Xingcong Ma

1.7k total citations
24 papers, 919 citations indexed

About

Xingcong Ma is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Xingcong Ma has authored 24 papers receiving a total of 919 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 7 papers in Cancer Research. Recurrent topics in Xingcong Ma's work include BRCA gene mutations in cancer (4 papers), CAR-T cell therapy research (4 papers) and MicroRNA in disease regulation (3 papers). Xingcong Ma is often cited by papers focused on BRCA gene mutations in cancer (4 papers), CAR-T cell therapy research (4 papers) and MicroRNA in disease regulation (3 papers). Xingcong Ma collaborates with scholars based in China and United States. Xingcong Ma's co-authors include Wanjun Yan, Shuqun Zhang, Xiaoyao Zhao, Shuqun Zhang, Xiaoyan Gao, Xixi Zhao, Jingkun Qu, Jizhao Wang, Feidi Wang and Xu Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and Nature Immunology.

In The Last Decade

Xingcong Ma

19 papers receiving 907 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingcong Ma China 10 435 400 293 146 140 24 919
Xiaodong Xu China 18 645 1.5× 273 0.7× 214 0.7× 260 1.8× 70 0.5× 59 1.2k
Shengnan Sun China 17 643 1.5× 267 0.7× 262 0.9× 192 1.3× 43 0.3× 38 1.2k
Qipan Deng China 17 471 1.1× 213 0.5× 184 0.6× 227 1.6× 61 0.4× 19 827
Sühendan Ekmekçioğlu United States 15 403 0.9× 278 0.7× 221 0.8× 139 1.0× 53 0.4× 22 839
Xu Zheng China 19 516 1.2× 166 0.4× 97 0.3× 99 0.7× 156 1.1× 50 924
Roopesh Krishnankutty Qatar 15 445 1.0× 239 0.6× 125 0.4× 174 1.2× 53 0.4× 33 820
Shixiu Wu China 14 399 0.9× 282 0.7× 115 0.4× 105 0.7× 33 0.2× 36 830
Jingrong Lin China 16 401 0.9× 327 0.8× 78 0.3× 126 0.9× 58 0.4× 31 715
Yongqian Shu China 18 470 1.1× 403 1.0× 175 0.6× 210 1.4× 29 0.2× 42 1.1k

Countries citing papers authored by Xingcong Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xingcong Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingcong Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Xingcong Ma. A scholar is included among the top collaborators of Xingcong 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 Xingcong Ma. Xingcong 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.
Song, Feifei, Thomas S.K. Gilbert, Lee M. Graves, et al.. (2025). A multi-kinase inhibitor screen identifies inhibitors preserving stem-cell-like chimeric antigen receptor T cells. Nature Immunology. 26(2). 279–293. 5 indexed citations
2.
Liu, Tingting, Huan Shen, Bo-Heng Liu, et al.. (2025). Advanced strategies based on nanomedicine for Liver fibrosis treatment. International Journal of Pharmaceutics. 688. 126437–126437.
3.
Yang, Chaofei, Ying Huai, Xingcong Ma, et al.. (2025). Bio-engineered microRNA-7 effectively interferes with the Akt3/p53 axis to suppress human non-small cell lung cancer. Cancer Cell International. 25(1). 250–250.
4.
Sun, Shiyu, Y. Chen, Ziwei Liang, et al.. (2025). Preclinical evaluation of antitumor activity and toxicity of TROP2-specific CAR-T cells for treatment of triple-negative breast cancer. Journal for ImmunoTherapy of Cancer. 13(9). e012442–e012442.
5.
Li, Chaofan, Chen Feng, Shiyu Sun, et al.. (2024). Prognostic prediction for inflammatory breast cancer patients using random survival forest modeling. Translational Oncology. 52. 102246–102246. 3 indexed citations
6.
Zhang, Wansong, Ziwei Liang, Tianhu Sun, et al.. (2024). Identification of genetic modifiers enhancing B7-H3-targeting CAR T cell therapy against glioblastoma through large-scale CRISPRi screening. Journal of Experimental & Clinical Cancer Research. 43(1). 95–95. 10 indexed citations
7.
Feng, Cong, Shiyu Sun, Chaofan Li, et al.. (2024). Cheese intake, probiotics and breast cancer: A Mendelian randomization analysis. Journal of Functional Foods. 119. 106352–106352. 1 indexed citations
8.
Li, Jia, Xinyu Wei, Xuanyu Liu, et al.. (2023). Causal associations of Sjögren’s syndrome with cancers: a two-sample Mendelian randomization study. Arthritis Research & Therapy. 25(1). 171–171. 6 indexed citations
9.
Feng, Cong, Yinbin Zhang, Fei Wu, et al.. (2023). Relationship between homologous recombination deficiency and clinical features of breast cancer based on genomic scar score. The Breast. 69. 392–400. 8 indexed citations
10.
Jia, Lijun, et al.. (2023). The Causal Effect of Reproductive Factors on Breast Cancer: A Two-Sample Mendelian Randomization Study. Journal of Clinical Medicine. 12(1). 347–347. 8 indexed citations
11.
Lv, Wei, Chong Du, Yinbing Zhang, et al.. (2022). Clinicopathological characteristics and prognostic analysis of PIK3CA mutation in breast cancer patients in Northwest China. Pathology - Research and Practice. 238. 154063–154063.
12.
Li, Yue, Wei Dong, Ting Zhang, et al.. (2021). Comprehensive Analysis of Regulatory Factors and Immune-Associated Patterns to Decipher Common and BRCA1/2 Mutation-Type-Specific Critical Regulation in Breast Cancer. Frontiers in Cell and Developmental Biology. 9. 750897–750897. 9 indexed citations
13.
Ma, Xingcong, Peishun Shou, Christof C. Smith, et al.. (2020). Interleukin-23 engineering improves CAR T cell function in solid tumors. Nature Biotechnology. 38(4). 448–459. 197 indexed citations
14.
Yan, Wanjun, Xingcong Ma, Xiaoyao Zhao, & Shuqun Zhang. (2018). Baicalein induces apoptosis and autophagy of breast cancer cells via inhibiting PI3K/AKT pathway in vivo and vitro. Drug Design Development and Therapy. Volume 12. 3961–3972. 185 indexed citations
15.
Zhang, Hong, Yafei Zhang, Xixi Zhao, et al.. (2017). Association of two microRNA polymorphisms miR-27 rs895819 and miR-423 rs6505162 with the risk of cancer. Oncotarget. 8(29). 46969–46980. 13 indexed citations
16.
Ma, Xingcong, Xiaoyao Zhao, Wanjun Yan, et al.. (2017). Tumor-infiltrating lymphocytes are associated with β-catenin overexpression in breast cancer. Cancer Biomarkers. 21(3). 639–650. 10 indexed citations
17.
Zhao, Xixi, Jingkun Qu, Yuchen Sun, et al.. (2017). Prognostic significance of tumor-associated macrophages in breast cancer: a meta-analysis of the literature. Oncotarget. 8(18). 30576–30586. 252 indexed citations
18.
Ma, Xingcong, Wanjun Yan, Zhijun Dai, et al.. (2016). Baicalein suppresses metastasis of breast cancer cells by inhibiting EMT via downregulation of SATB1 and Wnt/β-catenin pathway. Drug Design Development and Therapy. 10. 1419–1419. 104 indexed citations
19.
Yan, Wanjun, Xingcong Ma, Xiaoyan Gao, & Shuqun Zhang. (2016). Association Between Leptin (-2548G/A) Genes Polymorphism and Breast Cancer Susceptibility. Medicine. 95(4). e2566–e2566. 9 indexed citations
20.

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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