Feng Ding

6.8k total citations · 2 hit papers
90 papers, 3.3k citations indexed

About

Feng Ding is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Feng Ding has authored 90 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 18 papers in Plant Science and 14 papers in Cancer Research. Recurrent topics in Feng Ding's work include RNA modifications and cancer (15 papers), RNA Research and Splicing (12 papers) and Plant Reproductive Biology (10 papers). Feng Ding is often cited by papers focused on RNA modifications and cancer (15 papers), RNA Research and Splicing (12 papers) and Plant Reproductive Biology (10 papers). Feng Ding collaborates with scholars based in China, United States and Saudi Arabia. Feng Ding's co-authors include Peng Cui, Liming Xiong, Shahjahan Ali, Shoudong Zhang, Songnian Hu, Jing Guo, Wenhua Song, Zengtian Sun, Jinhua Zhang and Liying Li and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Feng Ding

86 papers receiving 3.3k citations

Hit Papers

Role of the dissolved zinc ion and reactive oxygen specie... 2010 2026 2015 2020 2010 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Ding China 28 1.5k 642 458 298 287 90 3.3k
Xiaojing Li China 35 2.1k 1.5× 988 1.5× 153 0.3× 304 1.0× 280 1.0× 162 3.9k
Cheng Liu China 33 2.6k 1.8× 496 0.8× 186 0.4× 219 0.7× 605 2.1× 157 4.4k
Na Mi China 32 1.1k 0.8× 510 0.8× 237 0.5× 128 0.4× 95 0.3× 125 4.0k
Shuang Li China 23 826 0.6× 270 0.4× 256 0.6× 162 0.5× 249 0.9× 112 2.5k
Xiaoyan Liang China 27 1.1k 0.8× 1.1k 1.8× 117 0.3× 630 2.1× 173 0.6× 112 3.6k
Ying Liang China 35 1.3k 0.9× 811 1.3× 259 0.6× 478 1.6× 213 0.7× 182 4.1k
Shu Zhang China 32 844 0.6× 174 0.3× 234 0.5× 217 0.7× 187 0.7× 126 3.4k
Caixia Li China 30 1.0k 0.7× 286 0.4× 160 0.3× 170 0.6× 240 0.8× 114 2.4k
Wenjuan Zhang China 33 1.4k 1.0× 328 0.5× 177 0.4× 156 0.5× 472 1.6× 128 3.1k
Li Sun China 28 690 0.5× 644 1.0× 143 0.3× 330 1.1× 82 0.3× 192 2.8k

Countries citing papers authored by Feng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ding. A scholar is included among the top collaborators of Feng 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 Feng Ding. Feng 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
2.
Zhu, Zhu, et al.. (2025). Integration of multiple omics reveals key targets and cellular mechanisms for intervention in sarcopenia. Archives of Gerontology and Geriatrics. 142. 106113–106113.
3.
Yang, Fengmin, Feng Wu, Mengmeng Zhang, et al.. (2024). STING antagonist-loaded renal tubule epithelial cell-mimicking nanoparticles ameliorate acute kidney injury by orchestrating innate and adaptive immunity. Nano Today. 55. 102209–102209. 12 indexed citations
4.
5.
Tang, Liwen, Xingyu Ren, Yue Zhang, et al.. (2022). Genome-Wide Identification and Expression Analysis of m6A Writers, Erasers, and Readers in Litchi (Litchi chinensis Sonn.). Genes. 13(12). 2284–2284. 7 indexed citations
6.
Zhao, Yuemeng, Fei Wang, Xiaobai Zhang, et al.. (2021). Optimization of CRISPR/Cas System for Improving Genome Editing Efficiency in Plasmodium falciparum. Frontiers in Microbiology. 11. 625862–625862. 15 indexed citations
7.
Zhang, Lianzhong, Peigang Ning, Feng Ding, et al.. (2020). Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics. European Radiology. 30(12). 6924–6932. 89 indexed citations
8.
Wang, Qi, Pu Xue, Zheng Li, et al.. (2019). A model for the impact of FFPE section thickness on gene copy number measurement by FISH. Scientific Reports. 9(1). 7518–7518. 6 indexed citations
9.
Dai, Yang, Ying Shen, Qingrun Li, et al.. (2017). Glycated Apolipoprotein A-IV Induces Atherogenesis in Patients With CAD in Type 2 Diabetes. Journal of the American College of Cardiology. 70(16). 2006–2019. 31 indexed citations
10.
Zhang, Shuwei, Feng Ding, Peng HongXiang, Yu Huang, & Jiang Lu. (2017). Molecular cloning of a CC–NBS–LRR gene from Vitis quinquangularis and its expression pattern in response to downy mildew pathogen infection. Molecular Genetics and Genomics. 293(1). 61–68. 9 indexed citations
11.
Lin, Qiang, Peng Cui, Feng Ding, Songnian Hu, & Jun Yu. (2012). Replication-Associated Mutational Pressure (RMP) Governs Strand-Biased Compositional Asymmetry (SCA) and Gene Organization in Animal Mitochondrial Genomes. Current Genomics. 13(1). 28–36. 7 indexed citations
12.
Pan, Jing, Qi Zhang, Donghai Xiong, et al.. (2012). Transcriptomic analysis by RNA‐seq reveals AP‐1 pathway as key regulator that green tea may rely on to inhibit lung tumorigenesis. Molecular Carcinogenesis. 53(1). 19–29. 15 indexed citations
13.
Zhang, Zhang, Jun Li, Peng Cui, et al.. (2012). Codon Deviation Coefficient: a novel measure for estimating codon usage bias and its statistical significance. BMC Bioinformatics. 13(1). 43–43. 48 indexed citations
14.
Song, Wenhua, et al.. (2011). Study on acute toxicity and structure–activity relationship of Daphnia magna exposed to naphthoquinones. Environmental Toxicology and Pharmacology. 32(1). 102–106. 7 indexed citations
15.
Yuan, Yuan, et al.. (2010). Molecular genetic analysis of a new form of spinocerebellar ataxia in a Chinese Han family. Neuroscience Letters. 479(3). 321–326. 2 indexed citations
16.
Ding, Feng, et al.. (2010). Evaluation and Structure-Activity Relationship Study of Acute Toxicity of Naphthoquinones to Photobacterium phosphoreum, Photobacterium T3B. Bulletin of Environmental Contamination and Toxicology. 85(2). 116–120. 2 indexed citations
17.
Cui, Peng, Qiang Lin, Chengqi Xin, et al.. (2010). Hydroxyurea-induced global transcriptional suppression in mouse ES cells. Carcinogenesis. 31(9). 1661–1668. 6 indexed citations
18.
Ji, Rimutu, Pin Cui, Feng Ding, et al.. (2009). Monophyletic origin of domestic bactrian camel (Camelus bactrianus) and its evolutionary relationship with the extant wild camel (Camelus bactrianus ferus). Animal Genetics. 40(4). 377–382. 74 indexed citations
19.
Cui, Peng, Rimutu Ji, Feng Ding, et al.. (2007). A complete mitochondrial genome sequence of the wild two-humped camel (Camelus bactrianus ferus): an evolutionary history of camelidae. BMC Genomics. 8(1). 241–241. 61 indexed citations
20.
Ding, Feng & Paula J. Grabowski. (1999). Identification of a protein component of a mammalian tRNASec complex implicated in the decoding of UGA as selenocysteine. RNA. 5(12). 1561–1569. 32 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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