Dafa Ding

993 total citations
22 papers, 823 citations indexed

About

Dafa Ding is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Dafa Ding has authored 22 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cancer Research and 5 papers in Epidemiology. Recurrent topics in Dafa Ding's work include Cancer-related molecular mechanisms research (5 papers), Extracellular vesicles in disease (3 papers) and Gastrointestinal motility and disorders (3 papers). Dafa Ding is often cited by papers focused on Cancer-related molecular mechanisms research (5 papers), Extracellular vesicles in disease (3 papers) and Gastrointestinal motility and disorders (3 papers). Dafa Ding collaborates with scholars based in China and United States. Dafa Ding's co-authors include Xiaolong Ye, Yibing Lu, Heng Miao, Yibing Lu, Yayun Wang, You Na, Jiarong Xu, Qun Zhu, Qiang You and Shanshan Huang and has published in prestigious journals such as Scientific Reports, Experimental Cell Research and Medicine.

In The Last Decade

Dafa Ding

21 papers receiving 813 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dafa Ding China 15 497 181 174 135 96 22 823
Heng Miao China 14 371 0.7× 203 1.1× 126 0.7× 71 0.5× 95 1.0× 37 809
Ran Zhao China 13 431 0.9× 115 0.6× 239 1.4× 35 0.3× 15 0.2× 31 863
Nikole J. Byrne Canada 13 548 1.1× 70 0.4× 271 1.6× 35 0.3× 125 1.3× 15 1.1k
Shunmin Li China 15 274 0.6× 101 0.6× 99 0.6× 32 0.2× 40 0.4× 33 666
Aoyuan Cui China 11 529 1.1× 400 2.2× 219 1.3× 75 0.6× 25 0.3× 18 960
Maryam Shabani Iran 12 186 0.4× 175 1.0× 110 0.6× 41 0.3× 46 0.5× 32 564
Jia Song China 14 226 0.5× 75 0.4× 67 0.4× 57 0.4× 10 0.1× 37 568
Óscar Escribano Spain 19 454 0.9× 265 1.5× 281 1.6× 168 1.2× 11 0.1× 43 1.1k
Alessandra Mingione Italy 16 285 0.6× 77 0.4× 184 1.1× 26 0.2× 11 0.1× 33 888
Yongli Zhan China 13 185 0.4× 97 0.5× 68 0.4× 28 0.2× 31 0.3× 33 636

Countries citing papers authored by Dafa Ding

Since Specialization
Citations

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

Fields of papers citing papers by Dafa Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dafa Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Dafa Ding. A scholar is included among the top collaborators of Dafa 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 Dafa Ding. Dafa 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.
Lu, Qingmiao, et al.. (2024). Rheb1 deficiency elicits mitochondrial dysfunction and accelerates podocyte senescence through promoting Atp5f1c acetylation. Cellular Signalling. 124. 111451–111451. 4 indexed citations
2.
3.
Wang, Si-Jing, Panpan Ma, Xiaolong Ye, et al.. (2024). Serum bile acid and unsaturated fatty acid profiles of non-alcoholic fatty liver disease in type 2 diabetic patients. World Journal of Diabetes. 15(5). 898–913. 5 indexed citations
4.
Shi, Huimin, Hui Zheng, Emily Wang, et al.. (2023). Satellite cell-derived exosome-mediated delivery of microRNA-23a/27a/26a cluster ameliorates the renal tubulointerstitial fibrosis in mouse diabetic nephropathy. Acta Pharmacologica Sinica. 44(12). 2455–2468. 20 indexed citations
5.
Chen, Lijuan, Hang Chang, Bo Hang, et al.. (2023). Association of Serum Bile Acid and Unsaturated Fatty Acid Profiles with the Risk of Diabetic Retinopathy in Type 2 Diabetic Patients. Diabetes Metabolic Syndrome and Obesity. Volume 16. 2117–2128. 2 indexed citations
6.
Chen, Lijuan, Zhicheng Cui, Si-Jing Wang, et al.. (2023). Fecal microbiota transplantation ameliorates type 2 diabetes via metabolic remodeling of the gut microbiota in db/db mice. BMJ Open Diabetes Research & Care. 11(3). e003282–e003282. 29 indexed citations
7.
Ding, Dafa, You Na, Yang Xu, et al.. (2022). Prospective Study Reveals Host Microbial Determinants of Clinical Response to Fecal Microbiota Transplant Therapy in Type 2 Diabetes Patients. Frontiers in Cellular and Infection Microbiology. 12. 820367–820367. 43 indexed citations
8.
Wang, Yayun, Xiaolong Ye, Dafa Ding, & Yibing Lu. (2020). Characteristics of the intestinal flora in patients with peripheral neuropathy associated with type 2 diabetes. Journal of International Medical Research. 48(9). 1220736358–1220736358. 59 indexed citations
9.
Cai, Tingting, Xiaolong Ye, Hui Chen, et al.. (2020). Resveratrol Modulates the Gut Microbiota and Inflammation to Protect Against Diabetic Nephropathy in Mice. Frontiers in Pharmacology. 11. 1249–1249. 167 indexed citations
10.
Tan, Juan, Bin Song, Tingting Cai, et al.. (2020). Overexpression of novel long intergenic non‑coding RNA LINC02454 is associated with a poor prognosis in papillary thyroid cancer. Oncology Reports. 44(4). 1489–1501. 12 indexed citations
11.
Sun, Lingmei, Xiaolong Ye, Dafa Ding, & Kai Liao. (2019). Opposite effects of vitamin C and vitamin E on the antifungal activity of honokiol. Journal of Microbiology and Biotechnology. 29(4). 538–547. 8 indexed citations
12.
Song, Bin, et al.. (2019). LncRNA ENST00000539653 acts as an oncogenic factor via MAPK signalling in papillary thyroid cancer. BMC Cancer. 19(1). 297–297. 19 indexed citations
13.
Cai, Tingting, Bin Song, Bota Cui, et al.. (2018). Fecal microbiota transplantation relieve painful diabetic neuropathy. Medicine. 97(50). e13543–e13543. 41 indexed citations
14.
15.
Chen, Sheng, Jiarong Xu, Qun Zhu, et al.. (2018). Dysregulation of lncRNAs GM5524 and GM15645 involved in high‑glucose‑induced podocyte apoptosis and autophagy in diabetic nephropathy. Molecular Medicine Reports. 18(4). 3657–3664. 40 indexed citations
16.
Huang, Shanshan, Dafa Ding, Sheng Chen, et al.. (2017). Resveratrol protects podocytes against apoptosis via stimulation of autophagy in a mouse model of diabetic nephropathy. Scientific Reports. 7(1). 45692–45692. 92 indexed citations
17.
Chen, Zhuyun, Xiaofei An, Xi Liu, et al.. (2017). Hyperoside alleviates adriamycin-induced podocyte injury via inhibiting mitochondrial fission. Oncotarget. 8(51). 88792–88803. 25 indexed citations
18.
Chen, Sheng, Xiaoxiao Qian, Shanshan Huang, et al.. (2016). Microarray analysis of long noncoding RNA expression patterns in diabetic nephropathy. Journal of Diabetes and its Complications. 31(3). 569–576. 31 indexed citations
19.
Huang, Shanshan, You Na, Jiarong Xu, et al.. (2015). Heme oxygenase-1 enhances autophagy in podocytes as a protective mechanism against high glucose-induced apoptosis. Experimental Cell Research. 337(2). 146–159. 86 indexed citations
20.
Ding, Dafa, You Na, Xiaomei Wu, et al.. (2010). Resveratrol Attenuates Renal Hypertrophy in Early-Stage Diabetes by Activating AMPK. American Journal of Nephrology. 31(4). 363–374. 92 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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