical outcomes of fertility-sparing treatments in young patients with epithelial ovarian carcinoma. Journal of Zhejiang University SCIENCE B. 12(10). 787–795. 23 indexed citations
19.
Qin, Wenyan, Ping Dong, Cailing Ma, et al.. (2011). MicroRNA-133b is a key promoter of cervical carcinoma development through the activation of the ERK and AKT1 pathways. Oncogene. 31(36). 4067–4075. 105 indexed citations
20.
Ma, Zhenghai, et al.. (2004). [Analysis of human papillomavirus 16 E6 oncogene mutation in Xinjiang Uygur women with cervical carcinoma].. PubMed. 23(9). 1016–20. 1 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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