Ding Ma

755 total citations · 1 hit paper
17 papers, 371 citations indexed

About

Ding Ma is a scholar working on Molecular Biology, Epidemiology and Reproductive Medicine. According to data from OpenAlex, Ding Ma has authored 17 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Epidemiology and 4 papers in Reproductive Medicine. Recurrent topics in Ding Ma's work include RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers) and Cervical Cancer and HPV Research (4 papers). Ding Ma is often cited by papers focused on RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers) and Cervical Cancer and HPV Research (4 papers). Ding Ma collaborates with scholars based in China, United States and Japan. Ding Ma's co-authors include B.A. Roe, Shintaro Iwasaki, Mari Mito, Xuewei Zhao, Rebecca K. Wilson, Takeo Suzuki, Tsutomu Suzuki, Yuriko Sakaguchi, Jong Fu Wong and Hironori Saito and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ding Ma

13 papers receiving 361 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Advances in cervical cancer: current insights and future directions

2024 34 citations Canhui Cao, Peng Wu et al. Cancer Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ding Ma China	8	328	47	36	33	20	17	371
Sylvain Lanouette Canada	7	460 1.4×	24 0.5×	41 1.1×	26 0.8×	9 0.5×	9	501
Heidi Giese United States	8	282 0.9×	106 2.3×	42 1.2×	48 1.5×	8 0.4×	10	369
Lars Schomacher Germany	10	273 0.8×	28 0.6×	40 1.1×	61 1.8×	9 0.5×	13	307
Maria E. Valieva Russia	12	425 1.3×	19 0.4×	45 1.3×	26 0.8×	9 0.5×	21	460
Kana Asano Japan	7	606 1.8×	121 2.6×	42 1.2×	41 1.2×	19 0.9×	9	671
Valéria Szukacsov Hungary	6	304 0.9×	49 1.0×	72 2.0×	25 0.8×	27 1.4×	7	343
Yoonjung Shim United States	7	295 0.9×	35 0.7×	21 0.6×	29 0.9×	8 0.4×	8	325
Anthony Sanchez United States	10	298 0.9×	30 0.6×	59 1.6×	26 0.8×	21 1.1×	15	361
Alvin Liu United States	7	181 0.6×	15 0.3×	36 1.0×	32 1.0×	13 0.7×	11	272
Hervé Brulé France	8	625 1.9×	34 0.7×	25 0.7×	30 0.9×	8 0.4×	9	648

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

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Guo, Jin, S. Xiong, Xinyuan Zhang, et al.. (2025). Preclinical Efficacy and Safety of an Oncolytic Adenovirus KD01 for the Treatment of Bladder Cancer. Pharmaceuticals. 18(4). 511–511.

Wang, Shirui, Jingyu Zhu, Ning Wu, et al.. (2025). Pre-treatment nutrition-related indicators and the prognosis of patients with newly diagnosed epithelial ovarian cancer: an ambispective cohort study. Frontiers in Nutrition. 12. 1489934–1489934. 1 indexed citations

Oaknin, Ana, Juan Francisco Grau-Béjar, Gordon B. Mills, et al.. (2025). Molecular and clinical insights into early-onset endometrial cancer. Trends in cancer. 11(6). 503–519.

Gao, Chun, Renjie Wang, Rui Long, et al.. (2025). A novel dual-effect bimodal chip cancer research platform: Chips system interconnected vascularized tumor organoids culture with real-time exploration and detection from bench to bedside. Cancer Letters. 640. 218110–218110.

Li, Huayi, Wenjian Gong, Gordon B. Mills, et al.. (2025). The distinct landscape of tumor immune microenvironment in homologous recombination deficient cancers. Biomarker Research. 13(1). 108–108.

Li, Jingran, Xiao Li, Xinyu Wang, et al.. (2025). Guidelines for cervical cancer screening in China II. SHILAP Revista de lepidopterología. 5(2). e000205–e000205. 1 indexed citations

Kong, Beihua, Jie Jiang, Chen Liang, et al.. (2025). SHR-A1811 in patients (pts) with HER2-expressing advanced gynecological cancers (Gynecol C): A phase 2 study.. Journal of Clinical Oncology. 43(16_suppl). 5612–5612. 1 indexed citations

Cao, Canhui, et al.. (2024). Advances in cervical cancer: current insights and future directions. Cancer Communications. 45(2). 77–109. 34 indexed citations breakdown →

Li, Yanyun, Hongwei Zhang, Qing Cong, et al.. (2024). Chinese expert consensus on diagnosis and treatment of anal intraepithelial neoplasia. SHILAP Revista de lepidopterología. 4(1). e000013–e000013. 1 indexed citations

10.

Zhao, Xuewei, Ding Ma, Kensuke Ishiguro, et al.. (2023). Glycosylated queuosines in tRNAs optimize translational rate and post-embryonic growth. Cell. 186(25). 5517–5535.e24. 40 indexed citations

11.

Qin, Xu, Zizhuo Wang, Junpeng Fan, et al.. (2022). Metagenomic analysis of the microbiome of the upper reproductive tract: combating ovarian cancer through predictive, preventive, and personalized medicine. The EPMA Journal. 13(3). 487–498. 11 indexed citations

12.

Zhang, Jianwei, Xiaoyan Wang, Jun Wang, et al.. (2022). Sequential gene expression analysis of cervical malignant transformation identifies RFC4 as a novel diagnostic and prognostic biomarker. BMC Medicine. 20(1). 437–437. 4 indexed citations

13.

Suzuki, Takeo, Yuka Yashiro, Yuma Ishigami, et al.. (2020). Complete chemical structures of human mitochondrial tRNAs. Nature Communications. 11(1). 4269–4269. 183 indexed citations

14.

Ma, Ding, et al.. (1988). Characterization of a highly repeated satellite DNA from the cyprinid fish Notropis lutrensis. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 91(4). 639–646. 17 indexed citations

15.

Ma, Ding & John Doebley. (1986). Nucleotide sequence of the split tRNAleu(UAA) gene from Sorghum bicolor chloroplasts. Gene. 43(1-2). 169–174. 7 indexed citations

16.

Ma, Ding, et al.. (1984). Nucleotide sequences of two regions of the human genome containing tRNAAsm genes. Gene. 28(2). 257–262. 14 indexed citations

17.

Wong, Jong Fu, Ding Ma, Rebecca K. Wilson, & B.A. Roe. (1983). DNA sequence of theXenopus laevismitochondrial heavy and light strand replication origins and flanking tRNA genes. Nucleic Acids Research. 11(14). 4977–4995. 57 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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