Ding Ma

1.2k total citations
33 papers, 915 citations indexed

About

Ding Ma is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Ding Ma has authored 33 papers receiving a total of 915 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Immunology and 7 papers in Epidemiology. Recurrent topics in Ding Ma's work include Virus-based gene therapy research (6 papers), Immunotherapy and Immune Responses (4 papers) and Ocular Oncology and Treatments (4 papers). Ding Ma is often cited by papers focused on Virus-based gene therapy research (6 papers), Immunotherapy and Immune Responses (4 papers) and Ocular Oncology and Treatments (4 papers). Ding Ma collaborates with scholars based in China and United States. Ding Ma's co-authors include Jérry Y. Niederkorn, Hassan Alizadeh, Robert D. Gerard, Gregorius P. M. Luyten, Theo M. Luider, Yunping Lu, Xiaoyan Li, Lan Yu, Da Zhu and Shixuan Wang and has published in prestigious journals such as Blood, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Ding Ma

32 papers receiving 905 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ding Ma China 17 557 198 166 153 151 33 915
Li‐Jung Juan Taiwan 18 1.1k 1.9× 268 1.4× 182 1.1× 131 0.9× 169 1.1× 20 1.4k
P A Pavco United States 20 1.1k 2.0× 86 0.4× 189 1.1× 208 1.4× 61 0.4× 25 1.3k
Daniela Benati Italy 16 530 1.0× 120 0.6× 34 0.2× 111 0.7× 233 1.5× 25 931
Kevin M. Bean United States 8 463 0.8× 174 0.9× 154 0.9× 66 0.4× 461 3.1× 8 1.1k
Prabhat C. Maudgal Belgium 9 203 0.4× 251 1.3× 71 0.4× 22 0.1× 182 1.2× 14 804
Matthew W. VanBrocklin United States 15 617 1.1× 275 1.4× 126 0.8× 270 1.8× 190 1.3× 32 1.1k
David Peers United States 8 578 1.0× 105 0.5× 121 0.7× 66 0.4× 124 0.8× 8 816
Nancy A. Day United States 10 577 1.0× 178 0.9× 395 2.4× 57 0.4× 59 0.4× 11 977

Countries citing papers authored by Ding Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ding Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ding Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Ding Ma. A scholar is included among the top collaborators of Ding 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 Ding Ma. Ding 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.
Liu, Xiyu, Chao Chen, Zhiqiang Wang, et al.. (2025). MORF4L2 induces immunosuppressive microenvironment and immunotherapy resistance through GRHL2/MORF4L2/H4K12Ac/CSF1 axis in triple-negative breast cancer. Biomarker Research. 13(1). 6–6. 1 indexed citations
2.
Yang, Minwei, Dapeng Xu, Yannan Xu, et al.. (2025). SRSF12 deficiency enhances tumor innervation and accelerates pancreatic tumorigenesis. Cancer Letters. 616. 217563–217563.
3.
Li, Huayi, et al.. (2024). Functional CRISPR screens in T cells reveal new opportunities for cancer immunotherapies. Molecular Cancer. 23(1). 73–73. 10 indexed citations
4.
Zhu, Da, Hui Shen, Songwei Tan, et al.. (2018). Nanoparticles Based on Poly (β-Amino Ester) and HPV16-Targeting CRISPR/shRNA as Potential Drugs for HPV16-Related Cervical Malignancy. Molecular Therapy. 26(10). 2443–2455. 48 indexed citations
5.
Yang, Zongyuan, Yi Liu, Xiaoshui Zhou, et al.. (2015). Co-targeting EGFR and Autophagy Impairs Ovarian Cancer Cell Survival during Detachment from the ECM. Current Cancer Drug Targets. 15(3). 215–226. 14 indexed citations
6.
Liu, Yuan, Jiawen Zhang, Yu Dong, et al.. (2014). Gankyrin Is Frequently Overexpressed in Cervical High Grade Disease and Is Associated with Cervical Carcinogenesis and Metastasis. PLoS ONE. 9(4). e95043–e95043. 24 indexed citations
7.
Yang, Zongyuan, Xiaoshui Zhou, Yi Liu, et al.. (2014). Activation of Integrin β1 Mediates the Increased Malignant Potential of Ovarian Cancer Cells Exerted by Inflammatory Cytokines. Anti-Cancer Agents in Medicinal Chemistry. 14(7). 955–962. 20 indexed citations
8.
Hu, Zheng, Lan Yu, Da Zhu, et al.. (2014). Disruption of HPV16-E7 by CRISPR/Cas System Induces Apoptosis and Growth Inhibition in HPV16 Positive Human Cervical Cancer Cells. BioMed Research International. 2014. 1–9. 165 indexed citations
9.
Ma, Xiangyi, Ling Xi, Danfeng Luo, et al.. (2012). Anti-Tumor Effects of the Peptide TMTP1-GG-D(KLAKLAK)2 on Highly Metastatic Cancers. PLoS ONE. 7(9). e42685–e42685. 30 indexed citations
10.
Wu, Huijuan, Danhui Weng, Hui Xing, Yunping Lu, & Ding Ma. (2007). Reversal of multidrug resistance and inhibition of phosphorylation of AKT in human ovarian cancer cell line by wild-type PTEN gene. Journal of Huazhong University of Science and Technology [Medical Sciences]. 27(6). 713–716. 1 indexed citations
11.
Sima, Ni, Liping Cai, Yuanfang Zhu, et al.. (2007). Relationship between the expression of telomerase and human papillomavirus infection in invasive uterine cervical carcinoma. Journal of Huazhong University of Science and Technology [Medical Sciences]. 27(4). 451–453. 1 indexed citations
12.
Wu, Mingfu, Xiangyang Bai, Gang Xu, et al.. (2007). Proteome analysis of human androgen‐independent prostate cancer cell lines: Variable metastatic potentials correlated with vimentin expression. PROTEOMICS. 7(12). 1973–1983. 53 indexed citations
13.
Wu, Peng, Meng Li, Hui Wang, et al.. (2005). Role of hTERT in apoptosis of cervical cancer induced by histone deacetylase inhibitor. Biochemical and Biophysical Research Communications. 335(1). 36–44. 26 indexed citations
14.
Shi, Xiaobing, et al.. (2005). Establishment and characterization of cell sublines with high and low metastatic potential derived from human osteosarcoma.. PubMed. 118(8). 687–90. 5 indexed citations
15.
Zhang, Ali, Quansheng Wang, Gang Chen, et al.. (2005). [Effect of transcriptional factor snail on epithelial-mesenchymal transition and tumor metastasis].. PubMed. 24(11). 1301–5. 9 indexed citations
16.
Zhang, Ali, Quansheng Wang, Gang Chen, et al.. (2004). Relationship between the expression of connexin43 and bystander effect of suicide gene therapy in ovarian cancer. Current Medical Science. 24(5). 476–479. 4 indexed citations
17.
Ma, Ding, et al.. (1998). Immunologic phenotype of hosts orally immunized with corneal alloantigens.. PubMed. 39(5). 744–53. 17 indexed citations
18.
Ma, Ding, Robert D. Gerard, Xiaoyan Li, Hassan Alizadeh, & Jérry Y. Niederkorn. (1997). Inhibition of Metastasis of Intraocular Melanomas by Adenovirus-Mediated Gene Transfer of Plasminogen Activator Inhibitor Type 1 (PAI-1) in an Athymic Mouse Model. Blood. 90(7). 2738–2746. 68 indexed citations
19.
Alizadeh, Hassan, Ding Ma, M Berman, et al.. (1995). Tissue-type plasminogen activator-induced invasion and metastasis of murine melanomas. Current Eye Research. 14(6). 449–458. 33 indexed citations
20.
Ma, Ding, Sarah A. Comerford, Deborah L. Bellingham, et al.. (1994). CAPACITY OF SIMIAN VIRUS 40 T ANTIGEN TO INDUCE SELF-TOLERANCE BUT NOT IMMUNOLOGICAL PRIVILEGE IN THE ANTERIOR CHAMBER OF THE EYE1. Transplantation. 57(5). 718–724. 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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