Miao Ding

672 total citations
33 papers, 509 citations indexed

About

Miao Ding is a scholar working on Genetics, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Miao Ding has authored 33 papers receiving a total of 509 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 18 papers in Molecular Biology and 4 papers in Cognitive Neuroscience. Recurrent topics in Miao Ding's work include Genetic Associations and Epidemiology (8 papers), Genetics and Neurodevelopmental Disorders (8 papers) and Virus-based gene therapy research (7 papers). Miao Ding is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Genetics and Neurodevelopmental Disorders (8 papers) and Virus-based gene therapy research (7 papers). Miao Ding collaborates with scholars based in China, United States and Canada. Miao Ding's co-authors include Yan Zhao, Yanan Du, Bolun Cheng, Mei Ma, Shiqiang Cheng, Li Liu, Yan Wen, Xiao Liang, Ping Li and Xiong Guo and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Analytical Chemistry.

In The Last Decade

Miao Ding

33 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Miao Ding China 14 281 180 71 51 49 33 509
Juan Xiong China 14 210 0.7× 146 0.8× 44 0.6× 8 0.2× 104 2.1× 57 586
Ning Tong China 11 254 0.9× 47 0.3× 88 1.2× 29 0.6× 15 0.3× 22 655
Lionel Lim Singapore 14 256 0.9× 251 1.4× 54 0.8× 9 0.2× 144 2.9× 27 720
Mohammad Mahdi Eftekharian Iran 16 225 0.8× 97 0.5× 69 1.0× 4 0.1× 47 1.0× 54 643
Johannes Klose Germany 17 296 1.1× 82 0.5× 271 3.8× 23 0.5× 12 0.2× 54 987
Jelka Gabrilovac Croatia 15 307 1.1× 83 0.5× 208 2.9× 14 0.3× 55 1.1× 63 719
Michele Salemi Italy 16 382 1.4× 119 0.7× 127 1.8× 4 0.1× 36 0.7× 76 804
Jan Steiner United Kingdom 7 247 0.9× 398 2.2× 358 5.0× 82 1.6× 54 1.1× 11 762
Nicklas Heine Staunstrup Denmark 13 426 1.5× 280 1.6× 46 0.6× 3 0.1× 29 0.6× 30 569
Abhishek Shastri United Kingdom 10 191 0.7× 22 0.1× 77 1.1× 9 0.2× 38 0.8× 13 716

Countries citing papers authored by Miao Ding

Since Specialization
Citations

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

Fields of papers citing papers by Miao Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Miao Ding. A scholar is included among the top collaborators of Miao 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 Miao Ding. Miao 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.
Fu, Lei, et al.. (2024). A robust hybrid estimation method for local bearing defect size based on analytical model and morphological analysis. ISA Transactions. 157. 392–407. 1 indexed citations
2.
3.
Du, Yanan, Ping Li, Yan Wen, et al.. (2019). Evaluating the Correlations Between Osteoporosis and Lifestyle-Related Factors Using Transcriptome-Wide Association Study. Calcified Tissue International. 106(3). 256–263. 11 indexed citations
4.
Qi, Xin, Sen Wang, Lu Zhang, et al.. (2019). An integrative analysis of transcriptome-wide association study and mRNA expression profile identified candidate genes for attention-deficit/hyperactivity disorder. Psychiatry Research. 282. 112639–112639. 21 indexed citations
5.
Ma, Mei, Dageng Huang, Xue Liang, et al.. (2019). Integrating transcriptome-wide association study and mRNA expression profiling identifies novel genes associated with bone mineral density. Osteoporosis International. 30(7). 1521–1528. 11 indexed citations
6.
Zhao, Yan, Xiao Liang, Feng Zhu, et al.. (2018). A large-scale integrative analysis of GWAS and common meQTLs across whole life course identifies genes, pathways and tissue/cell types for three major psychiatric disorders. Neuroscience & Biobehavioral Reviews. 95. 347–352. 25 indexed citations
7.
Cheng, Bolun, Yanan Du, Yan Wen, et al.. (2018). Integrative analysis of genome-wide association study and chromosomal enhancer maps identified brain region related pathways associated with ADHD. Comprehensive Psychiatry. 88. 65–69. 3 indexed citations
8.
Liang, Xiao, Cuiyan Wu, Hongmou Zhao, et al.. (2018). Assessing the genetic correlations between early growth parameters and bone mineral density: A polygenic risk score analysis. Bone. 116. 301–306. 8 indexed citations
9.
Ding, Miao, Ping Li, Yan Wen, et al.. (2018). Integrative analysis of genome-wide association study and brain region related enhancer maps identifies biological pathways for insomnia. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 86. 180–185. 14 indexed citations
10.
11.
Liang, Xiao, Yanan Du, Yan Wen, et al.. (2018). Assessing the Genetic Correlations Between Blood Plasma Proteins and Osteoporosis: A Polygenic Risk Score Analysis. Calcified Tissue International. 104(2). 171–181. 13 indexed citations
12.
Wang, Sheng, et al.. (2018). Spying on protein interactions in living cells with reconstituted scarlet light. The Analyst. 143(21). 5161–5169. 3 indexed citations
13.
Huang, Huimei, Shiqiang Cheng, Miao Ding, et al.. (2018). Integrative analysis of transcriptome‐wide association study and mRNA expression profiles identifies candidate genes associated with autism spectrum disorders. Autism Research. 12(1). 33–38. 10 indexed citations
14.
Zhao, Yan, Feng Zhu, Miao Ding, et al.. (2017). Integrating genome-wide association study and expression quantitative trait locus study identifies multiple genes and gene sets associated with schizophrenia. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 81. 50–54. 26 indexed citations
15.
Wang, Sheng, Miao Ding, Xuanze Chen, Lei Chang, & Yujie Sun. (2017). Development of bimolecular fluorescence complementation using rsEGFP2 for detection and super-resolution imaging of protein-protein interactions in live cells. Biomedical Optics Express. 8(6). 3119–3119. 26 indexed citations
16.
Qin, Jun, Jing Liang, & Miao Ding. (2014). Perlecan Antagonizes Collagen IV and ADAMTS9/GON-1 in Restricting the Growth of Presynaptic Boutons. Journal of Neuroscience. 34(31). 10311–10324. 22 indexed citations
17.
Ding, Miao, et al.. (2012). Prostate Cancer-Specific and Potent Antitumor Effect of a DD3-Controlled Oncolytic Virus Harboring the PTEN Gene. PLoS ONE. 7(4). e35153–e35153. 19 indexed citations
18.
Cao, Xin, Min Yang, Yan Zeng, et al.. (2011). Cancer targeting Gene-Viro-Therapy of liver carcinoma by dual-regulated oncolytic adenovirus armed with TRAIL gene. Gene Therapy. 18(8). 765–777. 30 indexed citations
19.
Fan, Jun, Na Wei, Miao Ding, et al.. (2009). Targeting Gene‐ViroTherapy for prostate cancer by DD3‐driven oncolytic virus‐harboring interleukin‐24 gene. International Journal of Cancer. 127(3). 707–717. 26 indexed citations
20.
Fan, Jun, Tian Xiao, Jin Gu, et al.. (2008). Increased suppression of oncolytic adenovirus carrying mutant k5 on colorectal tumor. Biochemical and Biophysical Research Communications. 374(2). 198–203. 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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