Chunming Ding

6.5k total citations
81 papers, 4.1k citations indexed

About

Chunming Ding is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Cancer Research. According to data from OpenAlex, Chunming Ding has authored 81 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 18 papers in Pediatrics, Perinatology and Child Health and 17 papers in Cancer Research. Recurrent topics in Chunming Ding's work include Epigenetics and DNA Methylation (17 papers), Prenatal Screening and Diagnostics (16 papers) and Molecular Biology Techniques and Applications (11 papers). Chunming Ding is often cited by papers focused on Epigenetics and DNA Methylation (17 papers), Prenatal Screening and Diagnostics (16 papers) and Molecular Biology Techniques and Applications (11 papers). Chunming Ding collaborates with scholars based in China, Singapore and Hong Kong. Chunming Ding's co-authors include Charles R. Cantor, Tze Kin Lau, Rossa W. K. Chiu, Yuk Ming Dennis Lo, Shengnan Jin, Tse Ngong Leung, S Chim, Dmitri D. Pervouchine, Farren J. Isaacs and James J. Collins and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Medicine.

In The Last Decade

Chunming Ding

80 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunming Ding China 30 2.5k 1.3k 723 528 457 81 4.1k
Kwong Wai Choy Hong Kong 44 2.5k 1.0× 1.4k 1.0× 1.5k 2.0× 1.1k 2.0× 312 0.7× 232 6.3k
Arnold Oliphant United States 28 2.1k 0.8× 1.5k 1.2× 1.3k 1.8× 388 0.7× 708 1.5× 38 4.5k
Andrew N. Shelling New Zealand 38 1.9k 0.8× 416 0.3× 950 1.3× 357 0.7× 64 0.1× 124 4.1k
Apiwat Mutirangura Thailand 42 3.4k 1.4× 602 0.5× 1.3k 1.9× 911 1.7× 94 0.2× 211 5.7k
Christine A. Wells Australia 41 2.8k 1.1× 198 0.1× 539 0.7× 422 0.8× 436 1.0× 126 5.5k
Hugh Mitchell United States 29 1.3k 0.5× 238 0.2× 301 0.4× 145 0.3× 377 0.8× 85 3.3k
C. Conover Talbot United States 36 2.4k 1.0× 281 0.2× 692 1.0× 679 1.3× 129 0.3× 92 4.6k
Clare Stirzaker Australia 36 4.9k 2.0× 326 0.2× 1.1k 1.5× 913 1.7× 156 0.3× 59 5.7k
Shee‐Uan Chen Taiwan 40 1.0k 0.4× 1.0k 0.8× 343 0.5× 200 0.4× 72 0.2× 208 5.0k
Jonas Heilskov Graversen Denmark 26 1.2k 0.5× 426 0.3× 195 0.3× 230 0.4× 172 0.4× 65 3.6k

Countries citing papers authored by Chunming Ding

Since Specialization
Citations

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

Fields of papers citing papers by Chunming Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunming Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Chunming Ding. A scholar is included among the top collaborators of Chunming Ding 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 Chunming Ding. Chunming Ding 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.
Zhu, Qinghua, et al.. (2025). Prognostic Relevance of MDK and TIMP1 with Immune Infiltration in Lung Adenocarcinoma. International Archives of Allergy and Immunology. 187(3). 318–336. 2 indexed citations
2.
3.
Zheng, Zhihai, et al.. (2024). Suppressing MTERF3 inhibits proliferation of human hepatocellular carcinoma via ROS-mediated p38 MAPK activation. Communications Biology. 7(1). 18–18. 14 indexed citations
4.
Zhang, Wenwen, Huidong Wang, Danli Peng, et al.. (2024). Highly specific multiplex DNA methylation detection for liquid biopsy of colorectal cancer. Clinica Chimica Acta. 565. 120026–120026. 5 indexed citations
5.
Dong, Zhixiong, Jinhai Li, Dongbo Yu, et al.. (2023). RRP15 deficiency induces ribosome stress to inhibit colorectal cancer proliferation and metastasis via LZTS2-mediated β-catenin suppression. Cell Death and Disease. 14(2). 89–89. 12 indexed citations
6.
Yu, Li, Miaomiao Cai, Wenwen Zhang, et al.. (2023). Cas12a-based direct visualization of nanoparticle-stabilized fluorescence signal for multiplex detection of DNA methylation biomarkers. Biosensors and Bioelectronics. 244. 115810–115810. 11 indexed citations
7.
Zhang, Chengliang, Shijie Dong, Jingmei Wang, et al.. (2022). Direct adenylation from 5′-OH-terminated oligonucleotides by a fusion enzyme containing Pfu RNA ligase and T4 polynucleotide kinase. Nucleic Acids Research. 50(13). 7560–7569. 2 indexed citations
8.
9.
Li, Jingyu, Xu Yang, Xiaoyu Liu, et al.. (2022). Metabolic control of histone acetylation for precise and timely regulation of minor ZGA in early mammalian embryos. Cell Discovery. 8(1). 96–96. 66 indexed citations
10.
Xu, Liang, Dandan Li, Xue Liang, et al.. (2021). Swertiamarin supplementation prevents obesity-related chronic inflammation and insulin resistance in mice fed a high-fat diet. Adipocyte. 10(1). 160–173. 24 indexed citations
11.
Lei, Wei, Yanhong Liu, Hua Zhang, et al.. (2020). TMPO-AS1, a Novel E2F1-Regulated lncRNA, Contributes to the Proliferation of Lung Adenocarcinoma Cells via Modulating miR-326/SOX12 Axis. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Du, Jiawei, Ming Zong, Weijia Wang, et al.. (2020). Argonaute 2 is a key regulator of maternal mRNA degradation in mouse early embryos. Cell Death Discovery. 6(1). 133–133. 18 indexed citations
13.
Jiao, Xiao‐Dong, Chunming Ding, Yuan‐Sheng Zang, & Guanzhen Yu. (2018). Rapid symptomatic relief of HER2-positive gastric cancer leptomeningeal carcinomatosis with lapatinib, trastuzumab and capecitabine: a case report. BMC Cancer. 18(1). 206–206. 10 indexed citations
14.
Ding, Chunming. (2008). MALDI-TOF Mass Spectrometry for Analyzing Cell-Free Fetal DNA in Maternal Plasma. Methods in molecular biology. 444. 253–267. 18 indexed citations
15.
Ding, Chunming & Yuk Ming Dennis Lo. (2006). MALDI‐TOF Mass Spectrometry for Quantitative, Specific, and Sensitive Analysis of DNA and RNA. Annals of the New York Academy of Sciences. 1075(1). 282–287. 9 indexed citations
16.
17.
Mao, Hua, Susan M. Cibulsky, Mats Holmqvist, et al.. (2005). MONaKA, a Novel Modulator of the Plasma Membrane Na,K-ATPase. Journal of Neuroscience. 25(35). 7934–7943. 23 indexed citations
18.
Rachlin, Jacob R., Chunming Ding, C R Cantor, & Simon Kasif. (2005). MuPlex: multi-objective multiplex PCR assay design. Nucleic Acids Research. 33(Web Server). W544–W547. 67 indexed citations
19.
Isaacs, Farren J., Daniel J. Dwyer, Chunming Ding, et al.. (2004). Engineered riboregulators enable post-transcriptional control of gene expression. Nature Biotechnology. 22(7). 841–847. 425 indexed citations
20.
Ding, Chunming, Esther M. Maier, Adelbert A. Roscher, Andreas Braun, & Charles R. Cantor. (2004). Simultaneous quantitative and allele-specific expression analysis with real competitive PCR. BMC Genetics. 5(1). 8–8. 31 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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