Ling Ma

3.8k total citations · 2 hit papers
78 papers, 2.7k citations indexed

About

Ling Ma is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ling Ma has authored 78 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 32 papers in Cancer Research and 22 papers in Oncology. Recurrent topics in Ling Ma's work include Cancer-related molecular mechanisms research (21 papers), MicroRNA in disease regulation (15 papers) and Circular RNAs in diseases (14 papers). Ling Ma is often cited by papers focused on Cancer-related molecular mechanisms research (21 papers), MicroRNA in disease regulation (15 papers) and Circular RNAs in diseases (14 papers). Ling Ma collaborates with scholars based in China, United States and Germany. Ling Ma's co-authors include Fengming Yang, Yongqian Shu, Chuchu Shao, Weitao Liu, Zhengkui Zhang, Yinmo Yang, Pei Ma, Hua Shen, Zhiqiang Ning and Mengyan Xie and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and Biomaterials.

In The Last Decade

Ling Ma

75 papers receiving 2.7k citations

Hit Papers

Exosomal circSHKBP1 promotes gastric cancer progression v... 2020 2026 2022 2024 2020 2022 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ling Ma China 31 1.8k 1.4k 539 353 204 78 2.7k
Chao Chen China 29 1.4k 0.7× 996 0.7× 817 1.5× 427 1.2× 320 1.6× 130 2.7k
Lintao Jia China 34 2.3k 1.3× 1.6k 1.2× 672 1.2× 489 1.4× 224 1.1× 88 3.5k
Wenjie Zhu China 28 1.1k 0.6× 952 0.7× 625 1.2× 392 1.1× 315 1.5× 101 2.3k
Geng Zhang China 18 1.5k 0.8× 899 0.6× 764 1.4× 411 1.2× 283 1.4× 76 2.5k
Qinong Ye China 31 2.1k 1.2× 1.2k 0.9× 536 1.0× 229 0.6× 248 1.2× 117 2.9k
Liu Yang China 31 2.3k 1.3× 1.8k 1.3× 695 1.3× 340 1.0× 397 1.9× 106 3.4k
Lingjun Zhu China 28 1.7k 0.9× 1.2k 0.8× 618 1.1× 262 0.7× 284 1.4× 101 2.7k
Aija Linē Latvia 26 1.9k 1.0× 1.0k 0.7× 768 1.4× 635 1.8× 321 1.6× 63 2.9k

Countries citing papers authored by Ling Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ling Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Ma. A scholar is included among the top collaborators of Ling 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 Ling Ma. Ling 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.
Ma, Ling, et al.. (2025). Dual Biologic Therapy for Psoriasis in a Patient with Atopic Dermatitis. PubMed. Volume 15. 159–161.
2.
Liu, Qiuping, Jie Tang, Yizhang Chen, et al.. (2023). Immuno-genomic-radiomics to predict response of biliary tract cancer to camrelizumab plus GEMOX in a single-arm phase II trial. JHEP Reports. 5(7). 100763–100763. 3 indexed citations
3.
Zhou, Hanyu, et al.. (2023). New advances in cancer therapy targeting TGF-β signaling pathways. Molecular Therapy — Oncolytics. 31. 100755–100755. 16 indexed citations
4.
Wang, Chunyou, Liying Liu, Xin Li, et al.. (2023). Clinical-radiomics nomogram using contrast-enhanced CT to predict histological grade and survival in pancreatic ductal adenocarcinoma. Frontiers in Oncology. 13. 1218128–1218128. 6 indexed citations
5.
Chen, Yi, Ling Ma, Yizhang Chen, et al.. (2022). Role of exosomal non-coding RNAs from tumor cells and tumor-associated macrophages in the tumor microenvironment. Molecular Therapy. 30(10). 3133–3154. 223 indexed citations breakdown →
6.
Liu, Jinfang, Zijian Zhou, Ling Ma, et al.. (2021). Effects of RNA methylation N6-methyladenosine regulators on malignant progression and prognosis of melanoma. Cancer Cell International. 21(1). 453–453. 18 indexed citations
8.
Guo, Rui, Yongjun Wang, Mo Liu, et al.. (2019). The effect of quality of segmental bowel preparation on adenoma detection rate. BMC Gastroenterology. 19(1). 119–119. 28 indexed citations
9.
Zhao, Chenhui, Yongting Li, Wen Qiu, et al.. (2018). C5a induces A549 cell proliferation of non-small cell lung cancer via GDF15 gene activation mediated by GCN5-dependent KLF5 acetylation. Oncogene. 37(35). 4821–4837. 59 indexed citations
10.
Yang, Fengming, Zhiqiang Ning, Ling Ma, et al.. (2017). Exosomal miRNAs and miRNA dysregulation in cancer-associated fibroblasts. Molecular Cancer. 16(1). 148–148. 245 indexed citations
11.
Ma, Ling, Xianchun Sang, Ting Zhang, et al.. (2016). ABNORMAL VASCULAR BUNDLES regulates cell proliferation and procambium cell establishment during aerial organ development in rice. New Phytologist. 213(1). 275–286. 47 indexed citations
12.
Li, Shengze, et al.. (2016). Expression and mechanism of action of miR-196a in epithelial ovarian cancer. Asian Pacific Journal of Tropical Medicine. 9(11). 1105–1110. 14 indexed citations
13.
Wang, Feng, Ling Ma, Zhengkui Zhang, et al.. (2016). Hedgehog Signaling Regulates Epithelial-Mesenchymal Transition in Pancreatic Cancer Stem-Like Cells. Journal of Cancer. 7(4). 408–417. 74 indexed citations
14.
Lv, Jun, et al.. (2014). Downregulation of LncRNAH19 and MiR-675 promotes migration and invasion of human hepatocellular carcinoma cells through AKT/GSK-3β/Cdc25A signaling pathway. Journal of Huazhong University of Science and Technology [Medical Sciences]. 34(3). 363–369. 68 indexed citations
15.
Ma, Ling. (2013). Expression of survivin and CD34 in bone marrow cells of patients with acute myeloid leukemia. Laboratory Medicine.
16.
Ou, Yunwei, Ling Ma, Lijia Dong, et al.. (2012). Migfilin Protein Promotes Migration and Invasion in Human Glioma through Epidermal Growth Factor Receptor-mediated Phospholipase C-γ and STAT3 Protein Signaling Pathways. Journal of Biological Chemistry. 287(39). 32394–32405. 29 indexed citations
17.
Wang, Lin, Xiaobei Wang, Xiu Nie, & Ling Ma. (2009). Comparison of fluorescence in situ hybridization and immunohistochemistry for assessment of HER-2 status in breast cancer patients. Journal of Huazhong University of Science and Technology [Medical Sciences]. 29(3). 354–358. 6 indexed citations
18.
Guilliams, Martin, Kiavash Movahedi, Tom Bosschaerts, et al.. (2009). IL-10 Dampens TNF/Inducible Nitric Oxide Synthase-Producing Dendritic Cell-Mediated Pathogenicity during Parasitic Infection. The Journal of Immunology. 182(2). 1107–1118. 101 indexed citations
19.
Ma, Ling, Elizabeth M. Duncan, Susan Rodgers, Alison Street, & J. V. Lloyd. (2003). Low detection rate of antibodies to non-functional epitopes on factor VIII in patients with hemophilia A and negative for inhibitors by Bethesda assay. Journal of Thrombosis and Haemostasis. 1(12). 2548–2553. 31 indexed citations
20.
Ma, Ling, et al.. (1999). [Cerebral protective effects of some compounds isolated from traditional Chinese herbs].. PubMed. 24(4). 238–9, 256. 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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